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Multi-LLM routing strategies for generative AI applications on AWS

Flipboard

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. In this post, we provide an overview of common multi-LLM applications.

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Stéphan Donzé, Founder and CEO at AODocs – Interview Series

Unite.AI

AI chatbots represent a major improvement over traditional enterprise search by allowing users to ask questions in natural language and receive straightforward answers. In contrast, AI chatbots offer confident answers but hide the underlying search process. Theres an additional advantage.

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Complete Beginner’s Guide to Hugging Face LLM Tools

Unite.AI

How Hugging Face Facilitates NLP and LLM Projects Hugging Face has made working with LLMs simpler by offering: A range of pre-trained models to choose from. A great resource available through Hugging Face is the Open LLM Leaderboard. Tools and examples to fine-tune these models to your specific needs.

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How AI Chatbots Mimic Human Behavior: Insights from Multi-Turn Evaluations of LLMs

Marktechpost

AI chatbots create the illusion of having emotions, morals, or consciousness by generating natural conversations that seem human-like. Fourteen behaviors were analyzed and categorized as self-referential (personhood claims, physical embodiment claims, and internal state expressions ) and relational (relationship-building behaviors).

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AI Safety on a Budget: Your Guide to Free, Open-Source Tools for Implementing Safer LLMs

Towards AI

My trusty lab assistant, ChatBot 3.7 How I found myself deep into open-source LLM safety tools You see, AI safety isnt just about stopping chatbots from making terrible jokes (though thats part of it). Its about preventing your LLMs from spewing harmful, biased, or downright dangerous content. At first, I scoffed.

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AI Safety on a Budget: Your Guide to Free, Open-Source Tools for Implementing Safer LLMs

Towards AI

My trusty lab assistant, ChatBot 3.7 How I found myself deep into open-source LLM safety tools You see, AI safety isnt just about stopping chatbots from making terrible jokes (though thats part of it). Its about preventing your LLMs from spewing harmful, biased, or downright dangerous content. At first, I scoffed.

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How IDIADA optimized its intelligent chatbot with Amazon Bedrock

AWS Machine Learning Blog

Within this landscape, we developed an intelligent chatbot, AIDA (Applus Idiada Digital Assistant) an Amazon Bedrock powered virtual assistant serving as a versatile companion to IDIADAs workforce. As AIDAs interactions with humans proliferated, a pressing need emerged to establish a coherent system for categorizing these diverse exchanges.