There are a variety of techniques that developers can use to increase model performance in an effort to reduce latency, improve accuracy, and reduce costs. Whether it’s extending model knowledge with retrieval-augmented generation (RAG), customizing a model’s behavior with fine-tuning, or building a custom-trained model with new domain-specific knowledge, we have developed a range of options to support our customers’ AI implementations. Today, we’re launching new features to give developers more...