we went thru this specific reading list in our paper club: https://www.youtube.com/watch?v=hnIMY9pLPdg
if you are interested in a narrative version.
- Actual examples of Fine tuning of LLMs or making merges - usually talked about in r/localLlama for specific use cases like role playing or other scenarios that instruction tuned LLMs are not good at. Jupyter notebook or blog post would be great here.
- Specifically around Agents & Code generation - Anthropic's post about SWE-bench verified gives a very practical look at writing a coding agent https://www.anthropic.com/research/swe-bench-sonnet with prompts, tool schema and metrics.
- The wide amount of Loras and fine tunes available on civitai for image models - a guide on making a custom one that you can use in ComfyUI.
- State of the art in audio models in production - Elevenlabs seems to still be the best for closed platforms, but there are some options for open source voice cloning, TTS, or even text to speech with very small parameter models (kokoro 82M).
I am out of my depth when it comes to reading papers, but I second 'The Prompt Report' from your list.
It gives a great taxonomy that helped me understand the space of prompting techniques better.
I’m curious, is there also some specific existing “AI Researcher Reading List” you would personally recommend? Or do you plan on making and maintaining one?