carlos-ruiz-moreno's Stars
Ryota-Kawamura/LangChain-Chat-with-Your-Data
Start building practical applications that allow you to interact with data using LangChain and LLMs.
Ryota-Kawamura/Generative-AI-with-LLMs
In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications.
conceptofmind/toolformer
microsoft/K-Adapter
allenai/kb
KnowBert -- Knowledge Enhanced Contextual Word Representations
zylon-ai/private-gpt
Interact with your documents using the power of GPT, 100% privately, no data leaks
Significant-Gravitas/AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
zilliztech/GPTCache
Semantic cache for LLMs. Fully integrated with LangChain and llama_index.
pinecone-io/examples
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
databrickslabs/dolly
Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform
streamlit/llm-examples
Streamlit LLM app examples for getting started
leo-usa/MemoryBot
A chatbot 🤖 which remembers 🧠 using 🦜 LangChain 🔗 OpenAI | Streamlit | DataButton
dKosarevsky/AI-Talks
AI Talks - ChatGPT Assistant via Streamlit
meta-llama/llama
Inference code for Llama models
h2oai/h2o-llmstudio
H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/
ray-project/ray-llm
RayLLM - LLMs on Ray
Ryota-Kawamura/Mathematics-for-Machine-Learning-and-Data-Science-Specialization
Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine learning: calculus, linear algebra, statistics, and probability.
Ryota-Kawamura/How-Diffusion-Models-Work
In How Diffusion Models Work, you will gain a deep familiarity with the diffusion process and the models which carry it out. More than simply pulling in a pre-built model or using an API, this course will teach you to build a diffusion model from scratch.
Ryota-Kawamura/ChatGPT-Prompt-Engineering-for-Developers
In ChatGPT Prompt Engineering for Developers, you will learn how to use a large language model (LLM) to quickly build new and powerful applications.
Ryota-Kawamura/Building-Systems-with-the-ChatGPT-API
In Building Systems With The ChatGPT API, you will learn how to automate complex workflows using chain calls to a large language model.
Ryota-Kawamura/LangChain-for-LLM-Application-Development
In LangChain for LLM Application Development, you will gain essential skills in expanding the use cases and capabilities of language models in application development using the LangChain framework.
openai/chatgpt-retrieval-plugin
The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.
openai/openai-cookbook
Examples and guides for using the OpenAI API
karpathy/minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
karpathy/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
huggingface/peft
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
noahshinn/reflexion
[NeurIPS 2023] Reflexion: Language Agents with Verbal Reinforcement Learning
gpt-engineer-org/gpt-engineer
Platform to experiment with the AI Software Engineer. Terminal based. NOTE: Very different from https://gptengineer.app
gradio-app/gradio
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
rasbt/LLM-finetuning-scripts