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Source: https://arxiv.org/abs/2211.15458
> "The complexity of natural language combined with rapid progress in large language models (LLMs) has resulted in a need for LLM validation abstractions. In …
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## Optimize the LLM kernel
- [ ] Translate current implementation to more efficient implementation (more efficient and still cross-platform)
- [ ] Multi-thread/Multi-process optimization (@om-ra…
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See the following conversation. We do not have good docs that show you how to use Azure, even though Anoner was able to figure out how to follow the generated documentation pretty deep to use the conf…
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**What would you like to be added/modified:**
1. Build a collaborative code intelligent agent alignment dataset for LLMs:
- The dataset should include behavioral trajectories, feedback, and i…
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- [ ] [[2303.16634] G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment](https://arxiv.org/abs/2303.16634)
# [2303.16634] G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment
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## Issue encountered
While setting up the framework to evaluate using LLM-as-judge, it would be helpful to test end-to-end without special permissions like setting up openai_key or HF pro subscriptio…
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### Checked other resources
- [X] I added a very descriptive title to this issue.
- [X] I searched the LangChain documentation with the integrated search.
- [X] I used the GitHub search to find a sim…
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### Feature Description
Openai_like LLMs are supported, however, it would be useful to do this with embedding models. This would allow users to integrate custom frameworks more easily. Namely, deepsp…
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I've been at work on an Agent framework that leverages Spring AI here:
https://github.com/thesurlydev/spring-ai-collab
The intent was to build an agent framework that caters to Spring users. It …
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There are so many tools in the original list of this repo, that it's difficult to know which ones are more relevant. One metric that could help is to look to the number of stars of each repo. Would be…