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add some resources #25

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9 changes: 8 additions & 1 deletion README.md
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Expand Up @@ -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)
Expand Down Expand Up @@ -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

Expand Down Expand Up @@ -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).
Expand All @@ -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
Expand Down Expand Up @@ -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

Expand Down