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We recently shipped a Data Exploration Agent in the Hugging Face Dataset Viewer 💽 • powered by OpenAI gpt-oss-120b 🤖 • served by GroqInc for super fast inference ⚡ • multi-turn SQL on datasets in the browser 💻

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Caleb

4,008 subscribers

13,689 Aufrufe • vor 7 Monaten •via X (Twitter)

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Profilbild von Tazwar Ahnaf Enan
Tazwar Ahnaf Enanvor 5 Monaten

@huggingface @OpenAI @GroqInc This is awesomeeee! I just used Groq + LLaMA 3.3 to build a financial 'regret' simulator. Would love your thoughts on the UI.......

Profilbild von thejoey.888
thejoey.888vor 6 Monaten

@huggingface @OpenAI @GroqInc @GroqInc when will we be able to submit LORA weights for the GPT-oss series models on your Groq infra?

Profilbild von SynthesisLedger
SynthesisLedgervor 7 Monaten

@huggingface @OpenAI @GroqInc browser sql agents in datasets? groq crushes latency so multi-turn feels native. opens real-time exploration without devops tax, though session drift kills long chains without persistent traces. huge for non-eng teams 🇳🇴

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🤯🤯 That's insane! Hugging Face just shipped Data Studio on dataset pages... Ask a question about any dataset, the agent writes and runs a SQL query... then share the result or download as CSV... check it out! 👀 ⤵️ Wow GG Caleb 👏
0:25

🤯🤯 That's insane! Hugging Face just shipped Data Studio on dataset pages... Ask a question about any dataset, the agent writes and runs a SQL query... then share the result or download as CSV... check it out! 👀 ⤵️ Wow GG Caleb 👏

Jeff Boudier 🤗

19,703 Aufrufe • vor 1 Jahr

PSA: OpenAI is putting the Open back in OpenAI and Groq Inc has Day 0 support. 🤗 GPT-OSS 20B and 120B, hybrid-reasoning models with built-in browser search and code execution are now live for instant inference. P.S. We've also launched OpenAI Responses API compatibility.
0:29

PSA: OpenAI is putting the Open back in OpenAI and Groq Inc has Day 0 support. 🤗 GPT-OSS 20B and 120B, hybrid-reasoning models with built-in browser search and code execution are now live for instant inference. P.S. We've also launched OpenAI Responses API compatibility.

Hatice Ozen

82,049 Aufrufe • vor 1 Jahr

A voice agent powered by gpt-oss. Running locally on my macBook. Demo recorded in a Waymo with WiFi turned off. I'm still on my space game voice AI kick, obviously. Code link below. For conversational voice AI, you want to set the gpt-oss reasoning behavior to "low". (The default is "medium".) Notes on how to do that and a jinja template you can use are in the repo. The LLM in the demo video is the big, 120B version of gpt-oss. You can use the smaller, 20B model for this, of course. But OpenAI really did a cool thing here designing the 120B model to run in "just" 80GB of VRAM. And the llama.cpp mlx inference is fast: ~250ms TTFT. Running a big model on-device feels like a time warp into the future of AI.
4:35

A voice agent powered by gpt-oss. Running locally on my macBook. Demo recorded in a Waymo with WiFi turned off. I'm still on my space game voice AI kick, obviously. Code link below. For conversational voice AI, you want to set the gpt-oss reasoning behavior to "low". (The default is "medium".) Notes on how to do that and a jinja template you can use are in the repo. The LLM in the demo video is the big, 120B version of gpt-oss. You can use the smaller, 20B model for this, of course. But OpenAI really did a cool thing here designing the 120B model to run in "just" 80GB of VRAM. And the llama.cpp mlx inference is fast: ~250ms TTFT. Running a big model on-device feels like a time warp into the future of AI.

kwindla

202,211 Aufrufe • vor 1 Jahr

So how good is gpt-oss at function calling for real use cases and how to implement it correctly on Groq? Meet Autosheet: a GroqLabs project to showcase gpt-oss models running on GroqInc! It's a browser spreadsheet driven by AI with built-in MCP server support. A video & 🧵
5:58

So how good is gpt-oss at function calling for real use cases and how to implement it correctly on Groq? Meet Autosheet: a GroqLabs project to showcase gpt-oss models running on GroqInc! It's a browser spreadsheet driven by AI with built-in MCP server support. A video & 🧵

Rick Lamers

26,740 Aufrufe • vor 1 Jahr

BOOOOM! You can now run OpenAI gpt-oss 20B natively in Colaboratory T4 for FREE! 🔥 Powered by Transformers ⚡ The setup takes a bit since everything is bleeding edge, but once done it should work as expected Link to our cookbook in comments 👇
1:15

