Artificial Intelligence #238
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Artificial Intelligence #238

Hey, in this issue: embracing generative AI at work; a robot to beat humans at table tennis; people game AIs via game theory; faster open-source LLM serving; flexibility of PyTorch with the performance of FlashAttention; quantization-aware training for LLMs; and more.

The sponsors of this issue are AtScale and Activeloop.

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Rushi Prajapati

Al Technology - Delivery & Support Engineer @ Sahana System Limited || Advisory Board Member IEEE SOU SB || Data Analytics || Computer Vision || Natural Language Processing || Reinforcement Learning

1 个月

Andriy Burkov , your article is a great compilation of the hottest trends! Particularly interesting is the research on using generative AI for work applications, something that's rapidly transforming various industries. Beyond the article, there's a fascinating project by OpenAI called Jurassic-1 Jumbo, a 178B parameter LLM pushing the boundaries of open-source large language models. Keep up the great content!

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Alexandru Armasu

Founder & CEO, Group 8 Security Solutions Inc. DBA Machine Learning Intelligence

1 个月

Loved the article.

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Rafal Klejnowski

Music and Business / Baltic region ?? Polska ?? and the rest | Sales Engineer | Freelance Investor | Independent Financial Advisor | Project Lead | Sales Specialist | Real Estate Broker | Experienced Construction Worker

1 个月

Embracing generative AI and advanced technologies discussed in this week’s edition of your AI newsletter can have significant economic impacts. Implementing generative AI in the workplace can streamline operations, boost productivity, and reduce costs by automating complex tasks. Innovations like robots excelling in table tennis and game theory insights into AI interactions may not directly impact economic metrics but highlight advancements that could lead to new market opportunities and efficiencies. Faster open-source LLM serving and improvements like quantization-aware training for LLMs can reduce infrastructure costs and increase accessibility to powerful AI tools. Moreover, combining PyTorch’s flexibility with FlashAttention’s performance could lead to more cost-effective and scalable AI solutions, enhancing competitive advantage and driving economic growth.

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Rohail Khan

Deputy Manager Accounts at TUSDEC

1 个月

Impressive

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Keerthi Gaddam

Experienced GIS Analyst & Urban Planner | Expert in GIS Development, Sustainable Urban Planning, and Stakeholder Engagement | Enhancing City Infrastructure with Advanced Spatial Analysis

1 个月

Thanks for the update! The advancements in generative AI, from LLM performance improvements to AI-driven robotics and game theory applications, are fascinating. The sponsorship opportunities with AtScale and Activeloop sound intriguing as well.

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