diff --git a/README.md b/README.md index 4263d27..7a78531 100644 --- a/README.md +++ b/README.md @@ -37,6 +37,7 @@ We organize the resources by (1) tracking all libraries, frameworks, and tools, - [Agent](#agent) - [Modeling](#modeling) - [Training](#training) + - [RAG](#rag) - [Fine-tuning](#fine-tuning-1) - [Fundamentals](#fundamentals) - [Books](#books) @@ -120,6 +121,7 @@ We organize the resources by (1) tracking all libraries, frameworks, and tools, ## Prompt Management - [Opik](https://github.com/comet-ml/opik) - Opik is an open-source platform for evaluating, testing and monitoring LLM applications +- [Prompt flow](https://github.com/microsoft/promptflow) -A toolkit by Microsoft for managing the end-to-end prompt engineering process, including the creation, debugging, and deployment of LLM workflows. ## Datasets @@ -194,6 +196,9 @@ Projects - [Lil'Log](https://lilianweng.github.io/) - Lilian Weng(OpenAI)'s blog on machine learning, deep learning, and AI, with a focus on LLMs and NLP. - [Chip's Blog](https://huyenchip.com/blog/) - Chip Huyen's blog on training LLMs, including the latest research, tutorials, and best practices. +### RAG +- [Learn RAG with Langchain](https://www.sakunaharinda.xyz/ragatouille-book/intro.html) - A guide to understanding the fundamentals of RAG (Retrieval-Augmented Generation) with Langchain. + ### Fine-tuning - [DPO](https://arxiv.org/abs/2305.18290): Rafailov, Rafael, et al. "Direct preference optimization: Your language model is secretly a reward model." Advances in Neural Information Processing Systems 36 (2024). [Code](https://github.com/eric-mitchell/direct-preference-optimization). @@ -212,7 +217,8 @@ Projects - [Ahead of AI](https://magazine.sebastianraschka.com/) - Sebastian Raschka's Newsletter, covering end-to-end LLMs understanding. - [Decoding ML](https://decodingml.substack.com/) - Content on building production GenAI, RecSys and MLOps applications. - +- [AlphaSignal](https://alphasignal.ai/) - A newsletter delivering the latest breakthrough news, models, research, and repositories in AI and machine learning. +- [NLP Newsletter](https://nlp.elvissaravia.com/) - Weekly summaries of top AI trends, papers, tools, and news, featuring highlights like Top ML Papers of the Week. ### Auto-optimization @@ -253,6 +259,7 @@ Social accounts are the best ways to stay up-to-date with the lastest LLM resear | Zach Wilson | [LinkedIn](https://www.linkedin.com/in/eczachly) | Data Engineering for LLMs | | Adi Polak | [LinkedIn](https://www.linkedin.com/in/polak-adi/) | Data Streaming for LLMs | | Eduardo Ordax | [LinkedIn](https://www.linkedin.com/in/eordax/) | GenAI voice @ AWS | +| Elvis Saravia | [LinkedIn](https://www.linkedin.com/in/omarsar/) | LLM/NLP Papers Weekly | ## Community