BOOOOM! You can now run OpenAI gpt-oss 20B natively in Colaboratory T4 for FREE! 🔥 Powered by Transformers ⚡ The setup takes a bit since everything is bleeding edge, but once done it should work as expected Link to our cookbook in comments 👇

Vaibhav (VB) Srivastav

37,474 Aufrufe • vor 1 Jahr

Interested in seeing how AI at Meta LLama 3.1 70B powered by Groq compares to OpenAI GPT-4o and GPT-4o Mini? We were too, so we decided to have them face off in the StreetFighter LLM Colosseum by Stan Girard and the team at Phospho.
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Interested in seeing how AI at Meta LLama 3.1 70B powered by Groq compares to OpenAI GPT-4o and GPT-4o Mini? We were too, so we decided to have them face off in the StreetFighter LLM Colosseum by Stan Girard and the team at Phospho.

Groq

179,969 Aufrufe • vor 2 Jahren

ClawRouter for OpenClaw🦞 reach 2000 stars🌟 within 7d launch. We shipped 5 fixes in the last 24 hrs: • New /v1/responses endpoint for Grok • Fixed nested output parsing • Real usage stats now visible on /stats • Free GPT 120B fallback AlwaysOn • Free GPT 120B with shortcut /model free All live on BlockRunAI. Shipping at inference-speed Peter Steinberger 🦞
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ClawRouter for OpenClaw🦞 reach 2000 stars🌟 within 7d launch. We shipped 5 fixes in the last 24 hrs: • New /v1/responses endpoint for Grok • Fixed nested output parsing • Real usage stats now visible on /stats • Free GPT 120B fallback AlwaysOn • Free GPT 120B with shortcut /model free All live on BlockRunAI. Shipping at inference-speed Peter Steinberger 🦞

Vicky

72,016 Aufrufe • vor 7 Monaten

In Oct. 2025, I created a browser agent extension for Chrome. Here it is beating the crap out of OpenAI Atlas by cheating. It is now OSS. Go forth, and fork/remix/make it your own.
1:50

In Oct. 2025, I created a browser agent extension for Chrome. Here it is beating the crap out of OpenAI Atlas by cheating. It is now OSS. Go forth, and fork/remix/make it your own.

Mario Zechner

24,149 Aufrufe • vor 6 Monaten

We shipped an OSS 'vibe coding platform' (like v0) built with Vercel AI SDK, Gateway and Sandbox. We worked with @openai to tune the GPT-5 agent loop. It can write/read files, run commands, install packages, autofix errors… Demo oneshotting a multiplayer Pong in Go ↓
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We shipped an OSS 'vibe coding platform' (like v0) built with Vercel AI SDK, Gateway and Sandbox. We worked with @openai to tune the GPT-5 agent loop. It can write/read files, run commands, install packages, autofix errors… Demo oneshotting a multiplayer Pong in Go ↓

Guillermo Rauch

794,422 Aufrufe • vor 1 Jahr

We’re excited to partner with OpenAI to launch their new open source models natively on Databricks! gpt-oss sets a new standard of quality for open language models, supporting advanced reasoning with the transparency, flexibility and control enterprises need. Running on Databricks, the gpt-oss models connect securely to your data and scale with built-in governance, and expand what you can build and do with GenAI. Try both the 20B and 120B today in the Mosaic AI Playground.
0:39

We’re excited to partner with OpenAI to launch their new open source models natively on Databricks! gpt-oss sets a new standard of quality for open language models, supporting advanced reasoning with the transparency, flexibility and control enterprises need. Running on Databricks, the gpt-oss models connect securely to your data and scale with built-in governance, and expand what you can build and do with GenAI. Try both the 20B and 120B today in the Mosaic AI Playground.

Databricks

10,138 Aufrufe • vor 1 Jahr

I'm excited to announce the release of the Naijaweb 🇳🇬 dataset. Naijaweb is a 270,000 (230Million GPT2 tokens) document dataset of webpages which Nigerians have shown interest in, it was cleaned with the same techniques done on the Fineweb dataset by Hugging Face. A thread 🧵..
1:27

I'm excited to announce the release of the Naijaweb 🇳🇬 dataset. Naijaweb is a 270,000 (230Million GPT2 tokens) document dataset of webpages which Nigerians have shown interest in, it was cleaned with the same techniques done on the Fineweb dataset by Hugging Face. A thread 🧵..

