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Build RAG and agent-based generative AI applications with new Amazon Titan Text Premier model, available in Amazon Bedrock | Amazon Web Services

May 07, 2024 - aws.amazon.com
Amazon has introduced Amazon Titan Text Premier, the latest large language model (LLM) in the Amazon Titan family of models, now available in Amazon Bedrock. Titan Text Premier is optimized for text-based enterprise applications, with a maximum context length of 32K tokens, and is specifically designed for enterprise use cases such as building Retrieval Augmented Generation (RAG) and agent-based applications. It has been pre-trained on multilingual text data but is best suited for English-language tasks. Users can further custom fine-tune Titan Text Premier with their own data in Amazon Bedrock to build applications specific to their domain, organization, brand style, and use case.

Titan Text Premier has been optimized for high-quality RAG and agent-based applications and customization through fine-tuning while incorporating responsible AI practices. It also allows for fine-tuning with user data to increase model accuracy and create unique user experiences. Amazon Titan Text Premier incorporates safe, secure, and trustworthy practices and integrates with Guardrails for Amazon Bedrock for additional safeguards. The model has shown strong performance across diverse and challenging benchmarks, highlighting its ability to handle a wide range of use cases in enterprise applications.

Key takeaways:

  • Amazon has introduced a new large language model, Amazon Titan Text Premier, in Amazon Bedrock, optimized for text-based enterprise applications.
  • Titan Text Premier is specifically optimized for Retrieval Augmented Generation (RAG) and agent-based applications, and can be fine-tuned with your own data for specific use cases.
  • The model incorporates responsible AI practices and offers indemnification against claims of third-party copyright infringement.
  • Amazon Titan Text Premier is now available in the AWS US East (N. Virginia) Region, with custom fine-tuning available in preview in the same region.
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