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How Deltek uses Amazon Bedrock for question and answering on government solicitation documents

AWS Machine Learning Blog

Deltek is continuously working on enhancing this solution to better align it with their specific requirements, such as supporting file formats beyond PDF and implementing more cost-effective approaches for their data ingestion pipeline. The first step is data ingestion, as shown in the following diagram. What is RAG?

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Learn AI Together — Towards AI Community Newsletter #18

Towards AI

It is a roadmap to the future tech stack, offering advanced techniques in Prompt Engineering, Fine-Tuning, and RAG, curated by experts from Towards AI, LlamaIndex, Activeloop, Mila, and more. Building an Enterprise Data Lake with Snowflake Data Cloud & Azure using the SDLS Framework.

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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

Core features of end-to-end MLOps platforms End-to-end MLOps platforms combine a wide range of essential capabilities and tools, which should include: Data management and preprocessing : Provide capabilities for data ingestion, storage, and preprocessing, allowing you to efficiently manage and prepare data for training and evaluation.

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Unlocking generative AI for enterprises: How SnapLogic powers their low-code Agent Creator using Amazon Bedrock

AWS Machine Learning Blog

It facilitates the seamless customization of FMs with enterprise-specific data using advanced techniques like prompt engineering and RAG so outputs are relevant and accurate. SnapLogic uses Amazon Bedrock to build its platform, capitalizing on the proximity to data already stored in Amazon Web Services (AWS).

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Introducing Amazon Kendra GenAI Index – Enhanced semantic search and retrieval capabilities

AWS Machine Learning Blog

Amazon Kendra GenAI Index addresses common challenges in building retrievers for generative AI assistants, including data ingestion, model selection, and integration with various generative AI tools. Organizations can select their preferred language models, customize prompts, and manage costs through pay-per-token pricing.