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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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Achieve operational excellence with well-architected generative AI solutions using Amazon Bedrock

AWS Machine Learning Blog

It’s a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like Anthropic, Cohere, Meta, Mistral AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

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How Twilio generated SQL using Looker Modeling Language data with Amazon Bedrock

AWS Machine Learning Blog

As long as the LookML file doesn’t exceed the context window of the LLM used to generate the final response, we don’t split the file into chunks and instead pass the file in its entirety to the embeddings model. The two subsets of LookML metadata provide distinct types of information about the data lake.

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11 Trending LLM Topics Coming to ODSC West 2024

ODSC - Open Data Science

Fine Tuning Strategies for Language Models and Large Language Models Kevin Noel | AI Lead at Uzabase Speeda | Uzabase Japan-US Language Models (LM) and Large Language Models (LLM) have proven to have applications across many industries. This talk provides a comprehensive framework for securing LLM applications.

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John Snow Labs to Present Latest Advances in Healthcare Generative AI at HIMSS 2025

John Snow Labs

Combining healthcare-specific LLMs along with a terminology service and scalable data ingestion pipelines, it excels in complex queries and is ideal for organizations seeking OMOP data enrichment.

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Introducing the Topic Tracks for ODSC East 2025: Spotlight on Gen AI, AI Agents, LLMs, & More

ODSC - Open Data Science

Whats Next in AI TrackExplore the Cutting-Edge Stay ahead of the curve with insights into the future of AI. This track will cover the latest best practices for managing AI models from development to deployment. This track will guide you in aligning AI systems with ethical standards and minimizing bias.

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Announcing the First Sessions for ODSC East 2024

ODSC - Open Data Science

The AI Paradigm Shift: Under the Hood of a Large Language Models Valentina Alto | Azure Specialist — Data and Artificial Intelligence | Microsoft Develop an understanding of Generative AI and Large Language Models, including the architecture behind them, their functioning, and how to leverage their unique conversational capabilities.