AWS Machine Learning Blog

MAY 9, 2024

Verisk has embraced this technology and has developed their own Instant Insight Engine, or AI companion, that provides an enhanced self-service capability to their FAST platform. The Approach When building an interactive agent with large language models (LLMs), there are often two techniques that can be used: RAG and fine-tuning.

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Unite.AI

APRIL 23, 2024

Our continued investment in Aiimi’s IP, the Aiimi Insight Engine, alongside generative AI and emerging technologies, ensures that we’re able to serve the most novel use cases around, and solve even the thorniest of business challenges. With the Aiimi Insight Engine, you aim to solve the problem of underutilized data within enterprises.

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Marktechpost

JANUARY 10, 2024

In simple terms, RAG is a natural language processing (NLP) approach that blends retrieval and generation models to enhance the quality of generated content. It addresses challenges faced by Large Language Models (LLMs), including limited knowledge access, lack of transparency, and hallucinations in answers.

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AWS Machine Learning Blog

MARCH 19, 2024

This eliminates the need for data scientists to manually develop specific ML models for each use case, and therefore democratizes AI access, benefitting even small manufacturers. Currently she is part of the Amazon Q team, and an active member/mentor in Machine Learning Technical Field Community.

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