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metriccoders/README.md

Welcome to Metric Coders! πŸ‘‹

I'm Suhas Bhairav and I'm building the world's largest open-source Large Language Models ecosystem called Metric Coders. The repository comprises of various Retrieval Augmented Generation (RAG) notebooks and python programs, fine-tuned Large Language Models, full-stack websites that use AI models, datasets, notebooks, full stack LLM applications, Indic language models, Artificial Intelligence Studio, and more. The projects are implemented using a variety of Javascript frameworks such as Next JS, ML models using PyTorch, Keras, TensorFlow, Scikit-learn and Langchain.

I'm constantly creating notebooks to fine tune Large Language Models (LLMs) and RAG notebooks with custom data. My blog is www.metriccoders.com and feel free to star my repositories if you like them.

Main Project

My main project right now is creating a PyPI package for fine-tuning Large Language Models (LLMs) in one line called one-line-llm-tuner, completly eliminating the need to remember the boilerplate. The Python package does all the hard work.

My Mission πŸš€

My mission is to democratize AI and make it accessible to everyone. I believe in the power of open-source and the impact it can have on the world. I invite you to join me on this journey!

Projects πŸ“š

Here are some of the projects I'm working on:

  • Retrieval Augmented Generation (RAG): I'm creating a large number of RAG notebooks and python programs using Llama-Index. These include RAG agents as well.
  • One Line LLM Tuner: I'm creating a PyPI package to fine-tune LLMs in one line.
  • AI Studio: I'm developing a no-code software to train, download and deploy ML models.
  • Full Stack LLM Applications: I'm developing end-to-end applications using Large Language Models. This includes AI SaaS applications, including ones powered by Langchain.
  • AI Models: I have a collection of state-of-the-art AI models for a variety of tasks.
  • Datasets: I provide high-quality datasets for training and testing AI models.
  • Notebooks: I share Jupyter notebooks, Google Colab and Python programs that demonstrate how to implement and use different AI models and datasets.
  • Large Language Models: I share Google Colab notebooks containing code to fine tune Large Language Models (LLMs) with custom data.
  • Indic Language Models: I'm working on models specifically designed for Indic languages.

Contact Me πŸ“§

Join me in building the world's largest open-source AI SaaS platform. Contact: info@metriccoders.com

Pinned Loading

  1. one-line-llm-tuner one-line-llm-tuner Public

    This repository is the source code for fine tuning any LLM in just one line πŸ”₯

    Python 3 1

  2. ai-studio ai-studio Public

    AI Studio by Metric Coders: A No-Code Software to train, download and deploy Large Language Models.

    Python 5 1

  3. metriccoders_notebooks metriccoders_notebooks Public

    This is the Metric Coders repository containing all the notebooks for machine learning.

    Jupyter Notebook 2 1