正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

Introducing FlexOlmo, a new paradigm for language model training that enables the co-development of AI through data collaboration. 🧵

Ai2

84,820 subscribers

370,042 次观看 • 1 年前 •via X (Twitter)

科学技术教育

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

Introducing The Largest Organized and Incentivized Human-Data Fleet for General-Purpose Humanoid-Robotics and large language model training Our users are creators that complete daily data quests with crypto incentives through our Mobile App 🧵

Introducing The Largest Organized and Incentivized Human-Data Fleet for General-Purpose Humanoid-Robotics and large language model training Our users are creators that complete daily data quests with crypto incentives through our Mobile App 🧵

Mecka

385,642 次观看 • 2 年前

Can data owners & LM developers collaborate to build a strong shared model while each retaining data control? Introducing FlexOlmo💪, a mixture-of-experts LM enabling: • Flexible training on your local data without sharing it • Flexible inference to opt in/out your data anytime At 37B parameters, FlexOlmo is competitive across 31 tasks.

Can data owners & LM developers collaborate to build a strong shared model while each retaining data control? Introducing FlexOlmo💪, a mixture-of-experts LM enabling: • Flexible training on your local data without sharing it • Flexible inference to opt in/out your data anytime At 37B parameters, FlexOlmo is competitive across 31 tasks.

Weijia Shi

95,514 次观看 • 1 年前

OpenAI Co-founder Andrej Karpathy explains the new computing paradigm: "We're entering a new computing paradigm with large language models acting like CPUs, using tokens instead of bytes, and having a context window instead of RAM. This is the Large Language Model OS (LMOS)"

OpenAI Co-founder Andrej Karpathy explains the new computing paradigm: "We're entering a new computing paradigm with large language models acting like CPUs, using tokens instead of bytes, and having a context window instead of RAM. This is the Large Language Model OS (LMOS)"

Haider.

552,355 次观看 • 2 年前

Introducing LDA, a latent world action foundation model that, for the first time, unifies the utilization of heterogeneous embodied data across simulation and reality, humans and robots, and varying levels of action quality and annotation. By breaking long-standing data silos in embodied intelligence, LDA enables the field, much like GPT did for language, to benefit continuously from scaling data, marking the transition into a new era of scalable learning. #Galbot #Robotics #Innovation #AI #Technology #Humanoid #WorldModel

Introducing LDA, a latent world action foundation model that, for the first time, unifies the utilization of heterogeneous embodied data across simulation and reality, humans and robots, and varying levels of action quality and annotation. By breaking long-standing data silos in embodied intelligence, LDA enables the field, much like GPT did for language, to benefit continuously from scaling data, marking the transition into a new era of scalable learning. #Galbot #Robotics #Innovation #AI #Technology #Humanoid #WorldModel

Galbot

38,131 次观看 • 2 个月前

Introducing 𝐃𝐫𝐞𝐚𝐦𝐆𝐞𝐧! We got humanoid robots to perform totally new 𝑣𝑒𝑟𝑏𝑠 in new environments through video world models. We believe video world models will solve the data problem in robotics. Bringing the paradigm of scaling human hours to GPU hours. Quick 🧵

Introducing 𝐃𝐫𝐞𝐚𝐦𝐆𝐞𝐧! We got humanoid robots to perform totally new 𝑣𝑒𝑟𝑏𝑠 in new environments through video world models. We believe video world models will solve the data problem in robotics. Bringing the paradigm of scaling human hours to GPU hours. Quick 🧵

Joel Jang

117,493 次观看 • 1 年前

KULR has entered a joint development collaboration co-develop a next generation $KULR ONE MAX Battery Backup Unit for AI scale data centers Learn more here:

KULR has entered a joint development collaboration co-develop a next generation $KULR ONE MAX Battery Backup Unit for AI scale data centers Learn more here:

KULR Technology

19,157 次观看 • 7 个月前

Today, Generative AI takes its next big step forward. Introducing Gen-1: a new AI model that uses language and images to generate new videos out of existing ones. Sign up for early research access:

Today, Generative AI takes its next big step forward. Introducing Gen-1: a new AI model that uses language and images to generate new videos out of existing ones. Sign up for early research access:

Runway

2,480,485 次观看 • 3 年前

Satya Nadella says the convergence of quantum computing and AI will unlock the language of nature Because nature is inherently quantum, quantum computers are the ultimate tool to generate training data for AI models "this enables predictive simulations, like testing cancer immunotherapies"

Satya Nadella says the convergence of quantum computing and AI will unlock the language of nature Because nature is inherently quantum, quantum computers are the ultimate tool to generate training data for AI models "this enables predictive simulations, like testing cancer immunotherapies"

Haider.

