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Debug ROS 2 transforms in Rerun 💡 ROS 2’s tf2 gives robotics teams a shared language for tracking coordinate frames over time — transforming data between things like camera_link and base_link. Rerun supports the same idea with named transforms, letting you decouple spatial relationships from your entity hierarchy. This...

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Rerun

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15,982 просмотров • 7 месяцев назад •via X (Twitter)

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Love and Deepspace | Rerun Event Preview The 5-Star Rate UP Pool [No Defense Zone] Limited-Time Rerun will start soon! "If you wanna tame me, you'll need more than that." 💫Event Duration: From 05:00 on Aug. 24 to 04:59 on Aug. 31 (Server Time) 💫The 5-Star Rate UP Pool [No Defense Zone] Limited-Time Rerun Event 1. During the event, make a wish with [Deepspace Wish] or [Time Wish: Limited] to participate in the wish event. The drop rate of the event-limited 5-Star Memory [Sylus: No Defense Zone] will go up drastically. 2. After the event ends, this limited 5-Star Memory will not be obtainable through other means and will not enter the permanent Wish Pool: Xspace Echo. 3. All Rerun Wish Pools share one pity system. A 5-Star Memory is guaranteed within a specific attempt of wishes. If the 5-Star Memory you have obtained from the Rerun Wish Pool is not the event-limited Memory, you will obtain the event-limited Memory the next time you obtain a 5-Star Memory. The pity count from the last Rerun Wish Pool can be applied to this Rerun Wish Pool, and the pity count in this Rerun Wish Pool will also be applied to the upcoming Rerun Wish Pool. *You can read more about the event on the in-game rules page. 🎁New Packs During the event, the Rerun event-exclusive [Midnight Reverie Pack] series, which includes [Time Wish: Limited] and other materials, will be available in Shop. Notes: 1. [Time Wish: Limited] can be used in 5-Star Memory Wish Pool Rerun and will be used first when you make a wish. 2. After the event ends, [Time Wish: Limited] will automatically convert to Empyrean Wish. ——— 🪐Official Discord: 🪐Download and Log in Now: #LoveandDeepspace #Sylus
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Love and Deepspace | Rerun Event Preview The 5-Star Rate UP Pool [No Defense Zone] Limited-Time Rerun will start soon! "If you wanna tame me, you'll need more than that." 💫Event Duration: From 05:00 on Aug. 24 to 04:59 on Aug. 31 (Server Time) 💫The 5-Star Rate UP Pool [No Defense Zone] Limited-Time Rerun Event 1. During the event, make a wish with [Deepspace Wish] or [Time Wish: Limited] to participate in the wish event. The drop rate of the event-limited 5-Star Memory [Sylus: No Defense Zone] will go up drastically. 2. After the event ends, this limited 5-Star Memory will not be obtainable through other means and will not enter the permanent Wish Pool: Xspace Echo. 3. All Rerun Wish Pools share one pity system. A 5-Star Memory is guaranteed within a specific attempt of wishes. If the 5-Star Memory you have obtained from the Rerun Wish Pool is not the event-limited Memory, you will obtain the event-limited Memory the next time you obtain a 5-Star Memory. The pity count from the last Rerun Wish Pool can be applied to this Rerun Wish Pool, and the pity count in this Rerun Wish Pool will also be applied to the upcoming Rerun Wish Pool. *You can read more about the event on the in-game rules page. 🎁New Packs During the event, the Rerun event-exclusive [Midnight Reverie Pack] series, which includes [Time Wish: Limited] and other materials, will be available in Shop. Notes: 1. [Time Wish: Limited] can be used in 5-Star Memory Wish Pool Rerun and will be used first when you make a wish. 2. After the event ends, [Time Wish: Limited] will automatically convert to Empyrean Wish. ——— 🪐Official Discord: 🪐Download and Log in Now: #LoveandDeepspace #Sylus

Love and Deepspace

575,881 просмотров • 1 месяц назад

We're releasing XDOF s ABC-130k dataset converted to RRD on a Hugging Face bucket, along with the conversion code. ABC-130k is the largest open-source bi-manual teleoperation dataset published to date. With Rerun, you can view all the episodes, query for insights, and use them in training workflows. One interesting finding is that annotators use varying levels of granularity for subtask labeling. Take the chess task in this video, for example: One episode uses language like 'place the chess piece', while another uses a fine-grained description like 'place the queen/pawn at E8'. This distinction is clearly visualized in Rerun through the colors in the state view! Our repo also includes a "mistake" query example and other interesting observations about the dataset, complementing the official ABC-130k dataset card. Download a subset and explore it yourself!! What other open datasets would you like to see in RRD?
1:24

