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[Feature] Support popular prompting frameworks and initial implementation of popular reasoning strategies #9

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PanQiWei opened this issue Nov 25, 2023 · 0 comments
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PanQiWei commented Nov 25, 2023

There is a recently published paper A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future.

In addition to supporting mainstream LLM backends, the project should also encompass support for some popular prompting frameworks such as langchain, semantic kernel, prompt flow, textai, LlamaIndex, etc. The fundamental requirement is to offer straightforward wrappers for these frameworks, ensuring developers can seamlessly integrate them into our project. Additionally, efforts should be made to combine and encapsulate commonly used functionalities from these frameworks, minimizing redundancy in developers' work.

Simultaneously, the project should extensively implement useful LLM reasoning strategies and encapsulate them into functional modules. Ideally, these strategies should be packaged into individual tools, enabling LLMs to autonomously select and apply the appropriate strategy as needed.

(todo list here)

@PanQiWei PanQiWei changed the title [Feature] Initial implementation of popular prompting frameworks [Feature] Support popular prompting frameworks and initial implementation of popular reasoning strategies Nov 25, 2023
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