Category: LLM

Large Language Models (LLMs) are incredibly capable, but out-of-the-box foundation models don’t know your business’s data, your specific coding patterns, or your unique brand voice. To bridge that gap, you need fine-tuning. Historically, fine-tuning meant wrestling with overly abstract libraries, complex distributed training configurations, or messy dependency hell. Enter LitGPT by Lightning AI: an open-source, […]

If you are building an LLM application that needs to interact with internal documentation, private wikis, or real-time data, you cannot rely on model weights alone. You need RAG (Retrieval-Augmented Generation). RAG grounds an LLM’s responses in authoritative, external sources. While the concept sounds simple, moving a RAG system from a basic prototype to production […]