We're releasing XDOF s ABC-130k dataset converted to RRD on a Hugging Face bucket, along with the conversion code. ABC-130k is the largest open-source bi-manual teleoperation dataset published to date. With Rerun, you can view all the episodes, query for insights, and use them in training workflows. One interesting finding is that annotators use varying levels of granularity for subtask labeling. Take the chess task in this video, for example: One episode uses language like 'place the chess piece', while another uses a fine-grained description like 'place the queen/pawn at E8'. This distinction is clearly visualized in Rerun through the colors in the state view! Our repo also includes a "mistake" query example and other interesting observations about the dataset, complementing the official ABC-130k dataset card. Download a subset and explore it yourself!! What other open datasets would you like to see in RRD?

Rerun

21,040 просмотров • 1 месяц назад

Love and Deepspace | Rerun Event Preview The 5-Star Rate UP Pool [Everlasting Dream] Limited-Time Rerun will start soon! "Since you seem to know everything, you should enlighten me." 💫Event Duration: From 05:00 on Nov. 13 to 04:59 on Nov. 20 (Server Time) 💫The 5-Star Rate UP Pool [Everlasting Dream] Limited-Time Rerun Event 1. During the event, make a wish with [Deepspace Wish] or [Time Wish: Limited] to participate in the wish event. The drop rate of the event-limited 5-Star Memory [Xavier: Heartstring Symphony] will go up drastically. 2. After the event ends, this limited 5-Star Memory will not be obtainable through other means and will not enter the permanent Wish Pool: Xspace Echo. 3. All Rerun Wish Pools share one pity system. A 5-Star Memory is guaranteed within a specific attempt of wishes. If the 5-Star Memory you've obtained from the Rerun Wish Pool is not the event-limited Memory, you will obtain the event-limited Memory the next time you obtain a 5-Star Memory. The pity count from the last Rerun Wish Pool can be applied to this Rerun Wish Pool, and the pity count in this Rerun Wish Pool will also be applied to the upcoming Rerun Wish Pool. *You can read more about the event on the in-game rules page. 🎁New Packs During the event, the Rerun event-exclusive [Dreamheart Pack] series, which includes [Time Wish: Limited] and other materials, will be available in Shop. Notes: 1. [Time Wish: Limited] can be used in 5-Star Memory Wish Pool Rerun and will be used first when you make a wish. 2. After the event ends, [Time Wish: Limited] will automatically convert to Empyrean Wish. ——— 🪐Official Discord: #LoveandDeepspace #Xavier
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Love and Deepspace | Rerun Event Preview The 5-Star Rate UP Pool [Everlasting Dream] Limited-Time Rerun will start soon! "Since you seem to know everything, you should enlighten me." 💫Event Duration: From 05:00 on Nov. 13 to 04:59 on Nov. 20 (Server Time) 💫The 5-Star Rate UP Pool [Everlasting Dream] Limited-Time Rerun Event 1. During the event, make a wish with [Deepspace Wish] or [Time Wish: Limited] to participate in the wish event. The drop rate of the event-limited 5-Star Memory [Xavier: Heartstring Symphony] will go up drastically. 2. After the event ends, this limited 5-Star Memory will not be obtainable through other means and will not enter the permanent Wish Pool: Xspace Echo. 3. All Rerun Wish Pools share one pity system. A 5-Star Memory is guaranteed within a specific attempt of wishes. If the 5-Star Memory you've obtained from the Rerun Wish Pool is not the event-limited Memory, you will obtain the event-limited Memory the next time you obtain a 5-Star Memory. The pity count from the last Rerun Wish Pool can be applied to this Rerun Wish Pool, and the pity count in this Rerun Wish Pool will also be applied to the upcoming Rerun Wish Pool. *You can read more about the event on the in-game rules page. 🎁New Packs During the event, the Rerun event-exclusive [Dreamheart Pack] series, which includes [Time Wish: Limited] and other materials, will be available in Shop. Notes: 1. [Time Wish: Limited] can be used in 5-Star Memory Wish Pool Rerun and will be used first when you make a wish. 2. After the event ends, [Time Wish: Limited] will automatically convert to Empyrean Wish. ——— 🪐Official Discord: #LoveandDeepspace #Xavier

Love and Deepspace

270,368 просмотров • 10 месяцев назад

Timing in VFX is one of those skills that completely transforms a piece once you obtain the tools to study and implement it in your work. Press play to see how our last student cohort approached pacing and structure in their effects: #VFX #GameDev #RealtimeVFX
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Timing in VFX is one of those skills that completely transforms a piece once you obtain the tools to study and implement it in your work. Press play to see how our last student cohort approached pacing and structure in their effects: #VFX #GameDev #RealtimeVFX

