InfoQ Homepage Large language models Content on InfoQ
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If LLMs Do the Easy Programming Tasks - How are Junior Developers Trained? What Have We Done?
In this podcast Michael Stiefel spoke to Anthony Alford and Roland Meertens about the future of software development and the training of new developers, in a world where Large Language Models heavily contribute to software development.
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InfoQ Architecture and Design Trends in 2024
The panel discussion in this episode is around the annual InfoQ Architecture and Design Trends Report. InfoQ trends reports provide the InfoQ readers with a high-level overview of the topics to pay attention to this year, and also help the editorial team focus on innovative technologies across all the content on InfoQ.
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Sam Partee on Retrieval Augmented Generation (RAG)
In this podcast, Sam Partee shares his insights on Redis' vector database offering, different approaches to embeddings, how to enhance large language models by adding a search component for retrieval augmented generation, and the use of hybrid search in Redis.
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Generally AI Episode 1: Large Language Models
In this podcast episode of Generally AI, Roland Meertens and Anthony Alford explore the world of large language models, focusing on their vulnerabilities and security measures. Additionally, they delve into the history of the transformer architecture and Google's role in its development, along with the basics of LLM inference.
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2023 Year in Review: AI/LLMs, Tech Leadership, Platform Engineering, and Architecture + Data
In this special year-end wrap-up podcast Thomas Betts, Wes Reisz, Shane Hastie, Srini Penchikala, and Daniel Bryant reflect on technology trends in 2023 and discuss what they hope to see in 2024. Topics explored included: the use of AI and LLMs within software delivery, the changing role of technical leadership, and the increasing integration of software architecture and data engineering.
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Making Code Explain Itself – Observability Through AI
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Dr. Elizabeth Lawler, the founder and CEO of AppMap, about observability in the age of AI, creativity in programming and problems developers face on a day-to-day basis.