📄️ Foundation Model Information
Amazon Bedrock helps you rapidly adapt and take advantage of the latest generative AI innovations with easy access to a choice of high-performing FMs from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon. The single-API access of Amazon Bedrock, regardless of the models you choose, gives you the flexibility to use different FMs and upgrade to the latest model versions with minimal code changes.
📄️ Prompt Engineering
Prompt engineering is an empirical science that involves iterating and testing prompts to optimize performance. Most of the effort spent in the prompt engineering cycle is not actually in writing prompts. Rather, the majority of prompt engineering time is spent developing a strong set of evaluations, followed by testing and iterating against those evals.
📄️ Retrival Augementation Generation
Retrieval-Augmented Generation (RAG) is the process of optimizing the output of a large language model, so it references an authoritative knowledge base outside of its training data sources before generating a response. Large Language Models (LLMs) are trained on vast volumes of data and use billions of parameters to generate original output for tasks like answering questions, translating languages, and completing sentences. RAG extends the already powerful capabilities of LLMs to specific domains or an organization's internal knowledge base, all without the need to retrain the model. It is a cost-effective approach to improving LLM output so it remains relevant, accurate, and useful in various contexts.