Lists (21)
Agents
AI coders
LLM tools to help coding. Hopefully without just causing more problems than they create.AI Image and Video tech
Answer engines
Perplexity clonesAudio AI
Climate tech
Embeddings
Semantic Textual Embedding Vectors for use with language models and vector engines for converting natural language into numbers that can be semantically compared.Frontend
Golang + LLMs
Repos that help make it easier to use go with LLMsLLM evaluators
How do you know whether your LLM is any good? Use one of these.LLM inference
Tools to load LLM models and perform predictions on them.LLM Jailbreaks
LLM transformation
Fine tuning, distillation, quantisation, merging.Mojo + LLMs
Mojo is a sort of superset of Python that's vastly faster. This list contains resources relating to LLMs.PDFs processors
Prompt optimisation
Prompts are brittle and model-specific. Optimisers learn iteratively to construct a better prompt.RAG solutions
Retrieval Augmented Generation is a term to describe any system that draws from external fact sources as part of query handling. Could be a vector db, a database, or maybe an external or internal API.Recommenders
Text2SQL
Resources that make it easy to take natural language and turn it into safe SQL queries, fast.Vector engines
Storage systems for plain text search.Web scrapers
Stars
🦜🔗 Build context-aware reasoning applications
A latent text-to-image diffusion model
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
A game theoretic approach to explain the output of any machine learning model.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
A guidance language for controlling large language models.
llama3 implementation one matrix multiplication at a time
A multi-voice TTS system trained with an emphasis on quality
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
Automatic extraction of relevant features from time series:
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
Zero-Shot Speech Editing and Text-to-Speech in the Wild
this repository accompanies the book "Grokking Deep Learning"
Code samples used on cloud.google.com
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
Using Low-rank adaptation to quickly fine-tune diffusion models.