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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. Lulu Wong is an AI UX designer on the Amazon Artificial General Intelligence (AGI) team.

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#45 Is Prompting a Future-Proof Skill?

Towards AI

Over the past few months, we have discussed the AI engineer’s toolkit for building reliable LLM products multiple times. Visrix is looking for an audio-video specialist to help with UI/UX design, AWS configurations, and scaling as the platform grows. Good morning, AI enthusiasts!

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Real-Real-World Programming with ChatGPT

O'Reilly Media

Our paper reinforces the growing consensus that LLM-based AI tools such as ChatGPT and GitHub Copilot can now solve many of the small self-contained programming problems that are found in introductory classes. What I needed at this time was a UX design consultant, so I wanted to see if ChatGPT could play this role.

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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 Hugging Face containers host a large language model (LLM) from the Hugging Face Hub. In this post, we deploy the Mistral 7B Instruct, an LLM available in the Hugging Face Model Hub, to a SageMaker endpoint to perform the summarization tasks. Apart from that, she is interested in UX design and playing cards.

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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.

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Redefining Conversational AI with Large Language Models

Topbots

After considering the market opportunities and the business value of conversational AI systems, we will explain the additional “machinery” in terms of data, LLM fine-tuning, and conversational design that needs to be set up to make conversations not only possible but also useful and enjoyable. section 2) and a pre-trained LLM.

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Injecting Domain Expertise Into Your AI System

Topbots

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. For example, an LLM-based conversational widget in an SCO system can allow users to interact with real-time insights using natural language.

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