Загрузка видео...

Не удалось загрузить видео

На главную

Announcing Roboflow Rapid: the first prompt-based model creation engine. Data labeling is dead. Go from idea to deployed model in minutes without labeling data. Upload a video, type a text prompt, and get an API. No data labeling teams. No manual annotation. No infra / dependency hell. If you...

roboflow's profile picture

Roboflow

13,065 subscribers

22,881 просмотров • 5 месяцев назад •via X (Twitter)

ОбразованиеНаука и технологии
LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

manual data labeling is over
0:23

manual data labeling is over

SkalskiP

295,129 просмотров • 6 месяцев назад

insane level of manipulation from Google If you search for Pacific Palisades, they are using old map data and labeling it as 2026. If you go to the historical data, you can see the receipts
0:54

insane level of manipulation from Google If you search for Pacific Palisades, they are using old map data and labeling it as 2026. If you go to the historical data, you can see the receipts

Hunter Weiss

397,214 просмотров • 18 дней назад

data labeling is dead. long live distillation. from data to object detection endpoint in 90 seconds. link:
1:23

data labeling is dead. long live distillation. from data to object detection endpoint in 90 seconds. link:

SkalskiP

135,852 просмотров • 5 месяцев назад

Embed payouts on your platform for clipping, content creation, data-labeling, and more. Powered by Whop Payments Network.
0:24

Embed payouts on your platform for clipping, content creation, data-labeling, and more. Powered by Whop Payments Network.

Whop

32,851 просмотров • 1 месяц назад

Watch Trevor Xu speak on Tagger's upcoming update in BNB Chain AI Hack, weaving manual labeling and peer-driven data review into a more robust #DeCorp data pipeline, laying the groundwork for a smoother AI Copilot labeling experience. Be rewarded more in proportion to the manual groundwork you contribute, as this forms a robust base for our automated systems.
10:12

Watch Trevor Xu speak on Tagger's upcoming update in BNB Chain AI Hack, weaving manual labeling and peer-driven data review into a more robust #DeCorp data pipeline, laying the groundwork for a smoother AI Copilot labeling experience. Be rewarded more in proportion to the manual groundwork you contribute, as this forms a robust base for our automated systems.

Tagger

21,997 просмотров • 1 год назад

Most mapmaker hours are spent labeling; a good map has "no collisions, no elisions" The computer can roughly place your text, but following rivers and stretching type out from the coastline is all manual; hope you like dragging bezier handles in Illustrator
1:03

Most mapmaker hours are spent labeling; a good map has "no collisions, no elisions" The computer can roughly place your text, but following rivers and stretching type out from the coastline is all manual; hope you like dragging bezier handles in Illustrator

Evan Applegate

198,089 просмотров • 11 месяцев назад

The founder of a $4B inference company says that if you're building agents, foundational models could become your IP. According to Lin Qiao, 90% of the world's data is still private and locked inside applications and enterprises. Foundation models are trained on public internet + labeling company data, which is barely 10% of all the data. And this is why your application and foundation models are misaligned by definition. Companies building agents don't treat models as APIs. They opt for a product-model co-design. - Models continuously learn from your private data - Pick up domain-specific intelligence - Run faster - Cost less - Scale to millions of users
1:01

The founder of a $4B inference company says that if you're building agents, foundational models could become your IP. According to Lin Qiao, 90% of the world's data is still private and locked inside applications and enterprises. Foundation models are trained on public internet + labeling company data, which is barely 10% of all the data. And this is why your application and foundation models are misaligned by definition. Companies building agents don't treat models as APIs. They opt for a product-model co-design. - Models continuously learn from your private data - Pick up domain-specific intelligence - Run faster - Cost less - Scale to millions of users

Ivan Burazin

54,964 просмотров • 1 месяц назад

Wow AI is your one-stop shop for everything AI data training: 1️⃣ OTS Dataset 2️⃣ Custom Data Collection 3️⃣ Labeling 4️⃣ Crowdsourcing With Wow AI, you can be confident that your AI training data is of the highest quality, ethical, and compliant. Visit us 👉
1:00

Wow AI is your one-stop shop for everything AI data training: 1️⃣ OTS Dataset 2️⃣ Custom Data Collection 3️⃣ Labeling 4️⃣ Crowdsourcing With Wow AI, you can be confident that your AI training data is of the highest quality, ethical, and compliant. Visit us 👉

Wow AI

51,865 просмотров • 2 лет назад

CPAI Demo CPAI’s advanced AI labeling technology delivers unmatched accuracy and saves you money. What’s the game-changer? Automated data labeling - a process that traditionally requires costly manual labor. CPAI is: • Reducing human overhead • Improving efficiency • Eliminating errors • Lowering costs • Increasing data processing speeds Watch @DerekMoonTax demonstrate a head-to-head comparison, highlighting the key differences that sets CPAI tech against one of the leading products in the industry.
3:48

CPAI Demo CPAI’s advanced AI labeling technology delivers unmatched accuracy and saves you money. What’s the game-changer? Automated data labeling - a process that traditionally requires costly manual labor. CPAI is: • Reducing human overhead • Improving efficiency • Eliminating errors • Lowering costs • Increasing data processing speeds Watch @DerekMoonTax demonstrate a head-to-head comparison, highlighting the key differences that sets CPAI tech against one of the leading products in the industry.

