Remove Explainability Remove Large Language Models Remove UX Design
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Visual captions: Using large language models to augment video conferences with dynamic visuals

Google Research AI blog

We fine-tuned a large language model to proactively suggest relevant visuals in open-vocabulary conversations using a dataset we curated for this purpose. We open sourced Visual Captions as part of the ARChat project, which is designed for rapid prototyping of augmented communication with real-time transcription.

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Redefining Conversational AI with Large Language Models

Topbots

Building AI products with a holistic mental model for an introduction to the mental model). Figure 1: Mental model of an AI system (cf. Building AI products with a holistic mental model ) 1. Non-technical team members, including product managers and UX designers, will also be continuously testing the product.

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Ivan Crewkov CEO & Co-Founder of Buddy AI – Interview Series

Unite.AI

What applies to smart homes does not apply to early learning, from technologies to UX design. Children download the App and convince parents to pay for a subscription, explaining that Buddy is a teacher. To make this approach work, we are designing Buddy as a game with a story and a universe.

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Real-Real-World Programming with ChatGPT

O'Reilly Media

I’m a professor who is interested in how we can use LLMs (Large Language Models) to teach programming. For instance, when it explained to me what a content script does, it added that “For your specific project, a content script would be used to extract information (the publication date) from the academic paper’s webpage.

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The Future of Software Engineering: LLMs and Beyond

Heartbeat

After closely observing the software engineering landscape for 23 years and engaging in recent conversations with colleagues, I can’t help but feel that a specialized Large Language Model (LLM) is poised to power the following programming language revolution.

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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. Personalization has become a cornerstone of delivering tangible benefits to businesses and their customers.