17,148 次观看 • 4 个月前

$Introducing HRM-Text. An ultra-lean 1B-parameter reasoning language model designed to deliver strong general performance with a fraction of the data, compute, and infrastructure. Trained on just 40B structured tokens, HRM-Text achieves competitive performance while using ~1/1000 of the training data of comparable models. The kicker? The full model trains in roughly one day on a $1,000 budget. This opens the door to a new generation of AI that is powerful, accessible, and radically easier to adapt. Theories and research concepts once deemed too expensive to test are officially back in the game. Sapient Intelligence invites you to help us shape a new paradigm for general intelligence.$

Introducing HRM-Text. An ultra-lean 1B-parameter reasoning language model designed to deliver strong general performance with a fraction of the data, compute, and infrastructure. Trained on just 40B structured tokens, HRM-Text achieves competitive performance while using ~1/1000 of the training data of comparable models. The kicker? The full model trains in roughly one day on a $1,000 budget. This opens the door to a new generation of AI that is powerful, accessible, and radically easier to adapt. Theories and research concepts once deemed too expensive to test are officially back in the game. Sapient Intelligence invites you to help us shape a new paradigm for general intelligence.

Sapient Intelligence

512,741 次观看 • 2 个月前

Sam Altman says AI reasoning is still at the GPT-2 stage but the improvement curve is steep and the new o1 model represents a new paradigm of AI development which will enable rapid progress in capabilities

Sam Altman says AI reasoning is still at the GPT-2 stage but the improvement curve is steep and the new o1 model represents a new paradigm of AI development which will enable rapid progress in capabilities

Tsarathustra

419,003 次观看 • 1 年前

A reward model that works, zero-shot, across robots, tasks, and scenes? Introducing Robometer: Scaling general-purpose robotic reward models with 1M+ trajectories. Enables zero-shot: online/offline/model-based RL, data retrieval + IL, automatic failure detection, and more! 🧵 (1/12)

A reward model that works, zero-shot, across robots, tasks, and scenes? Introducing Robometer: Scaling general-purpose robotic reward models with 1M+ trajectories. Enables zero-shot: online/offline/model-based RL, data retrieval + IL, automatic failure detection, and more! 🧵 (1/12)

Jesse Zhang @ RSS 2026 ✈️

101,490 次观看 • 4 个月前

Introducing a small portion of proprietary phenomics data from Recursion into the training of MolGPS, our foundation model for molecular property prediction, led to massive performance increases on new & existing benchmarks. Learn more about the impact of data & scale.

Introducing a small portion of proprietary phenomics data from Recursion into the training of MolGPS, our foundation model for molecular property prediction, led to massive performance increases on new & existing benchmarks. Learn more about the impact of data & scale.

Valence Labs

10,091 次观看 • 1 年前

Goal-conditioned RL (GCRL) is great - unsupervised, can use data (in offline mode), flexibility to define tasks at test time. But can we run GCRL on *language data*?? In our new work we show that language GCRL enables sophisticated test-time reasoning for interactive tasks! 🧵👇

Goal-conditioned RL (GCRL) is great - unsupervised, can use data (in offline mode), flexibility to define tasks at test time. But can we run GCRL on language data?? In our new work we show that language GCRL enables sophisticated test-time reasoning for interactive tasks! 🧵👇

Sergey Levine

18,782 次观看 • 1 年前

Edge Computing 🤝 Federated Learning The next AI breakthrough lies in unlocking private data. By expanding training from public to private data, FLock enables AI models to specialise, delivering deeper insights and continuous innovation. Introducing the FLock FL Alliance.

Edge Computing 🤝 Federated Learning The next AI breakthrough lies in unlocking private data. By expanding training from public to private data, FLock enables AI models to specialise, delivering deeper insights and continuous innovation. Introducing the FLock FL Alliance.

FLock.io

102,558 次观看 • 1 年前

Introducing Paradigm – a reimagined workspace with AI at its core. Centered around the primitive of a spreadsheet, Paradigm puts swarms of intelligent agents at your fingertips. The real power of Paradigm comes with scale: imagine having tens of thousands of interns working for you in parallel. Paradigm is 1000x faster than manual data collection, completing an average of 500 cells per minute. Check out Paradigm in action below.

Introducing Paradigm – a reimagined workspace with AI at its core. Centered around the primitive of a spreadsheet, Paradigm puts swarms of intelligent agents at your fingertips. The real power of Paradigm comes with scale: imagine having tens of thousands of interns working for you in parallel. Paradigm is 1000x faster than manual data collection, completing an average of 500 cells per minute. Check out Paradigm in action below.

Anna Monaco

589,409 次观看 • 1 年前