Edge 380: Inside SELF-Discover: Google DeepMind's LLM Reasoning Method for Solving Complex Tasks
Was this email forwarded to you? Sign up here Edge 380: Inside SELF-Discover: Google DeepMind's LLM Reasoning Method for Solving Complex TasksThe techniques addresses some of the limitation of prompting methods such as chain-of-thought.
Reasoning continues evolving as one of the most fascinating areas in generative AI with research papers pushing the boundaries of our imagination. Chain of thought(CoT), tree of thought(ToT), System 2 are many of the recent LLM reasoning techniques that are exploring the ability of LLMs to breakdown complex problems. Recently, researchers from Google DeepMind published a paper outlining SELF-DISCOVER, a somewhat of a novel take on LLM reasoning. As mentioned before, there is no lack of reasoning methods in the LLM space but DeepMind’s seems to have \been inspired by the way humans tackle reasoning problems. They’ve looked at methods like few-shot and zero-shot chain-of-thought prompting, which mimic the human approach of solving problems step by step. Another method, decomposition-based prompting, draws from the human ability to break down complex problems into smaller, manageable parts and then address each part individually. Additionally, they’ve explored step-back prompting, which reflects on the nature of the task to derive general principles for solving it... Subscribe to TheSequence to read the rest.Become a paying subscriber of TheSequence to get access to this post and other subscriber-only content. A subscription gets you:
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Edge 379: A Summary Of Our Series About LLM Reasoning
Tuesday, March 19, 2024
In 13 issues, this series covered the fundamental concepts, research and tech around reasoning in LLMs. ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
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Monday, March 18, 2024
Our friends from AIport – an online community of AI writers and practitioners – have just released Volume I of the Global Generative AI Landscape 2024. This landscape provides a comprehensive analysis
One AI for Navigating Any 3D Environment
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Edge 378: Meet TimesFM: Google's New Foundation Model for Time-Series Forecasting
Friday, March 15, 2024
The model is about 200M parameters and has been trained in over 100 billion data points. ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
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