Covalent tutorial notebooks and slides for PyData 2023, NYC
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Updated
Dec 20, 2023 - Jupyter Notebook
Covalent tutorial notebooks and slides for PyData 2023, NYC
🧠 Workshop Notebook and assets for the Anthropic Hackathon
This is the Metric Coders repository containing all the notebooks for machine learning.
All of my machine learning notebooks.
Colab notebooks to understand LLMs
This repository is dedicated to the exploration and utilization of open models, which have emerged as powerful and versatile alternatives to closed models, often surpassing them in various domains. These models have become a go-to choose for many developers and researchers due to their superior performance.
This repository acts as an archive of the owners experience working with large language models neatly presented within jupyter notebooks
A detailed notebook tutorial about LangChain Chains, Memory, Agents, Models, and Prompts.
Jupyter Raku Kernel that produces LLM-aware notebooks.
Repository for storing my NLP practice notebooks
Notebook `.ipynb` files provided in the repository can be used to setup LLM UI on online notebooks
This repository contains a collection of machine learning examples implemented in Jupyter Notebooks. Each notebook demonstrates a different machine learning technique or algorithm, along with explanations and code examples.
A comprehensive hub for updates on generative AI research, including interviews, notebooks, and additional resources.
Question-Answering with RAG and local LLMs over your Jupyter Notebooks
natural language processing notebooks
Advanced Usages of Jupyter Notebooks
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