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 research.google
Can Robots Follow Instructions for New Tasks?
| | deepmind.google
A Generalist Agent - Google DeepMind
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| | Inspired by progress in large-scale language modelling, we apply a similar approach towards building a single generalist agent beyond the realm of text outputs. The agent, which we refer to as...
| | ai.googleblog.com
Towards Helpful Robots: Grounding Language in Robotic Affordances - Google Research Blog
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| | blog.research.google
A decoder-only foundation model for time-series forecasting Google Research Blog
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| | [AI summary] Google Research introduces TimesFM, a decoder-only foundation model for time-series forecasting with zero-shot capabilities, pre-trained on 100 billion real-world time-points, outperforming existing methods in various domains.
| | amatriain.net
On open source LLMs, take two: The three laws of GenAI model evolution - AI, software, tech, and people, not in that order... by X
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| In this post I summarize the main advances in the area of LLM models, and particularly open source LLMs (including Falcon, LlaMa2, and Free Willy). I describe different leaderboards and what their current top positions mean. I enunciate the three laws of generative AI model evolution, and I ask GPT-4, Bard, and LlaMa 1 the implications of these laws.