A one stop repository for generative AI research updates, interview resources, notebooks and much more!
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Updated
Aug 6, 2024
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
This repository compiles code samples and notebooks demonstrating how to use Generative AI on Google Cloud Vertex AI.
Load local LLMs effortlessly in a Jupyter notebook for testing purposes alongside Langchain or other agents. Contains Oobagooga and KoboldAI versions of the langchain notebooks with examples.
Concepts and examples on using and training LLMs
Jupyter notebooks for enhancing your skills with ChatGPT based prompt engineering. Harness the potential of large language models and create innovative applications.
Notebooks showing off LangChain.js v0.1.0 features.
Advanced Retrieval-Augmented Generation (RAG) through practical notebooks, using the power of the Langchain, OpenAI GPTs ,META LLAMA3 , Agents.
Jupyter notebooks for course Finetuning Large Language Models, taught by Sharon Zhou (Lamini) and Andrew Ng (DeepLearning.AI).
This project contains the lab notebooks from course: Large Language Models: Application through Production by Databricks
These are the Microsoft Semantic Kernel Workshop notebooks. It addresses AI agents, agents collaboration and, of course, kernel, plugins, planners and function calling
A comprehensive hub for updates on generative AI research, including interviews, notebooks, and additional resources.
Run Dolly, the world’s first truly open instruction-tuned LLM, with your own prompts on IPUs
Pre-Training and Fine-Tuning transformer models using PyTorch and the Hugging Face Transformers library. Whether you're delving into pre-training with custom datasets or fine-tuning for specific classification tasks, these notebooks offer explanations and code for implementation.
Repository for running LLMs efficiently on Mac silicon (M1, M2, M3). Features Jupyter notebook for Meta-Llama-3 setup using MLX framework, with install guide & perf tips. Aims to optimize LLM performance on Mac silicon for devs & researchers.
Notebooks that use LLMs to work with historical documents and artefacts
Machine Learning, LLM and other Jupyter Notebooks and resources
Notebook for Flan-T5 – an alternative to large language models like GPT-3 & GPT-4 for NLP tasks like named entity recognition and text generation.
QA With Jupyter NoteBook(.ipynb) powered by LangChain & Anthropic
A Concise Notebook to Summarize Your iMessage Conversations
Notebooks for the Built Multi-Agent Applications with AutoGen Course
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