Invoice Data Processing with Llama2 13B LLM RAG on Local CPU [Weaviate, Llama.cpp, Haystack]

I explained how to set up local LLM RAG to process invoice data with Llama2 13B. Based on my experiments, Llama2 13B works better with tabular data compared to Mistral 7B model. This example presents a production LLM RAG setup with Weaviate database for vector embeddings, Haystack for LLM API, and Llama.cpp to run Llama2 13b on a local CPU. 

 

Invoice Data Processing with Mistral LLM on Local CPU

I explain the solution to extract invoice document fields with open-source LLM Mistral. It runs on CPU and doesn't require Cloud machine. I'm using Mistral 7B LLM model, Langchain, Ctransformers and Faiss vector store to run it on a local CPU machine. This approach gives a great advantage for enterprise systems, when running ML models on Cloud is not allowed for privacy reasons. 

 

Skipper MLOps Debugging and Development on Your Local Machine

I explain how to stop some of the Skipper MLOps services running in Docker and debug/develop these services code locally. This improves development workflow. There is no need to deploy code change to Docker container, it can be tested locally. Service that runs locally, connects to the Skipper infra through RabbitMQ queue.

 

Pros and Cons of Developing Your Own ChatGPT Plugin

I've been running ChatGPT plugin in prod for a month and sharing my thoughts about the pros and cons of developing it. Would I build a new ChatGPT plugin?