AWS has recently introduced its new service, Amazon Bedrock, which is designed for customers and businesses interested in building their own generative AI applications. Unlike traditional AI, which is limited to predetermined rules and patterns, generative AI offers a more humanlike experience in terms of creativity and imagination.
Generative AI, as exemplified by Amazon Bedrock, can generate text, images, and conversation based on user prompts. It utilizes foundational models, which are machine learning models trained on massive amounts of data sets. These models are able to understand user prompts and respond in natural language.
One example of a foundational model is GPT 3.5, which powers the most popular chatbot today. However, with Amazon Bedrock, users have the flexibility to choose from a variety of foundational models, such as Jurassic and Stable Diffusion, provided by AI 21 labs.
Amazon Bedrock also offers the option to customize the foundational models with your own data through fine-tuning and retrieval augmented generation. Fine-tuning allows users to improve the performance of the foundational models by providing their own training data sets. This is particularly useful for specific or narrow tasks where users want to obtain desired outcomes.
In addition to fine-tuning, Amazon Bedrock incorporates something called RAG (Retrieval Augmented Generation). RAG is responsible for retrieving data that does not exist in the foundational models and applying the logic and reasoning of those models to the retrieved data. This allows users to achieve desired outcomes even when the data is not present in the foundational models.
To use Amazon Bedrock, users can create a knowledge base to store private data and create an agent to manage interactions between the foundational models, the user, the knowledge base, and other features or apps. The goal is to execute complex tasks without the need for coding.
One of the key advantages of Amazon Bedrock is its serverless nature, which eliminates the need to deal with infrastructure. Users can focus on building and deploying generative AI applications without worrying about managing servers.
In conclusion, Amazon Bedrock opens up new possibilities for generative AI applications. With its wide range of foundational models, fine-tuning capabilities, and retrieval augmented generation, users can unleash their creativity and imagination to create AI applications that offer a more humanlike experience.
