Resources

• The Little Book of Deep Learning - François Fleuret
• François Fleuret’s deep learning course
• Jeremy Howard’s courses
• Karpathy’s LLM Tokenizer Video
• @arpitingle’s ML Resources Stash
• Deep Learning (MIT Press Book)
  • this book covers everything up to just before transformers
• LocalModelsPapers rentry link
• Generative AI Handbook

Reading List

• LLM Reading List
• Unlimiformer - kNN inside transformers
• How far can you train a model on a single consume GPU
• Karpathy’s course on building NNs from scratch
• Reinforcement Learning (intro)
• A Meticulous Guide to Advances in Deep Learning Efficiency over the Years

links below from yacine.ca

• https://arxiv.org/abs/2209.04836
  • Git re-basin
• https://arxiv.org/pdf/2212.04089.pdf
  • editing models with task arithmetic
• Ologs (ontology log)
• GLaM
• DEMix Layers
• Branch-Train-Merge
• Cluster-BTM
• SMEAR
• TIES-Merging
• AdapterFusion
• KNN Zero-Shot Inference
• Cross-Task Skills with Task-Level Mixture-of-Experts
• Mixture-of-Supernets
• Sparse Upcycling
• AdaMix
• Prompting Large Language Models with Speech Recognition Abilities
• https://arxiv.org/pdf/2307.11795.pdf
  • speech recognition with palm-e like strategy

https://dreamtuner-diffusion.github.io/ - ipadapter but different https://arxiv.org/pdf/2312.13789.pdf - how i beat the big wigs https://arxiv.org/abs/2312.09608 - faster stable diffusion by skipping unecessary bits https://github.com/damo-vilab/AnyDoor - instruct edit + https://old.reddit.com/r/StableDiffusion/comments/18kd0na/code_for_anydoor_zeroshot_objectlevel_image/ dont forget - diffusion slider demo https://github.com/Kevin-thu/DiffMorpher?tab=readme-ov-file https://arxiv.org/pdf/2312.01943.pdf - anime https://huggingface.co/spaces/JingyeChen22/TextDiffuser-2 https://github.com/open-mmlab/PIA - video generator https://github.com/cumulo-autumn/StreamDiffusion - turbo go fast