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Have we reached the end of ‘too expensive’ for enterprise software?

CIO

Generative artificial intelligence ( genAI ) and in particular large language models ( LLMs ) are changing the way companies develop and deliver software. These autoregressive models can ultimately process anything that can be easily broken down into tokens: image, video, sound and even proteins.

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Google outlines new methods for training robots with video and large language models

TechCrunch

2024 is going to be a huge year for the cross-section of generative AI/large foundational models and robotics. There’s a lot of excitement swirling around the potential for various applications, ranging from learning to product design. In a blog post […] © 2023 TechCrunch.

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3 hard truths about GenAI’s large language models

CIO

During the last year, I’ve been fascinated to see new developments emerge in generative AI large language models (LLMs). Beyond the hype, generative AI is truly a watershed moment for technology and its role in our world. Bias By their very nature, generative AI LLMs are inherently biased.

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Build a video insights and summarization engine using generative AI with Amazon Bedrock

AWS Machine Learning - AI

Professionals in a wide variety of industries have adopted digital video conferencing tools as part of their regular meetings with suppliers, colleagues, and customers. Many commercial generative AI solutions available are expensive and require user-based licenses.

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5 Things To Look For When Evaluating AI Startups

Crunchbase News

By Bob Ma According to a report by McKinsey , generative AI could have an economic impact of $2.6 Bob Ma of Copec Wind Ventures AI’s eye-popping potential has given rise to numerous enterprise generative AI startups focused on applying large language model technology to the enterprise context.

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Exploring the pros and cons of cloud-based large language models

CIO

In light of this, developer teams are beginning to turn to AI-enabled tools like large language models (LLMs) to simplify and automate tasks. The language model generates text that is not logically consistent with the input but still sounds plausible to a human reader.

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How DPG Media uses Amazon Bedrock and Amazon Transcribe to enhance video metadata with AI-powered pipelines

AWS Machine Learning - AI

With a growing library of long-form video content, DPG Media recognizes the importance of efficiently managing and enhancing video metadata such as actor information, genre, summary of episodes, the mood of the video, and more. DPG Media’s VTM GO platform alone offers over 500 days of non-stop content.

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