VFXApprentice

15,701 просмотров • 1 месяц назад

Most people think Rerun is a visualization tool. In reality, it's a database masquerading as a visualizer. I wanted to showcase this functionality by building a full data pipeline consisting of: ingestion → baseline method → eval → finetuning for SLAM on egocentric data. I'll eventually extend this to the rest of my ego/exo datasets, but I wanted to start with a smaller bunch of datasets first. Rerun allows you to expose your saved .rrd files to a catalog where you store datasets. You can query, filter, and join them like any database using DataFusion under the hood. These are the same .rrd files that are automatically generated whenever you visualize anything in Rerun and decide to save it to disk. I brought in 109 VSLAM-LAB sequences across 14 datasets into the Rerun catalog as an example. These include 7Scenes, Euroc, eth3d, and others. Now I can query them with segment_table, filter_segments, and filter_contents instead of parsing CSVs and YAML files. With a strong set of ground-truth datasets for SLAM, baseline additions become nearly automatic with agents like Opus/Codex. This unification of data and visualization is imo the largest missing part for Physical AI. Visualization becomes a natural byproduct of having your data properly structured and queryable. The catalog API is what makes it a database, not just a viewer. I initially focused on VSLAM-LAB data, but I'll migrate all the egoexo data to this format in the coming days to really show just how useful this is.
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Most people think Rerun is a visualization tool. In reality, it's a database masquerading as a visualizer. I wanted to showcase this functionality by building a full data pipeline consisting of: ingestion → baseline method → eval → finetuning for SLAM on egocentric data. I'll eventually extend this to the rest of my ego/exo datasets, but I wanted to start with a smaller bunch of datasets first. Rerun allows you to expose your saved .rrd files to a catalog where you store datasets. You can query, filter, and join them like any database using DataFusion under the hood. These are the same .rrd files that are automatically generated whenever you visualize anything in Rerun and decide to save it to disk. I brought in 109 VSLAM-LAB sequences across 14 datasets into the Rerun catalog as an example. These include 7Scenes, Euroc, eth3d, and others. Now I can query them with segment_table, filter_segments, and filter_contents instead of parsing CSVs and YAML files. With a strong set of ground-truth datasets for SLAM, baseline additions become nearly automatic with agents like Opus/Codex. This unification of data and visualization is imo the largest missing part for Physical AI. Visualization becomes a natural byproduct of having your data properly structured and queryable. The catalog API is what makes it a database, not just a viewer. I initially focused on VSLAM-LAB data, but I'll migrate all the egoexo data to this format in the coming days to really show just how useful this is.

Pablo Vela

35,179 просмотров • 4 месяцев назад

on 8/3, we launched mainnet in singapore. today, we launch BSMNTᴮᴱᵀᴬ, a discovery platform that transforms how you play onchain. this is just the beginning, but the future of gaming starts now, and starts with you. ready to top the XP leaderboard?
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on 8/3, we launched mainnet in singapore. today, we launch BSMNTᴮᴱᵀᴬ, a discovery platform that transforms how you play onchain. this is just the beginning, but the future of gaming starts now, and starts with you. ready to top the XP leaderboard?

B3

100,722 просмотров • 2 лет назад

Love and Deepspace | Rerun Event Preview The 5-Star Rate UP Pool [Dawn's Embrace] Limited-Time Rerun will start soon! "Even if there's no one here... If you try anything, I'll scream." 💫Event Duration: From 05:00 on Jun. 25 to 04:59 on Jul. 2 (Server Time) 💫About the 5-Star Rate UP Pool [Dawn's Embrace] Limited-Time Rerun Rules, please check: 🎁New Packs During the event, the Rerun event-exclusive [Summit Warmth Pack] series, which includes [Time Wish: Limited] and other materials, will be available in Shop. Notes: 1. [Time Wish: Limited] can be used in 5-Star Memory Wish Pool Rerun and will be used first when you make a wish. 2. After the event ends, [Time Wish: Limited] will automatically convert to Empyrean Wish. ——— Love and Deepspace Version 6.0 "A Shattered Quiet" launches on Jul. 9! 🪐Join the official Discord discussion for the new update: 🪐Download and Log in Now: #LoveandDeepspace #Rafayel
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Love and Deepspace | Rerun Event Preview The 5-Star Rate UP Pool [Dawn's Embrace] Limited-Time Rerun will start soon! "Even if there's no one here... If you try anything, I'll scream." 💫Event Duration: From 05:00 on Jun. 25 to 04:59 on Jul. 2 (Server Time) 💫About the 5-Star Rate UP Pool [Dawn's Embrace] Limited-Time Rerun Rules, please check: 🎁New Packs During the event, the Rerun event-exclusive [Summit Warmth Pack] series, which includes [Time Wish: Limited] and other materials, will be available in Shop. Notes: 1. [Time Wish: Limited] can be used in 5-Star Memory Wish Pool Rerun and will be used first when you make a wish. 2. After the event ends, [Time Wish: Limited] will automatically convert to Empyrean Wish. ——— Love and Deepspace Version 6.0 "A Shattered Quiet" launches on Jul. 9! 🪐Join the official Discord discussion for the new update: 🪐Download and Log in Now: #LoveandDeepspace #Rafayel