Saheedniyi

188,341 Aufrufe • vor 1 Jahr

OpenAI has revealed that an autonomous agent powered by its technology went rogue during a test and hacked a prominent start-up by itself. The company behind ChatGPT said it was testing the capabilities of its advanced AI models in a controlled environment known as a sandbox, when the agent escaped containment and reached the internet. It then broke into Hugging Face, which detected and contained it. OpenAI called it "an unprecedented cyber incident".
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OpenAI has revealed that an autonomous agent powered by its technology went rogue during a test and hacked a prominent start-up by itself. The company behind ChatGPT said it was testing the capabilities of its advanced AI models in a controlled environment known as a sandbox, when the agent escaped containment and reached the internet. It then broke into Hugging Face, which detected and contained it. OpenAI called it "an unprecedented cyber incident".

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21,379 Aufrufe • vor 2 Monaten

Our OSS engineer Clelia Bertelli (🦀/acc) recently built 𝗹𝗶𝘁𝗲𝘀𝗲𝗮𝗿𝗰𝗵, a fully local document ingestion and retrieval CLI/TUI application powered by LiteParse ⚡ litesearch demonstrates how developers can assemble a high-performance, local-first retrieval pipeline using open tools from across the ecosystem: • Parsing: LiteParse, the fast and accurate document parser we recently open sourced • Chunking: @ChonkieAI • Embeddings: A local Nomic model via Hugging Face transformers.js • Vector storage: A local Qdrant edge shard (custom-built in Rust and compiled as a native add-on) • Retrieval: Query stored files with optional path-based filtering and configurable relevance thresholds • Runtime: Bun for speed and versatility 💻 Check out the repository and try it yourself: 📚 LiteParse docs:
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Our OSS engineer Clelia Bertelli (🦀/acc) recently built 𝗹𝗶𝘁𝗲𝘀𝗲𝗮𝗿𝗰𝗵, a fully local document ingestion and retrieval CLI/TUI application powered by LiteParse ⚡ litesearch demonstrates how developers can assemble a high-performance, local-first retrieval pipeline using open tools from across the ecosystem: • Parsing: LiteParse, the fast and accurate document parser we recently open sourced • Chunking: @ChonkieAI • Embeddings: A local Nomic model via Hugging Face transformers.js • Vector storage: A local Qdrant edge shard (custom-built in Rust and compiled as a native add-on) • Retrieval: Query stored files with optional path-based filtering and configurable relevance thresholds • Runtime: Bun for speed and versatility 💻 Check out the repository and try it yourself: 📚 LiteParse docs:

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Introducing: a coding agent (Pi) running entirely in your browser using a 2B model on WebGPU 🤯 MiniCPM5-2B + Pi, powered by Transformers.js + WebGPU + 4-bit ONNX weights. All previous attempt to create this failed but MiniCPM5 seems to make it usable. Available now on Hugging Face 👇

Victor M

88,861 Aufrufe • vor 9 Tagen

We heard you loud and clear. ChatGPT Voice can now: - Use plugins like your email, calendar, and Slack. - Be powered by GPT-6 Astra, Sol, and Luna. - Be used in ChatGPT Work on web and mobile, so you can create docs, decks, sites, and spreadsheets or tackle complex tasks in the browser, just by talking. Rolling out globally today in the latest version of the app.
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We heard you loud and clear. ChatGPT Voice can now: - Use plugins like your email, calendar, and Slack. - Be powered by GPT-6 Astra, Sol, and Luna. - Be used in ChatGPT Work on web and mobile, so you can create docs, decks, sites, and spreadsheets or tackle complex tasks in the browser, just by talking. Rolling out globally today in the latest version of the app.

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Tried generating images with LLMs before? You're usually stuck with one model, one style, one result at a time. ASI:One breaks that.⚡ Now you can call multiple image generation agents from the same prompt, in the same window. Pick the best. Compare styles. Iterate faster. All powered by agents on Agentverse. Agents used: Stability AI based model on Hugging Face: BlackForestLabsAI - Unofficial on Hugging Face: OpenAI Dall-E: Watch now👇

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Introducing ChatGPT Work, a new agent in ChatGPT powered by Codex and GPT-5.6. It can take action across your apps and files, stay with a project for hours if needed, and turn a goal into finished work. It’s a whole new way to get work done.

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Qwen-2.5 on WebGPU 🏎️ • 42 tok/sec for Qwen2.5-Coder-1.5B on Mac ⚡ • Powered by MLC WebLLM and WebGPU 🔥 Watch Qwen2.5-Coder-1.5B build a website entirely in the browser!

Caleb

41,579 Aufrufe • vor 2 Jahren

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 🙂
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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 Aufrufe • vor 5 Monaten