Artificial Intelligence #265
Andriy Burkov
PhD in AI, ML at TalentNeuron, author of ?? The Hundred-Page Language Models Book and ?? The Hundred-Page Machine Learning Book
Hey, in this issue: How much energy will AI really consume?; how AI can achieve human-level intelligence; chatbots are cheating on their benchmark tests; three AI-powered steps to faster, smarter peer review; sliding window attention training for efficient large language models; AI biology model writes DNA on demand; and more.
The Hundred-Page Language Models Book by Andriy Burkov, the follow-up to his bestselling The Hundred-Page Machine Learning Book (now in 12 languages), offers a concise yet thorough journey from language modeling fundamentals to the cutting edge of modern Large Language Models (LLMs). Within Andriy's famous "hundred-page" format, readers will master both theoretical concepts and practical implementations, making it an invaluable resource for developers, data scientists, and machine learning engineers.
More than 850,000 subscribers are reading this newsletter. If you are building an AI or a data product or service, you can become a sponsor of one of the future newsletter issues and get your business featured in the newsletter. Feel free to reach out to [email protected] for more details on sponsorships.
Enjoy the newsletter? Please help us make it bigger and better by sharing it with colleagues and friends.
Advisor for Strategic Growth ?? TableNetwork Business Community Leader ?? Speaker - Business and Property ?? Mentor ??
1 天前Andriy Burkov, AI is evolving at an incredible pace, and discussions like these are crucial for understanding its impact. Looking forward to diving into these topics!?
Operations & AI - McKinsey & Company | INSEAD
1 天前That article in the newsletter, “Chatbots Are Cheating on Their Benchmark Tests,” is really intriguing. It points out how chatbots get tested on the same questions they were trained o, yet that’s similar to how many of us learn skills in real life. Even if progress might be slowing, I’m excited about what we can achieve right now with the technology we already have
Your insights into artificial intelligence are always enlightening. Thanks for sharing your expertise!
Transforming Data into AI-Driven Insights | AI & Cloud Technology Advocate | Account Director @ Oracle | Life Sciences Industry Leader | Social Sales Strategist & Coach
2 天前Another insightful edition of Artificial Intelligence #265—covering some of the most pressing topics in AI today. AI chatbots and benchmark tests – As models become more sophisticated, ensuring fair and meaningful evaluation is more critical than ever. AI-powered peer review – A promising step toward improving the speed and quality of scientific research. Energy consumption of AI – A complex but essential discussion, balancing innovation with sustainability. Advancements in AI biology – Writing DNA on demand could unlock groundbreaking possibilities in medicine and biotechnology. Andriy Burkov’s The Hundred-Page Language Models Book looks like another must-read, providing a concise yet deep dive into the evolving landscape of LLMs. Looking forward to seeing how these developments unfold. Thanks for sharing this great resource, Andriy Burkov!
? 75K Subs to Newsletter | Solving Product problems through Data and AI
2 天前?? This edition sounds fascinating! I'm particularly intrigued by AI's energy consumption and sliding window attention training. ?? Can't wait to dive in! Keep up the amazing work! ??