Love and Deepspace

385,451 просмотров • 3 месяцев назад

Microsoft has launched a powerful new data analysis tool! Introducing Data Formulator, a 100% open-source LLM-powered, no-code tool that transforms data in a snap and creates stunning visualizations. Key features include: 🤖 AI-powered data transformation 🖱️ Interactive drag-and-drop UI for visualizations 💬 Seamless blend of UI & natural language inputs But that’s not all: You can even create charts beyond your initial dataset. Data Formulator automatically identifies extra computation needs, generates fields for you, and outputs the final visualization. Find the GitHub repo in the next tweet! _____ Find me → Akshay 🚀 ✔️ For more insights and tutorials on AI and Machine Learning.
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Microsoft has launched a powerful new data analysis tool! Introducing Data Formulator, a 100% open-source LLM-powered, no-code tool that transforms data in a snap and creates stunning visualizations. Key features include: 🤖 AI-powered data transformation 🖱️ Interactive drag-and-drop UI for visualizations 💬 Seamless blend of UI & natural language inputs But that’s not all: You can even create charts beyond your initial dataset. Data Formulator automatically identifies extra computation needs, generates fields for you, and outputs the final visualization. Find the GitHub repo in the next tweet! _____ Find me → Akshay 🚀 ✔️ For more insights and tutorials on AI and Machine Learning.

Akshay 🚀

280,679 просмотров • 1 год назад

We have HOT3D! I've started using Claude to port more datasets into Rerun and exoego-forge. I'd been meaning to bring in the HOT3D dataset from Meta for a while, but with Claude, it's way easier. My goal is to take any egocentric, exocentric, or both datasets and ingest them into a standardized schema. Getting everything into Rerun means we can easily query and transform data via the in-memory OSS server. This lets us generate SQL-like queries such as: "Find me all frames that only contain left hands in the leftmost camera view." Most people think of Rerun as a viewer, but this is the actual superpower. So far we have: 1. HOT3D 2. Hocap 3. UmeTrack 4. Assembly101 5. EgoDex Planning to add more, and with every addition, it gets easier as we build up agent skills and better code examples. Hoping to make it almost fully automatic for adding new datasets. The next few I'm looking at are Harmony4D and Aria Pilot Gen2 After we have enough samples, I'll work on bringing in all the different algorithms I've worked on to transform the data 🙂
0:29

We have HOT3D! I've started using Claude to port more datasets into Rerun and exoego-forge. I'd been meaning to bring in the HOT3D dataset from Meta for a while, but with Claude, it's way easier. My goal is to take any egocentric, exocentric, or both datasets and ingest them into a standardized schema. Getting everything into Rerun means we can easily query and transform data via the in-memory OSS server. This lets us generate SQL-like queries such as: "Find me all frames that only contain left hands in the leftmost camera view." Most people think of Rerun as a viewer, but this is the actual superpower. So far we have: 1. HOT3D 2. Hocap 3. UmeTrack 4. Assembly101 5. EgoDex Planning to add more, and with every addition, it gets easier as we build up agent skills and better code examples. Hoping to make it almost fully automatic for adding new datasets. The next few I'm looking at are Harmony4D and Aria Pilot Gen2 After we have enough samples, I'll work on bringing in all the different algorithms I've worked on to transform the data 🙂

Pablo Vela

35,662 просмотров • 5 месяцев назад

Heres how to get started with the neatlogs MCP ! with this you can access your traces, detections, complete RCA and traige cards right inside Claude Code, Cursor, Windsurf, or whichever you like to build and you dont need to jump between your editor and a bunch of dashboards, you can just debug and fix your agents in one place. :)
1:33

