DeepSeek Ends Week-Long Marathon To Disclose AI Model Details

Chinese artificial intelligence (AI) start-up DeepSeek wrapped up a week of revealing technical details about its development of a ChatGPT competitor, which was achieved at a fraction of the typical costs, in a move that is poised to accelerate global advances in the field.Over the past few days, DeepSeek published eight open-source projects on GitHub, the world’s largest open-source community. It was the first time that the firm revealed in detail how it squeezed the best performance from chips in compute, communication and storage, which are the key pillars of model training.DeepSeek’s team of young scientists said they disclosed the company’s battle-tested building blocks to share our small-but-sincere progress with full transparency. DeepSeek has been cheered by global developers, who praised the Chinese company for revealing the techniques it used in building its low-cost, high-performance AI models. Some developers, including the founder of AI development platform Hyperbolic, called DeepSeek the real OpenAI.Despite its name, ChatGPT maker OpenAI has pivoted to a closed-source approach, keeping the specific training methods and compute costs of its models tightly guarded. OpenAI founder and CEO Sam Altman said earlier in February that the company “has been on the wrong side of history” and “needs to figure out a different open-source strategy”.The Microsoft-backed start-up on Thursday launched GPT-4.5, the latest model from its GPT-4 family introduced almost two years ago. The highly anticipated model is the company’s “largest and best model for chat”, according to OpenAI, but it comes at a price. Users pay US$150 per 1 million token output, which is more than 270 times the 55 US cents that DeepSeek charges for its V3 and R1 models during off-peak times.Some AI developers have already made use of DeepSeek’s open-source techniques. Researchers from vLLM, an open-source AI project originating from University of California, Berkeley, said they achieved efficiency gains of up to 16 per cent by integrating one of DeepSeek’s methods.More on DeepSeek’s release of source code and open-source techniquesUPCOMING INTERVIEW ON THE (A)BSOLUTELY (I)NCREDIBLE PODCASTI’m expanding the (A)bsolutely (I)ncredible Podcast to include interviews with thought leaders who are passionately working on revolutionary transformation powered by AI.On the inaugural episode I welcome Theodora Lau, the Founder of Unconventional Ventures, and author of a the new book being published by Palgrave Macmillan.Banking on (Artificial) Intelligence: Navigating the Realities of AI in Financial Services. Theodora has been recognized as one American Banker’s Top 20 most influential women in Fintech, and the host of the amazing, One Vision Podcast.Click Here To Buy Theodora’s Book, Banking On (Artificial) Intelligence!As an author of multiple books on the future of finance this should be an interesting and insightful interview thats available to all our Neural News Network subscribers.Click Here To Buy Theodora’s Book, Banking On (Artificial) Intelligence!If you would like your executive, brand, or product featured on the all new (A)bsolutely (I)ncredible Podcast please message Bruce Burke directly for additional information.Thats all for today, but AI is moving fast - like, comment, and subscribe for more AI news! Thank you for supporting my partners and I — it’s how I keep Neural News free. Get full access to Neural News Network at remunerationlabs.substack.com/subscribe