CPAI

66,340 просмотров • 1 год назад

Use this FREE tool to analyze data in 10 sec. This tool is used by more than 500,000 researchers. 1. Go to 2. Click on Data Analysis and upload your data file. 3. Write your prompt for data analysis. 4. For example, generate graphs from data. 5. AnswerThis will generate variety of graphs 6. It also generates an insightful data analysis report. You can download the graphs and the report. Try AnswerThis today. It’s FREE.
0:32

Use this FREE tool to analyze data in 10 sec. This tool is used by more than 500,000 researchers. 1. Go to 2. Click on Data Analysis and upload your data file. 3. Write your prompt for data analysis. 4. For example, generate graphs from data. 5. AnswerThis will generate variety of graphs 6. It also generates an insightful data analysis report. You can download the graphs and the report. Try AnswerThis today. It’s FREE.

Faheem Ullah

26,405 просмотров • 4 месяцев назад

Introducing Kled Labeling, the next major update of the Kled app. For the first time, everyday people can earn real income from AI’s fastest growing sector: data labeling. Users now have the ability to label content in the most intuitive way possible from the hottest Silicon Valley startups, with millions of dollars allocated in rewards. So whether you're on your couch watching TV, at the dinner table, in bed, anywhere you can earn just with the tap of a button. We’re not hiring VAs. We’re not outsourcing overseas. We’re building a collective of users to outpace the billion dollar giants like Mercor, Scale AI, Surge, and more. This is the first public application that lets anyone earn by labeling data. Every American and global citizen will become the network.
0:36

Introducing Kled Labeling, the next major update of the Kled app. For the first time, everyday people can earn real income from AI’s fastest growing sector: data labeling. Users now have the ability to label content in the most intuitive way possible from the hottest Silicon Valley startups, with millions of dollars allocated in rewards. So whether you're on your couch watching TV, at the dinner table, in bed, anywhere you can earn just with the tap of a button. We’re not hiring VAs. We’re not outsourcing overseas. We’re building a collective of users to outpace the billion dollar giants like Mercor, Scale AI, Surge, and more. This is the first public application that lets anyone earn by labeling data. Every American and global citizen will become the network.

Kled AI

58,568 просмотров • 7 месяцев назад

Announcing Web Search for /extract 🔎 Augment your extract queries with data sourced from the internet. Just enter a prompt and get the data you need. Try it out today with 500K free tokens 🔥
0:40

Announcing Web Search for /extract 🔎 Augment your extract queries with data sourced from the internet. Just enter a prompt and get the data you need. Try it out today with 500K free tokens 🔥

Firecrawl

17,621 просмотров • 1 год назад

It is very easy to make mistakes when creating evals for your AI product. Shreya Shankar and I run through the most common mistakes in this talk (with memes 🌶️!) . Chapter summaries below: 00:51 Foundation model benchmarks are not the same as your application evals 03:00 Generic Evals Are Useless 04:00 Do not outsource labeling & prompting to non domain experts 09:28 You should make your own data annotation app 12:40 Your LLM prompts should be specific and grounded in error analysis 15:25 Use binary labels 18:57 Look at your data 23:41 Be careful of overfitting to test data 25:40 Do online tests Links more resources in the reply
28:15

It is very easy to make mistakes when creating evals for your AI product. Shreya Shankar and I run through the most common mistakes in this talk (with memes 🌶️!) . Chapter summaries below: 00:51 Foundation model benchmarks are not the same as your application evals 03:00 Generic Evals Are Useless 04:00 Do not outsource labeling & prompting to non domain experts 09:28 You should make your own data annotation app 12:40 Your LLM prompts should be specific and grounded in error analysis 15:25 Use binary labels 18:57 Look at your data 23:41 Be careful of overfitting to test data 25:40 Do online tests Links more resources in the reply

Hamel Husain

46,078 просмотров • 1 год назад

Labeling LiDAR data is extremely time-consuming and costly. You can’t imagine—a few meaningless dots there actually represent a car, and yet many people believe this is ideal for self-driving.
0:23

Labeling LiDAR data is extremely time-consuming and costly. You can’t imagine—a few meaningless dots there actually represent a car, and yet many people believe this is ideal for self-driving.

