Knowledge Base Storage Technical Review Training 
AWS Machine Learning - AI
APRIL 26, 2024
At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. With Knowledge Bases for Amazon Bedrock, you can securely connect foundation models (FMs) in Amazon Bedrock to your company data for fully managed Retrieval Augmented Generation (RAG).
AWS Machine Learning - AI
FEBRUARY 29, 2024
Knowledge Bases for Amazon Bedrock allows you to build performant and customized Retrieval Augmented Generation (RAG) applications on top of AWS and third-party vector stores using both AWS and third-party models. If you want more control, Knowledge Bases lets you control the chunking strategy through a set of preconfigured options.
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AWS Machine Learning - AI
MAY 30, 2024
Alternatively, open-source technologies like Langchain can be used to orchestrate the end-to-end flow. Technical components and evaluation criteria In this section, we discuss the key technical components and evaluation criteria for the components involved in building the solution.
AWS Machine Learning - AI
APRIL 18, 2024
Organizations typically counter these hurdles by investing in extensive training programs or hiring specialized personnel, which often leads to increased costs and delayed migration timelines. This Knowledge Base includes tailored best practices, security guardrails, and guidelines specific to the organization.
Altexsoft
NOVEMBER 22, 2021
The importance of self-service is steadily increasing, with knowledge bases being the bright representative of the concept. Research shows that customers prefer knowledge bases over other self-service channels, so consider creating one — and we’ll help you figure out what it is and how you can make it best-of-class.
AWS Machine Learning - AI
MARCH 19, 2024
Generative AI using large pre-trained foundation models (FMs) such as Claude can rapidly generate a variety of content from conversational text to computer code based on simple text prompts, known as zero-shot prompting. Answers are generated through the Amazon Bedrock knowledge base with a RAG approach.
AWS Machine Learning - AI
MAY 14, 2024
These models are pre-trained on massive datasets and, to sometimes fine-tuned with smaller sets of more task specific data. RLHF is a technique that combines rewards and comparisons, with human feedback to pre-train or fine-tune a machine learning (ML) model. You can build such chatbots following the same process.
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