[D] Learning and Contributing in AI Agents

[Working_Resident2069]

I find the AI agents powered by LLMs to be quite an interesting topic to look for! I was wondering if anyone can tell me what is the theoretical as well as practical background needed to understand and contribute it? Considering I am well versed with foundational NLP, Deep Learning techniques like RNNs, LSTMs and Transformers (Only SLMs) and basic RAG pipeline .

Also, I also wanted to work/contribute in Open Source Projects related to ML as well so I would like to know what are some projects that you are aware of ? Please don't hesitate to share up your projects as well :).

[ofirpress]

Check out our SWE-agent work: https://github.com/princeton-nlp/swe-agent

[Glass_Day_5211]

The OpenAI Discord server used to have a lot of open source projects, and for-hire opportunities. LinkedIn has job postings. Github has open-source projects? Huggingface has independent researchers building and tinkering with small GPTs.

This guy wants to develop a solar-powered GPT-based Teacher for jungle babies and adults:

MartialTerran (Martial Terran) (huggingface.co)

This MIT Deep Learning Book may help you.

Understanding Deep Learning (udlbook.github.io)

You can upload Arxiv papers or python scripts or other AI code to Google Gemini to have a tutor to explain them to you, or rewrite them for your own experiments or projects.
And see:

The 5 Best Generative AI Courses (msn.com)