Heres how to get started with the neatlogs MCP ! with this you can access your traces, detections, complete RCA and traige cards right inside Claude Code, Cursor, Windsurf, or whichever you like to build and you dont need to jump between your editor and a bunch of dashboards, you can just debug and fix your agents in one place. :)

simran sachdeva

24,742 просмотров • 3 месяцев назад

Love and Deepspace | 2024 Zayne's Birthday Event [Eternal Attachment] Memory & Outfit Rerun is Coming Soon! 🍰Event Duration: From 05:00 on Aug. 31 to 04:59 on Sept. 7 (Server Time) 🍰Destined Reunion: Zayne's Birthday Memory Rerun 1. During the event, make a wish with [Deepspace Wish] or [Time Wish: Limited], the drop rate of the Limited 5-Star Memory [Zayne: Eternal Attachment] will go up drastically. 2. After the event ends, this Limited 5-Star Memory will not be obtainable through other means and will not enter the permanent Wish Pool: Xspace Echo. 3. The wish event features a pity system, and the rule is shared among all Reruns. The wish attempts made in this rerun event will be counted in all Reruns. *You can read more about the event on the in-game rules page. 🎁New Packs During the event, the Rerun event-exclusive [Yearning Pack] series, which includes [Time Wish: Limited] and other materials, will be available in Shop at special prices. Tips: 1. [Time Wish: Limited] can be used in 5-Star Memory Wish Pool Rerun and will be used first when you make a wish. 2. After the event, [Time Wish: Limited] will automatically convert to Empyrean Wish. 🍰[Very Moment With U] Memory & Outfit Reward Rerun 2024 birthday-exclusive 3-Star Memory [Zayne: Shining Blessing] and Daily Outfit [Zayne: Autumn Breeze] will be available in Hope Shop. You can use the event item [Verglas Bead] to redeem rewards. ——— 🪐Official Discord: #LoveandDeepspace #Zayne #HBDZayne
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Love and Deepspace | 2024 Zayne's Birthday Event [Eternal Attachment] Memory & Outfit Rerun is Coming Soon! 🍰Event Duration: From 05:00 on Aug. 31 to 04:59 on Sept. 7 (Server Time) 🍰Destined Reunion: Zayne's Birthday Memory Rerun 1. During the event, make a wish with [Deepspace Wish] or [Time Wish: Limited], the drop rate of the Limited 5-Star Memory [Zayne: Eternal Attachment] will go up drastically. 2. After the event ends, this Limited 5-Star Memory will not be obtainable through other means and will not enter the permanent Wish Pool: Xspace Echo. 3. The wish event features a pity system, and the rule is shared among all Reruns. The wish attempts made in this rerun event will be counted in all Reruns. *You can read more about the event on the in-game rules page. 🎁New Packs During the event, the Rerun event-exclusive [Yearning Pack] series, which includes [Time Wish: Limited] and other materials, will be available in Shop at special prices. Tips: 1. [Time Wish: Limited] can be used in 5-Star Memory Wish Pool Rerun and will be used first when you make a wish. 2. After the event, [Time Wish: Limited] will automatically convert to Empyrean Wish. 🍰[Very Moment With U] Memory & Outfit Reward Rerun 2024 birthday-exclusive 3-Star Memory [Zayne: Shining Blessing] and Daily Outfit [Zayne: Autumn Breeze] will be available in Hope Shop. You can use the event item [Verglas Bead] to redeem rewards. ——— 🪐Official Discord: #LoveandDeepspace #Zayne #HBDZayne

Love and Deepspace

196,760 просмотров • 1 год назад

The 2-3 Zone That Forces Turnovers Most coaches think a 2-3 zone is passive — something you use to protect the paint. But what if your zone defense could attack instead of react? In this video, we’ll show you how Coach Mike Tartara’s Lockdown 2-3 Zone Defense transforms the traditional zone into a turnover-creating machine, using the same principles that Merrimack College used to become one of the best defensive programs in Division I basketball. The stats don’t lie: -Since going to the 2-3 zone 5 years ago, Coach Tartara’s program has consistently set school records for steals. -Merrimack annually ranks as one of the top turnover-forcing teams in Men’s D1 college basketball. Coach Tartara’s Cuyahoga Heights teams averaged 250+ steals per season after switching to this system — proof that you can win more games while playing zone defense that pressures opponents instead of sitting back. Then, watch Merrimack College execute the same rotations at the D1 level — showing how these high school principles produce elite-level results.
9:11

The 2-3 Zone That Forces Turnovers Most coaches think a 2-3 zone is passive — something you use to protect the paint. But what if your zone defense could attack instead of react? In this video, we’ll show you how Coach Mike Tartara’s Lockdown 2-3 Zone Defense transforms the traditional zone into a turnover-creating machine, using the same principles that Merrimack College used to become one of the best defensive programs in Division I basketball. The stats don’t lie: -Since going to the 2-3 zone 5 years ago, Coach Tartara’s program has consistently set school records for steals. -Merrimack annually ranks as one of the top turnover-forcing teams in Men’s D1 college basketball. Coach Tartara’s Cuyahoga Heights teams averaged 250+ steals per season after switching to this system — proof that you can win more games while playing zone defense that pressures opponents instead of sitting back. Then, watch Merrimack College execute the same rotations at the D1 level — showing how these high school principles produce elite-level results.

