The Fine-Tuning Trap: What the Math Doesn't Tell You About Custom AI Models

What You'll Learn Understand the limitations of fine-tuning large language models (LLMs) for specific tasks. Recognize the hidden costs - beyond compute - associated with maintaining custom AI models. Explore alternative strategies like Retrieval-Augmented Generation (RAG) and prompt engineering for achieving desired outcomes. Appreciate the trade-offs between customization and generalization in the context of LLMs. Learn how to evaluate whether fine-tuning is genuinely necessary for your applic