Edge 307: Learning About Program-Aided Language Models
Was this email forwarded to you? Sign up here Edge 307: Learning About Program-Aided Language ModelsLLMs that generate code for intermediate steps in a target task and the NLP Test framework.In this Issue:
💡 ML Concept of the Day: Program-Aided Language ModelsReasoning is one of the next frontiers for large language models (LLMs). This type of model has recently exhibited a remarkable aptitude in carrying out arithmetic and symbolic reasoning tasks, showcasing its prowess in "few-shot prompting" scenarios. The achievement owes much to innovative prompting techniques like "chain-of-thought" (covered in this series), wherein LLMs excel not only in comprehending the problem description by breaking it down into sequential steps but also in resolving each individual step. Despite their proficiency in stepwise decomposition, LLMs frequently encounter logical and arithmetic errors when attempting to produce accurate solutions, even in cases where the problem decomposition itself is executed flawlessly... 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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