Joe Haefner | Breakthrough Basketball

27,327 просмотров • 9 месяцев назад

Love and Deepspace | 2024 Xavier's Birthday Event [Celestial Message] Memory & Outfit Rerun is Coming Soon! 🍰Event Duration: From 05:00 on Oct. 11 to 04:59 on Oct. 18 (server time) 🍰Galaxy Dance: Xavier's Birthday Memory Rerun 1. During the event, make a wish with [Deepspace Wish] or [Time Wish: Limited], the drop rate of the Limited 5-Star Memory [Xavier: Celestial Message] will go up drastically. 2. After the event ends, this Limited 5-Star Memory will not be obtainable through other means and will not enter the permanent Wish Pool: Xspace Echo. 3. The wish event features a pity system, and the rule is shared among all Reruns. The wish attempts made in this rerun event will be counted in all Reruns. *You can read more about the event on the in-game rules page. 🎁New Packs During the event, the Rerun event-exclusive [Mornwish Pack] series, which includes [Time Wish: Limited] and other materials, will be available in Shop at special prices. Tips: 1. [Time Wish: Limited] can be used in 5-Star Memory Wish Pool Rerun and will be used first when you make a wish. 2. After the event, [Time Wish: Limited] will automatically convert to Empyrean Wish. 🍰[Timeless Days] Memory & Outfit Reward Rerun 2024 birthday-exclusive 3-Star Memory [Xavier: Unfading Wish] and Daily Outfit [Xavier: Starry Night Dance] will be available in Starry Shop. You can use the event item [Starward Reel] to redeem rewards. ——— 🪐Official Discord: #LoveandDeepspace #Xavier #HBDXavier
0:32

Love and Deepspace | 2024 Xavier's Birthday Event [Celestial Message] Memory & Outfit Rerun is Coming Soon! 🍰Event Duration: From 05:00 on Oct. 11 to 04:59 on Oct. 18 (server time) 🍰Galaxy Dance: Xavier's Birthday Memory Rerun 1. During the event, make a wish with [Deepspace Wish] or [Time Wish: Limited], the drop rate of the Limited 5-Star Memory [Xavier: Celestial Message] will go up drastically. 2. After the event ends, this Limited 5-Star Memory will not be obtainable through other means and will not enter the permanent Wish Pool: Xspace Echo. 3. The wish event features a pity system, and the rule is shared among all Reruns. The wish attempts made in this rerun event will be counted in all Reruns. *You can read more about the event on the in-game rules page. 🎁New Packs During the event, the Rerun event-exclusive [Mornwish Pack] series, which includes [Time Wish: Limited] and other materials, will be available in Shop at special prices. Tips: 1. [Time Wish: Limited] can be used in 5-Star Memory Wish Pool Rerun and will be used first when you make a wish. 2. After the event, [Time Wish: Limited] will automatically convert to Empyrean Wish. 🍰[Timeless Days] Memory & Outfit Reward Rerun 2024 birthday-exclusive 3-Star Memory [Xavier: Unfading Wish] and Daily Outfit [Xavier: Starry Night Dance] will be available in Starry Shop. You can use the event item [Starward Reel] to redeem rewards. ——— 🪐Official Discord: #LoveandDeepspace #Xavier #HBDXavier

Love and Deepspace

179,819 просмотров • 11 месяцев назад

0.32 has shipped, and it's a massive release from Rerun. There's a ton of cool new features, and I wanted to highlight 2 in particular 1. OSS Server streaming from disk 2. Dataset review I walk you through them in the video, so take a look. I'll have a much longer blog post next week about the entire pipeline. With 0.32, much of the foundation is set for a unified data layer for physical data, and I'll be getting into the details of it with all that I've built over the past year. This will cover 1. Raw Data Collection 2. Data Ingestion 3. Catalog Registration 4. Query and Review 5. Post Process 6. Training so lots to share
1:54

