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Human flourishing in the Age of AI

Flipboard

The explosion of AI over the past two years, particularly generative AI and large language models (LLMs), has Challenges, strategies, & opportunities.

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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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Democratizing AI: Why It’s Not Just a Developer’s Game Anymore

ODSC - Open Data Science

Now, with the advent of large language models (LLMs) like GPT-4, Claude, Gemini, and Mistral, were entering a world where human language is becoming the new interface. We can instruct machines with prompts and receive intelligent, contextual responses.

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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. Figure 1: Mental model of an AI system (cf.

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Human flourishing in the Age of AI

Flipboard

The explosion of AI over the past two years, particularly generative AI and large language models (LLMs), has Challenges, strategies, & opportunities.

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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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Mastering AI Art: A Concise Guide to Midjourney and Prompt Engineering

Unite.AI

Midjourney's inner workings are largely undisclosed. Nevertheless, it's evident that it uses text-to-image generation from two relatively novel machine-learning technologies: large language models and diffusion models.