thejash

9 ms·

31.
by thejash 2y ago
In the span of a few months, with a small team of researchers and engineers, we trained a 70B parameter model from scratch on our own infrastructure that outperformed zero-shot GPT-4o on reasoning-related tasks. Using our cluster for high p
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Scaling Laws for Every Hyperparameter via Cost-Aware HPO(generallyintelligent.com)
3 points by thejash 3y ago|0 comments
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Jim Fan, Nvidia: On foundation models for embodied agents and scaling data(generallyintelligent.com)
2 points by thejash 4y ago|1 comments
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Noam Brown, FAIR: On achieving human-level performance in Diplomacy, and more(generallyintelligent.com)
1 points by thejash 4y ago|1 comments
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by thejash 4y ago
Here is a podcast episode with Noam Brown from Meta AI where we discuss his work on achieving human-level performance on poker and Diplomacy, as well as the power of spending compute at inference time!
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Nicklas Hansen, UCSD: On long-horizon planning and much more(generallyintelligent.com)
1 points by thejash 4y ago|1 comments
37.
by thejash 4y ago
Listen to the podcast episode with Nicklas Hansen from UC San Diego where we discuss adapting reinforcement learning policies during deployment, why algorithms don't drive research progress, and much more!
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Jack Parker-Holder, DeepMind: On open-endedness, offline learning, and much more(generallyintelligent.com)
1 points by thejash 4y ago|1 comments
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by thejash 4y ago
Here is a podcast episode with Jack Parker-Holder from DeepMind where we discuss open-endedness, evolving agents and environments, offline learning with world models, and much more!
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Chelsea Finn, Stanford: On the biggest bottlenecks in robotics and RL(generallyintelligent.com)
1 points by thejash 4y ago|1 comments
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by thejash 4y ago
Here is a podcast episode with Chelsea Finn where we discuss the biggest bottlenecks in RL and robotics such as Sim2Real transferability, distribution shifts, and much more!
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Hattie Zhou, Mila, on supermasks, iterative learning, and fortuitous forgetting(generallyintelligent.ai)
3 points by thejash 4y ago|1 comments
43.
by thejash 4y ago
Here is a podcast episode with Hattie Zhou where we discuss iterative learning, The Lottery Ticket Hypothesis, their paper on fortuitous forgetting, and much more!
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Generative AI startups we want to fund(outsetcapital.com)
1 points by thejash 4y ago|0 comments
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by thejash 4y ago
Here is a podcast episode with Minqi Jiang where we discuss RL environment and curriculum design, open-endedness, emergent communication, and much more!
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Minqi Jiang, UCL, on environment and curriculum design for general RL agents(generallyintelligent.ai)
2 points by thejash 4y ago|1 comments
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Oleh Rybkin, UPenn, on exploration and planning with world models(generallyintelligent.ai)
1 points by thejash 4y ago|0 comments
48.
by thejash 4y ago
Generally Intelligent | Machine Learning Research Engineer | REMOTE or San Francisco | Full-time | https://generallyintelligent.ai We’re an AI research company directly building human-like general machine intelligence. We have si
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VICReg: Tutorial and Lightweight PyTorch Implementation blog post(generallyintelligent.ai)
1 points by thejash 4y ago|0 comments
50.
Generally Intelligent (YC S17) is hiring machine learning research engineers
1 points by thejash 4y ago
51.
by thejash 5y ago
Generally Intelligent | Machine Learning Research Engineer | REMOTE or San Francisco | Full-time | https://generallyintelligent.ai We’re an AI research company directly building human-like general machine intelligence. We have si
52.
by thejash 5y ago
Generally Intelligent | Machine Learning Research Engineer | REMOTE or San Francisco | Full-time | https://generallyintelligent.ai We’re an AI research company directly building human-like general machine intelligence. We have s
53.
by thejash 5y ago
Generally Intelligent | Machine Learning Research Engineer | REMOTE or San Francisco | Full-time | https://generallyintelligent.ai We’re an AI research company directly building human-like general machine intelligence. We have s
54.
by thejash 5y ago
Generally Intelligent | Machine Learning Research Engineer | REMOTE or San Francisco | Full-time | https://generallyintelligent.ai We’re an AI research company directly building human-like general machine intelligence. We have s
55.
by thejash 5y ago
Generally Intelligent | Machine Learning Research Engineer | REMOTE or San Francisco | Full-time | https://generallyintelligent.ai We’re an AI research company directly building human-like general machine intelligence. We have s
56.
by thejash 5y ago
Generally Intelligent | Machine Learning Research Engineer | REMOTE or San Francisco | Full-time | https://generallyintelligent.ai We’re an AI research company directly building human-like general machine intelligence. We have s
57.
by thejash 5y ago
Generally Intelligent | ML Research Engineer | San Francisco | Full-time | Local or Remote tldr; get into deep learning research engineering, no prior machine learning experience required We’re looking for someone who is excited about the c
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by thejash 5y ago
Generally Intelligent | Deep Learning Engineer | San Francisco | Full-time | Local or Remote tldr; get into deep learning research engineering, no prior machine learning experience required We’re looking for someone who is excited about the
59.
by thejash 6y ago
Generally Intelligent | Deep Learning Engineer | San Francisco | Full-time | Local or Remote tldr; get into deep learning research engineering, no prior machine learning experience required We’re looking for someone who is excited about the
60.
by thejash 6y ago
SEEKING FREELANCER - Remote, Global Role: Deep Learning Engineer We’re looking for someone who is excited about the chance to build infrastructure for other deep learning researchers (ex: automated hyperparameter optimzers, experiment track

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