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Raghav Ram: 40 LLMs, One Answer Jim Griffin
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Michael Koved: The Economics of Generative AI Jim Griffin
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Nachiket Mehta: Inside the Data Mesh at Wayfair Jim Griffin
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Zach Elewitz: The Leak Stops Here Jim Griffin
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Pavel Iakubovskii: Kaggle Master at Hugging Face Jim Griffin
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Max Mozgovoy: the End of Traditional UX Research? Jim Griffin
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Marwa Kechaou: A Keen Eye for Computer Vision Jim Griffin
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Iqbal Hossain: The UofAZ Knowledge Map Story Jim Griffin
Last week another new AI-generated reporter took the stage on a top television channel, this time in Thailand. The avatar’s name is Natcha and she’s described in the press release as having been created from “the most advanced algorithms.” In this installment, we take a careful look at the quality […]
A review of six months’ worth of developer posts on the OpenAI Developer Community page shows a range of markups from a low(!!) of 100% to a high of 100x cost. After exploring how those markups get determined, this video moves on to an even harder problem. As one developer […]
This video covers some of the emerging tools and platforms for tuning and comparative testing of Large Language Models, including Vellum.ai, Gradio, Lambda Labs and Paperspace. “No Free Lunch” is a reference to a classic paper by computer scientist and statistician, David Wolpert, who used that phrase in a Theorem […]
OpenAI created quite a stir with its new text-to-video model, Sora, which I’ll demo for you in this video. You’ll quickly understand why filmmaker Tyler Perry decided to scrap an $800 million expansion of his 330-acre film studio after he saw what you’ll see here. As we watch the video […]
This video describes an experiment where a Large-Language Model was convinced by a series of prompts that it should not tell the truth, and so it intentionally gave false information. That example is explored against a backdrop of some of the more famous cases where AI has deceived some of […]
An interesting paper about Societies of the Mind won a top award at the last NeurIPS conference. It describes a system where different agents are created inside a neural network. The agents debate with each other, or collaborate in other ways using natural language in order to solve problems. The […]
Let’s say you’re thinking about doing a pilot for your company using generative AI, and your focus is large language models to generate text – things like answers or advice or summaries — and for starters, you’re looking Microsoft OpenAI vs Amazon vs Google. Of these, which one would be […]
Stable Code 3B is the latest entrant in the field of text-to-code and has been declared in the technology press as a new leader. This video compares the mostly positive feedback from bloggers and journalists to the mostly skeptical feedback from the programmer community on forums like Y-Combinator. In fact, […]
OpenAI just announced two new models with better performance at a much lower cost. This video breaks down everything you need to know: What the new models do, how they work, why they matter, and the overall impact of the announcement. Stay ahead of the curve in AI with this […]
