Amazon Bedrock is a fully managed service by AWS that provides access to various foundation models (FMs) from leading AI companies. These models support generative AI use cases such as text generation, summarization, image creation, and embeddings without needing complex infrastructure management.
Jurassic-2 models are advanced language models designed for text generation, summarization, and Q&A tasks. They are known for their high accuracy in natural language understanding and flexible instruction-following capabilities.
Claude models are conversational AI models created by Anthropic. They are ideal for safe, helpful, and controllable chatbots, virtual assistants, and enterprise AI use cases requiring strong ethical alignment and reliable outputs.
Cohere provides Command R models, optimized for retrieval-augmented generation (RAG). These models are powerful for knowledge-based tasks, enterprise search, and document-based Q&A where accuracy and retrieval context are important.
Amazon Bedrock offers Meta’s LLaMA-2 models (Large Language Model Meta AI). They excel at general text generation, summarization, and coding assistance, and are popular among developers for their open innovation focus.
Stability AI provides Stable Diffusion models for image generation. These models create high-quality, realistic, and artistic images from textual prompts, widely used in advertising, design, and creative AI applications.
Amazon’s own Titan models include:
Titan Text: For text generation, rewriting, and summarization tasks tailored to enterprise needs.
Titan Embeddings: For creating embeddings to support RAG pipelines, semantic search, personalization, and recommendation systems.
These models power a range of use cases, including chatbots, content creation, summarisation, knowledge extraction, image generation, and embedding-based semantic searches in enterprise systems.
Amazon Bedrock offers a wide selection of foundation models from AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon Titan. Each model serves unique use cases, enabling businesses to build secure and scalable generative AI applications efficiently.