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Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

Organizations are increasingly using multiple large language models (LLMs) when building generative AI applications. Although an individual LLM can be highly capable, it might not optimally address a wide range of use cases or meet diverse performance requirements.

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Pinecone lands $10M seed for purpose-built machine learning database

TechCrunch

Pinecone , a new startup from the folks who helped launch Amazon SageMaker, has built a vector database that generates data in a specialized format to help build machine learning applications faster, something that was previously only accessible to the largest organizations.

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Faster, Better, Cheaper: How to Measure the Business Impact of LLMs

Xebia

Understanding the Value Proposition of LLMs Large Language Models (LLMs) have quickly become a powerful tool for businesses, but their true impact depends on how they are implemented. The key is determining where LLMs provide value without sacrificing business-critical quality.

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The dawn of agentic AI: Are we ready for autonomous technology?

CIO

Much of the AI work prior to agentic focused on large language models with a goal to give prompts to get knowledge out of the unstructured data. Ive spent more than 25 years working with machine learning and automation technology, and agentic AI is clearly a difficult problem to solve. Agentic AI goes beyond that.

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Model customization, RAG, or both: A case study with Amazon Nova

AWS Machine Learning - AI

The introduction of Amazon Nova models represent a significant advancement in the field of AI, offering new opportunities for large language model (LLM) optimization. In this post, we demonstrate how to effectively perform model customization and RAG with Amazon Nova models as a baseline.

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Artificial intelligence is key to understanding clients & competitors

CTOvision

Read how artificial intelligence can be used to better understand your clients and competition on Business Matters : One of the latest steps within this digital transformation has been the implementation of artificial intelligence within eCommerce.

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How search accelerates your path to “AI first”

CIO

The combination of AI and search enables new levels of enterprise intelligence, with technologies such as natural language processing (NLP), machine learning (ML)-based relevancy, vector/semantic search, and large language models (LLMs) helping organizations finally unlock the value of unanalyzed data.