Linking pages
- How to make LLMs go fast https://vgel.me/posts/faster-inference/ 54 comments
- GitHub - microsoft/aici: AICI: Prompts as (Wasm) Programs https://github.com/microsoft/aici 36 comments
- GitHub - mlabonne/llm-course: Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks. https://github.com/mlabonne/llm-course 10 comments
- GitHub - uiuc-focal-lab/syncode: Efficient and general syntactical decoding for Large Language Models https://github.com/uiuc-focal-lab/syncode 3 comments
- GitHub - bentoml/BentoVLLM: Self-host LLMs with vLLM and BentoML https://github.com/bentoml/BentoVLLM 1 comment
- The 5 Use Cases for Enterprise LLMs - by Colin Harman https://colinharman.substack.com/p/the-5-use-cases-for-enterprise-llms 0 comments
- Should you fine tune for JSON output? | Pierce Freeman https://freeman.vc/notes/should-you-fine-tune-for-json-output 0 comments
- GitHub - genomoncology/FuzzTypes: Pydantic extension for annotating autocorrecting fields. https://github.com/genomoncology/FuzzTypes 0 comments
Linked pages
- ViperGPT: Visual Inference via Python Execution for Reasoning https://viper.cs.columbia.edu/ 219 comments
- JSON Schema https://json-schema.org/ 157 comments
- Transformers Agent https://huggingface.co/docs/transformers/transformers_agents 125 comments
- GitHub - huggingface/transformers: 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. https://github.com/huggingface/transformers 26 comments
- GitHub - Significant-Gravitas/Auto-GPT: An experimental open-source attempt to make GPT-4 fully autonomous. https://github.com/Significant-Gravitas/Auto-GPT 22 comments
- GitHub - yoheinakajima/babyagi https://github.com/yoheinakajima/babyagi 3 comments
- Welcome to Pydantic - Pydantic https://docs.pydantic.dev/latest/ 2 comments
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