Before deploying large language models into the real world, be sure they've mastered the fundamentals. Evaluating LLMs on core abilities like summarization and question answering establishes a rigorous baseline for production readiness.
The tech world was abuzz with OpenAI's GPT-3.5 Turbo fine-tuning announcement. But much of the discourse was riddled with misconceptions. Let's unpack the facts about fine-tuning.
In this lesson, we cover fine-tuning for structured output & semantic embeddings for knowledge retrieval. Unleash AI's full potential! 🧠