Is AI/ML Monitoring just Data Engineering? 🤔

While the future of machine learning and MLOps is being debated, practitioners still need to attend to their machine learning models in production. This is no easy task, as ML engineers must constantly assess the quality of the data that... View article

Combine and Query Multiple Documents with an “LLM”

Large Language Models (LLMs) are popular for personal projects, but how can we use them in production? One of the immediate use cases that stands out is using an LLM like GPT to query your documents. It’s not enough to query one document; instead, we need to query multiple documents. LlamaIndex and Milvus can help us get started in a Jupyter Notebook.... View article

Fine Tuning vs. Prompt Engineering Large Language Models

Author: Niels Bantilan When to manipulate the input prompt and when to roll up your sleeves and update parameter weights. Chances are you’ve already interacted in some way with a Large Language Model (LLM): either through a hosted interface like ChatGPT, HuggingChat and Bard,... View article

Fixing the MLOps Survey on LLMs with ChatGPT API: Lessons Learned

Large Language Model (LLM) is such an existing topic. Since the release of ChatGPT, we saw a surge of innovation ranging from education mentorship to finance advisory. Each week is a new opportunity for addressing new kinds of problems, increasing human productivity, or improving existing solutions. Yet, we may wonder... View article