0.32 has shipped, and it's a massive release from Rerun. There's a ton of cool new features, and I wanted to highlight 2 in particular 1. OSS Server streaming from disk 2. Dataset review I walk you through them in the video, so take a look. I'll have a much longer blog post next week about the entire pipeline. With 0.32, much of the foundation is set for a unified data layer for physical data, and I'll be getting into the details of it with all that I've built over the past year. This will cover 1. Raw Data Collection 2. Data Ingestion 3. Catalog Registration 4. Query and Review 5. Post Process 6. Training so lots to share

Pablo Vela

11,264 просмотров • 4 месяцев назад

Love and Deepspace | 2024 Rafayel's Birthday Event [Unforgettable Adventure] Memory & Outfit Rerun is Coming Soon! 🍰Event Duration: From 5:00 A.M. on Mar. 1 to 4:59 A.M. on Mar. 8 (Server Time) 🍰Special Embrace: Rafayel's Birthday Memory Rerun 1. During the event, make a wish with [Deepspace Wish] or [Time Wish: Limited], the drop rate of the Limited 5-Star Memory [Rafayel: Unforgettable Adventure] will go up drastically. 2. After the event ends, this Limited 5-Star Memory will not be obtainable through other means and will not enter the permanent Wish Pool: Xspace Echo. 3. The wish event features a pity system, and the rule is shared among all Reruns. The wish attempts made in this rerun event will be counted in all Reruns. *You can read more about the event on the in-game rules page. 🎁New Packs During the event, the Rerun event-exclusive [Fanciful Bliss Pack] series, which includes [Time Wish: Limited] and other materials, will be available in Shop at special prices. Tips: 1. [Time Wish: Limited] can be used in 5-Star Memory Wish Pool Rerun and will be used first when you make a wish. 2. After the event, [Time Wish: Limited] will automatically convert to Empyrean Wish. 🍰[Miracle Voyage] Memory & Outfit Reward Rerun 2024 birthday-exclusive 3-Star Memory [Rafayel: Wish Granted] and Daily Outfit [Iceberg Adventure] will be available in Bond Shop. You can use the event item [Pink Seashell] to redeem rewards. #LoveandDeepspace #Rafayel #HBDRafayel
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Love and Deepspace | 2024 Rafayel's Birthday Event [Unforgettable Adventure] Memory & Outfit Rerun is Coming Soon! 🍰Event Duration: From 5:00 A.M. on Mar. 1 to 4:59 A.M. on Mar. 8 (Server Time) 🍰Special Embrace: Rafayel's Birthday Memory Rerun 1. During the event, make a wish with [Deepspace Wish] or [Time Wish: Limited], the drop rate of the Limited 5-Star Memory [Rafayel: Unforgettable Adventure] will go up drastically. 2. After the event ends, this Limited 5-Star Memory will not be obtainable through other means and will not enter the permanent Wish Pool: Xspace Echo. 3. The wish event features a pity system, and the rule is shared among all Reruns. The wish attempts made in this rerun event will be counted in all Reruns. *You can read more about the event on the in-game rules page. 🎁New Packs During the event, the Rerun event-exclusive [Fanciful Bliss Pack] series, which includes [Time Wish: Limited] and other materials, will be available in Shop at special prices. Tips: 1. [Time Wish: Limited] can be used in 5-Star Memory Wish Pool Rerun and will be used first when you make a wish. 2. After the event, [Time Wish: Limited] will automatically convert to Empyrean Wish. 🍰[Miracle Voyage] Memory & Outfit Reward Rerun 2024 birthday-exclusive 3-Star Memory [Rafayel: Wish Granted] and Daily Outfit [Iceberg Adventure] will be available in Bond Shop. You can use the event item [Pink Seashell] to redeem rewards. #LoveandDeepspace #Rafayel #HBDRafayel

