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Google DeepMind Researchers Propose Chain of Code (CoC): A Simple Yet Surprisingly Effective Extension that Improves Language Model (LM) Code-Driven Reasoning

Marktechpost

CoC scales well with large and small models and broadens the scope of reasoning questions LMs can correctly answer by thinking in code. To solve a given problem, CoC generates reasoning substeps in the code structure. A core contribution of CoC is not just the generation of reasoning code but how it is executed.

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Edge 369: LLM Reasoning with Chain-Of-Code

TheSequence

Created Using DALL-E In this Issue: Understanding chain-of-code(CoC) for LLM Reasoning. A review of the Google DeepMind’s original CoC paper. That was the thesis behind the chain-of-code(CoC) method. An introduction to the popular Embedchain RAG framework. 💡 ML Concept of the Day: What is Chain-of-Code? Read more

LLM 59
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Don't Overlook China's Open Source LLMs

TheSequence

Created Using DALL-E Next Week in The Sequence: Edge 369: Our series about LLM reasoning continues with the recently published Chain-of-Code(CoC) method. We review the original CoC paper by Google DeepMind and the super popular Embedchain framework.

LLM 111
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5 things to know: IBM Cloud’s mission to accelerate innovation for clients

IBM Journey to AI blog

In 2017, IBM was one of the first companies to demonstrate that its services adhered to the EU Cloud Code of Conduct (EU CoC), which aims to align the cloud sector with rigorous technical and organizational measures for effective General Data Protection Regulation (GDPR) implementation.

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Four Releases from Google DeepMind in a Single Week!

TheSequence

Chain of Code Google DeepMind published a paper introducing Chain of Code(CoC), a method that augments LLMs code-driven reasoning. The key principle in CoC is to identify semantic tasks in a sentence and generate the equivalent pseudo-code that can be interpreted by an LLM —> Read more.

LLM 59