Reading list for research topics in multimodal machine learning

Code for DeMuX: Data-efficient Multilingual Learning

Go ahead and axolotl questions

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Get up and running with Llama 3, Mistral, Gemma 2, and other large language models.

Machine Learning algorithm implementations from scratch.

PyTorch Tutorials from my YouTube channel

Attention is all you need implementation

A one stop repository for generative AI research updates, interview resources, notebooks and much more!

LLM Finetuning with peft

Modeling, training, eval, and inference code for OLMo

Code for all three tasks of SemEval-2021 Task 6

Creating dataframes from Tweets.

LLaMA 2 implemented from scratch in PyTorch

Reinforcement Learning for real-time applications - host of the TrackMania Roborace League

Chapyter: ChatGPT Code Interpreter in Jupyter Notebooks

meta_llama_2finetuned_text_generation_summarization

🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading

Repository for DISRPT2023 shared task

Code for Paper: “Low-Resource” Text Classification: A Parameter-Free Classification Method with Compressors

Falcon40B and 7B (Instruct) with streaming, top-k, and beam search

Awesome-LLM: a curated list of Large Language Model

Inference code for Llama models