Repository for the "Building LLMs for Production" book by Towards AI.

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

Notebooks and Code about Generative Ai, LLMs, MLOPS, NLP , CV and Graph databases

This repository compiles code samples and notebooks demonstrating how to use Generative AI on Google Cloud Vertex AI.

Concepts and examples on using and training LLMs

เป็นการรวบรวมแหล่งข้อมูลสำหรับการเรียนรู้เกี่ยวกับปัญญาประดิษฐ์ (Artificial Intelligence - AI) และโมเดลภาษาขนาดใหญ่ (Large Language Models - LLMs) รวมถึงหัวข้อพื้นฐาน, สมุดบันทึกที่แนะนำ, คอร์สออนไลน์, เครื่องมือ, ชุดข้อมูล และเทคนิคขั้นสูงสำหรับการพัฒนาและปรับแต่งโมเดล 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.

Learn AI, ML, and NLP with interactive Jupyter Notebook tutorials.

Advanced Retrieval-Augmented Generation (RAG) through practical notebooks, using the power of the Langchain, OpenAI GPTs ,META LLAMA3 , Agents.

Learn about designing and training LLM Agents from Colab Notebooks

Jupyter notebooks for enhancing your skills with ChatGPT based prompt engineering. Harness the potential of large language models and create innovative applications.

Notebooks for the Built Multi-Agent Applications with AutoGen Course

Notebooks that use LLMs to work with historical documents and artefacts

Notebooks showing off LangChain.js v0.1.0 features.

Jupyter notebooks for course Finetuning Large Language Models, taught by Sharon Zhou (Lamini) and Andrew Ng (DeepLearning.AI).

Fine-tuning open-source large and small instruct/chat language models (LLMs & SLMs) from the Hugging Face Model Hub using public datasets.

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

Offline-first knowledge workspace for reading, chatting with, and organizing research papers.

Machine Learning, LLM and other Jupyter Notebooks and resources