Love and Deepspace

862,076 просмотров • 1 год назад

How can you solve complex tasks using a Large Language Model? Here is a 2-minute introduction to everything you need to know to 10x the quality of your results. Let's talk about three techniques, in order of complexity, starting with the easiest one: • In-Context Learning • Indexing + In-Context Learning • Fine-tuning In-Context Learning The team that trained GPT-3 found something they couldn't explain: You can condition a model using examples of how you want it to behave. I included an example prompt in the attached video. You can "teach" the model how you want it to interpret questions, select the correct answers, and format the results by giving a few examples. You can also give specific knowledge to the model that will be helpful when formulating answers. We call this approach "grounding the model." There's another example in the video. Indexing + In-Context Learning Unfortunately, there is a limit to how much data you can include in a prompt. We call this the "context size." One version of GPT-4 supports a context of approximately 6,000 words, while the other supports 25,000 words. Although this sounds like a lot, many applications need more than that. Imagine you wrote a book and want to build an application to answer any questions about your story. What happens if your book is longer than the context? That's where Indexing comes in. Using a model, you can turn every book passage into an embedding. These are vectors, numbers that "encode" the passage's text. You can then store these embeddings in a particular database that supports fast retrieval of these vectors. You can then turn any question into an embedding and search the database for the list of passages that are similar to that query. Instead of using the entire book to ask the model, you can now use the relevant passages as in-context information, effectively working around the context size limitation. Fine-tuning Fine-tuning can give you an extra boost to get reliable outputs from your LLM. It is, however, the most complex approach on the list. There are different approaches to fine-tuning a model with your data. A popular technique is to process your data with your LLM and use the outputs to train a new classifier that solves your specific task. Notice that here you aren't modifying the LLM. Instead, you are chaining it with your trained classifier. Another approach is to modify the parameters of the LLM using your data. Think of this as "rewiring" the model in a way that solves your particular task. The results and costs will vary depending on how many layers you want to fine-tune from the original model. Many companies think that fine-tuning is the solution to their problems. In my experience, many will benefit from exploring the other two approaches. I love explaining Machine Learning and Artificial Intelligence ideas. If you enjoy in-depth content like this, follow me Santiago so you don't miss what comes next.
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How can you solve complex tasks using a Large Language Model? Here is a 2-minute introduction to everything you need to know to 10x the quality of your results. Let's talk about three techniques, in order of complexity, starting with the easiest one: • In-Context Learning • Indexing + In-Context Learning • Fine-tuning In-Context Learning The team that trained GPT-3 found something they couldn't explain: You can condition a model using examples of how you want it to behave. I included an example prompt in the attached video. You can "teach" the model how you want it to interpret questions, select the correct answers, and format the results by giving a few examples. You can also give specific knowledge to the model that will be helpful when formulating answers. We call this approach "grounding the model." There's another example in the video. Indexing + In-Context Learning Unfortunately, there is a limit to how much data you can include in a prompt. We call this the "context size." One version of GPT-4 supports a context of approximately 6,000 words, while the other supports 25,000 words. Although this sounds like a lot, many applications need more than that. Imagine you wrote a book and want to build an application to answer any questions about your story. What happens if your book is longer than the context? That's where Indexing comes in. Using a model, you can turn every book passage into an embedding. These are vectors, numbers that "encode" the passage's text. You can then store these embeddings in a particular database that supports fast retrieval of these vectors. You can then turn any question into an embedding and search the database for the list of passages that are similar to that query. Instead of using the entire book to ask the model, you can now use the relevant passages as in-context information, effectively working around the context size limitation. Fine-tuning Fine-tuning can give you an extra boost to get reliable outputs from your LLM. It is, however, the most complex approach on the list. There are different approaches to fine-tuning a model with your data. A popular technique is to process your data with your LLM and use the outputs to train a new classifier that solves your specific task. Notice that here you aren't modifying the LLM. Instead, you are chaining it with your trained classifier. Another approach is to modify the parameters of the LLM using your data. Think of this as "rewiring" the model in a way that solves your particular task. The results and costs will vary depending on how many layers you want to fine-tune from the original model. Many companies think that fine-tuning is the solution to their problems. In my experience, many will benefit from exploring the other two approaches. I love explaining Machine Learning and Artificial Intelligence ideas. If you enjoy in-depth content like this, follow me Santiago so you don't miss what comes next.

Santiago

384,510 просмотров • 3 лет назад

Robots are gaining spatial awareness with Over the Reality. 🤖 Powered by the world’s largest 3D dataset, we enable robots to see, sense, and collaborate in real-world environments. This early test shows how a Unitree Go2 perceives its surroundings through OVER’s VPS — on the right, the real life robot; on the left, its real-time perception of the position inside one of OVER’s 3D maps. Robotic spatial awareness is here, living in 155,000+ mapped locations and expanding every day. One step closer to Physical AI. Stay tuned for our upcoming ROS 2 integration, unlocking a universal framework for robotic perception leveraging OVER's infrastructure!
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Robots are gaining spatial awareness with Over the Reality. 🤖 Powered by the world’s largest 3D dataset, we enable robots to see, sense, and collaborate in real-world environments. This early test shows how a Unitree Go2 perceives its surroundings through OVER’s VPS — on the right, the real life robot; on the left, its real-time perception of the position inside one of OVER’s 3D maps. Robotic spatial awareness is here, living in 155,000+ mapped locations and expanding every day. One step closer to Physical AI. Stay tuned for our upcoming ROS 2 integration, unlocking a universal framework for robotic perception leveraging OVER's infrastructure!

Over the Reality 🌐

263,848 просмотров • 11 месяцев назад