InfoQ Homepage Generative AI Content on InfoQ
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 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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A Primer on AI for Architects with Anthony Alford
This episode provides an overview of the real-world technologies involved in the umbrella phrase Artificial Intelligence. Anthony Alford explains just enough about machine learning, large language models, retrieval-augmented generation, and other AI terms which today’s software architects need to be able to discuss.
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AI, ML, and Data Engineering InfoQ Trends Report 2024
One of the regular features of InfoQ are the trends reports, which each focus on a different aspect of software development. These reports provide the InfoQ audience with a high-level overview of the topics to pay attention to this year. In this episode, members of the InfoQ editorial staff and friends of InfoQ are discussing the current trends in the domain of AI, ML and Data Engineering.
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