Emerging Patterns in Building GenAI Products

As generative AI products move from proof-of-concept to production, new challenges arise that require engineers to develop specific patterns to tackle issues like non-determinism and hallucination. Key techniques include Direct Prompting to connect users with LLMs and Evals to systematically assess model performance. Evaluations are crucial to ensuring that AI systems behave as intended, involving methods like self-evaluation, LLM-as-judge, and human evaluation. Further installments will explore topics like embeddings, Retrieval Augmented Generation (RAG), and fine-tuning LLMs.