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How to Build Your Own LLM Coding Assistant With Code Llama 🤖
Data Science   Latest   Machine Learning

How to Build Your Own LLM Coding Assistant With Code Llama 🤖

Author(s): Dr. Leon Eversberg

Originally published on Towards AI.

Creating a local LLM chatbot with CodeLlama-7b-Instruct-hf and Streamlit
The coding assistant chatbot we will build in this article

In this hands-on tutorial, we will implement an AI code assistant that is free to use and runs on your local GPU.

You can ask the chatbot questions, and it will answer in natural language and with code in multiple programming languages.

We will use the Hugging Face transformer library to implement the LLM and Streamlit for the Chatbot front end.

Decoder-only Transformer models, such as the GPT family, are trained to predict the next word for a given input prompt. This makes them very good at text generation.

The training process of Decoder-only Transformers

Given enough training data, they can also learn to generate code. Either by filling in code in your IDE, or by answering questions as a chatbot.

GitHub Copilot is a commercial example of an AI pair programmer. Meta AI’s Code Llama models have similar capabilities but are free to use.

Code Llama is a special family of LLMs for code created by Meta AI and originally released in August 2023.

Not this Llama. Photo by Liudmila Shuvalova on Unsplash

Starting with the foundation model Llama 2 (a decoder-only Transformer model similar to GPT-4), Meta AI did further training with 500B tokens of training data, which… Read the full blog for free on Medium.

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Published via Towards AI

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