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About this Podcast
Intended for architects and senior developers.
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Namee Oberst on Small Language Models and How They are Enabling AI-Powered PCs
In this podcast, Namee Oberst, co-founder of AI Bloks, the company behind AI framework LLMWare, discusses the recent trend in Generative AI and Language Model technologies, the Small Language Models (SLMs) and how these smaller models are empowering the edge computing on devices and enabling AI-powered PC's.
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Generally AI - Season 2 - Episode 4: Coordinate Systems in AI and the Physical World
In this podcast, Roland Meertens and Anthony Alford discuss coordinate systems, both in AI and the physical world. They explore how a library's classification systems mirror the concept of embeddings in AI, where documents are organized based on similarity and how AI tools like RAG use vector spaces to efficiently retrieve the right content.
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Generally AI - Season 2 - Episode 2: Fantastic Algorithms and Where to Find Them
Roland Meertens and Anthony Alford discuss their favorite algorithms, starting with the etymology of the word "algorithm". Meertens introduces the concept of probabilistic counting, focusing on the HyperLogLog algorithm, which can be used to estimate the count of unique items. He shares his own personal algorithm for estimating how many people he talks to at conferences.
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AI, Rust, and Resilience: Key Software Trends Seen by the QCon San Francisco 2024 Program Committee
QCon conferences cover emerging trends in software, and this episode features members of the QCon San Francisco 2024 programming committee discussing those trends selected to be the focus of this year’s QCon San Francisco. This discussion is similar to InfoQ trends reports, with expert practitioners highlighting the technologies and practices that they feel deserve attention.
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Generally AI - Season 2 - Episode 1: Generative AI and Creativity
Hosts Roland Meertens and Anthony Alford discuss how AI is being used to make creativity more accessible. While some Generative AI content lacks variety and artistic depth, there is potential for AI to assist human creators rather than replace them. They also explore the challenge of evaluating generative AI models.
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