Raines

79,906 просмотров • 1 год назад

PhD Students – Use this FREE tool to analyze data in 10 sec. This tool is used by more than 500,000 researchers. 1. Go to 2. Click on Data Analysis and upload your data file. 3. Write your prompt for data analysis. 4. For example, generate graphs for data analysis. 5. AnswerThis will generate variety of graphs for you. 6. It also generates an insightful data analysis report. You can download the graphs and the report. Try AnswerThis today. It’s FREE. AnswerThis link:
0:29

PhD Students – Use this FREE tool to analyze data in 10 sec. This tool is used by more than 500,000 researchers. 1. Go to 2. Click on Data Analysis and upload your data file. 3. Write your prompt for data analysis. 4. For example, generate graphs for data analysis. 5. AnswerThis will generate variety of graphs for you. 6. It also generates an insightful data analysis report. You can download the graphs and the report. Try AnswerThis today. It’s FREE. AnswerThis link:

Faheem Ullah

205,179 просмотров • 2 месяцев назад

Data is the oil of modern biotech. New tools allow us to model living systems too complex for unaided human cognition. Latch is releasing a new capabilities in data curation + delivery: - 30M observational cell atlas across 150 diseases, 200 tissues, 27 technologies - a partnership with two expert labeling teams - an agentic, human-in-the-loop framework for mass scRNA-seq curation
1:25

Data is the oil of modern biotech. New tools allow us to model living systems too complex for unaided human cognition. Latch is releasing a new capabilities in data curation + delivery: - 30M observational cell atlas across 150 diseases, 200 tissues, 27 technologies - a partnership with two expert labeling teams - an agentic, human-in-the-loop framework for mass scRNA-seq curation

Kenny Workman

10,082 просмотров • 11 месяцев назад

Use this FREE tool to analyze data in 10 sec. This tool is used by more than 500,000 researchers. 1. Go to and log in 2. Click on Data Analysis and upload your data file. 3. Write your prompt for data analysis. 4. E.g., generate graphs for exploratory data analysis. 5. Liner will generate a variety of graphs for you. 6. It also generates an insightful data analysis report. ✦ You can edit the report. For example, you can: ✦ Insert citations in the report ✦ Make changes to the text ✦ Add/remove any graphs After making changes, you can download the report. Try Liner today. It’s FREE. Liner link:
0:53

Use this FREE tool to analyze data in 10 sec. This tool is used by more than 500,000 researchers. 1. Go to and log in 2. Click on Data Analysis and upload your data file. 3. Write your prompt for data analysis. 4. E.g., generate graphs for exploratory data analysis. 5. Liner will generate a variety of graphs for you. 6. It also generates an insightful data analysis report. ✦ You can edit the report. For example, you can: ✦ Insert citations in the report ✦ Make changes to the text ✦ Add/remove any graphs After making changes, you can download the report. Try Liner today. It’s FREE. Liner link:

Faheem Ullah

11,898 просмотров • 2 месяцев назад

The wait is over, introducing Kled the first app that lets you upload your personal data and get paid for it. Fully out of beta and available for everyone on the App Store today. Your data, your story.
2:32

The wait is over, introducing Kled the first app that lets you upload your personal data and get paid for it. Fully out of beta and available for everyone on the App Store today. Your data, your story.

Kled AI

627,629 просмотров • 5 месяцев назад

Q: "What do you make of the president labeling affordability as a Democratic hoax? Is that claim backed up by data?" Me: "No, it's a lie. It's patronizing and it's disgusting. This isn't how we should have economic discussions."
0:47

Q: "What do you make of the president labeling affordability as a Democratic hoax? Is that claim backed up by data?" Me: "No, it's a lie. It's patronizing and it's disgusting. This isn't how we should have economic discussions."

Justin Wolfers

23,292 просмотров • 5 месяцев назад

Announcing Agent Bricks: auto-optimize agents for your domain tasks. Provide a high-level description of the agent’s task, and connect your enterprise data — Agent Bricks handles the rest. Agent Bricks builds out an agent system that automatically optimizes against your goals and generates domain-specific synthetic datasets, accelerating agent development without relying on manual labeling or external sources.
0:24

Announcing Agent Bricks: auto-optimize agents for your domain tasks. Provide a high-level description of the agent’s task, and connect your enterprise data — Agent Bricks handles the rest. Agent Bricks builds out an agent system that automatically optimizes against your goals and generates domain-specific synthetic datasets, accelerating agent development without relying on manual labeling or external sources.

Databricks

47,044 просмотров • 11 месяцев назад