Generative Feedback Loops with LLMs

This Repository contains a collection of code snippets for running Generative Feedback Loops with Weaviate.

Additional Content

📄 Blog Post with implementation details: https://weaviate.io/blog/generative-feedback-loops-with-LLMs
🎙️ Podcast: https://youtu.be/1RALju6ZJz0

Users can easily ablate:

Please see the folders

python/
javascript/

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Papers

Augmented Language Models: A Survey. Mialon et al. 2023. Link: https://arxiv.org/abs/2302.07842.
Toolformer: Language Models Can Teach Themselves To Use Tools. Shick et al. 2023. Link: https://arxiv.org/abs/2302.04761.
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models. Wei et al. 2022. Link: https://arxiv.org/abs/2201.11903.
Synergizing Acting and Reasoning in Language Models. Yao et al. 2022. Link: https://arxiv.org/abs/2210.03629.
Emergent autonomous scientific research capabilities of large language models. Boiko et al. 2023. Link: https://arxiv.org/pdf/2304.05332.pdf.
Generative Agents: Interactive Simulacra of Human Behavior. Park et al. 2023. Link: https://arxiv.org/pdf/2304.03442.pdf.
OpenAGI: When LLM Meets Domain Experts. Ge et al. 2023. Link: https://arxiv.org/pdf/2304.04370.pdf.
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face. Shen et al. 2023. Link: https://arxiv.org/pdf/2303.17580.pdf.

Summary Index

Retrieving Texts based on Abstract Descriptions. Ravfogel et al. 2023. Link: https://arxiv.org/pdf/2305.12517.pdf