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www.physicalintelligence.company
| | haifengl.wordpress.com
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| | Generative artificial intelligence (GenAI), especially ChatGPT, captures everyone's attention. The transformerbased large language models (LLMs), trained on a vast quantity of unlabeled data at scale, demonstrate the ability to generalize to many different tasks. To understand why LLMs are so powerful, we will deep dive into how they work in this post. LLM Evolutionary Tree...
| | evjang.com
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| | I recently gave a talk (YouTube) at the RSS'22 L-DOD workshop. Here's a lightly edited transcript and slides of the talk in blog form.
| | deepmind.google
9.5 parsecs away

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| | AutoRT, SARA-RT, and RT-Trajectory build on our historic Robotics Transformers work to help robots make decisions faster, and better understand and navigate their environments.
| | www.ddmckinnon.com
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| The embryonic state of audio LLM leaderboards Back in 2021, Google introduced the concept of instruction fine-tuning in their paper "Finetuned Language Models are Zero-Shot Learners", aka FLAN, a play on OpenAI's GPT-3 paper title, "Language Models are Few-Shot Learners". ... Continue reading ?