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Tool choice with Amazon Nova models

AWS Machine Learning Blog

In many generative AI applications, a large language model (LLM) like Amazon Nova is used to respond to a user query based on the models own knowledge or context that it is provided. Explore how Amazon Nova models can enhance your generative AI use cases today.

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Boost employee productivity with automated meeting summaries using Amazon Transcribe, Amazon SageMaker, and LLMs from Hugging Face

AWS Machine Learning Blog

The recording is transcribed to text using Amazon Transcribe and then processed using Amazon SageMaker Hugging Face containers to generate the meeting summary. The Hugging Face containers host a large language model (LLM) from the Hugging Face Hub. Mistral 7B Instruct is developed by Mistral AI.

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#45 Is Prompting a Future-Proof Skill?

Towards AI

Good morning, AI enthusiasts! Over the past few months, we have discussed the AI engineer’s toolkit for building reliable LLM products multiple times. We believe that combining RAG, prompting, and fine-tuning will be key to developing scalable solutions with generative AI.

UX Design 111
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Hallucinating Reality. An Essay on Business Benefits of Accurate LLMs and LLM Hallucination Reduction Methods

deepsense.ai

The Truth Is Out There So, how to reduce hallucinations in LLMs? What are the techniques for minimizing LLM hallucinations? Design systems that support accurate LLM performance – use grounding to anchor outputs of a language model to a trusted source. Here are a few approaches.

LLM 52
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Injecting Domain Expertise Into Your AI System

Topbots

For a detailed overview of predictive AI techniques, please refer to Chapter 4 of my book The Art of AI Product Management. Navigating the LLM triad While predictive models trained from scratch can excel at very specific tasks, they are also rigid and will refuse to perform any other task.

LLM 52
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Building AI Products With A Holistic Mental Model

Topbots

The model serves as a tool for the discussion, planning, and definition of AI products by cross-disciplinary AI and product teams, as well as for alignment with the business department. It aims to bring together the perspectives of product managers, UX designers, data scientists, engineers, and other team members.

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Reinvent personalization with generative AI on Amazon Bedrock using task decomposition for agentic workflows

AWS Machine Learning Blog

Generative AI and large language models (LLMs) offer new possibilities, although some businesses might hesitate due to concerns about consistency and adherence to company guidelines. The personalized content is built using generative AI by following human guidance and provided sources of truth.