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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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Developer Upskilling and Generative AI with Hywel Carver and Suhail Patel
In this episode, Nsikan Essien talks with Hywel Carver and Suhail Patel about developer upskilling and generative AI. Together they try to describe: the software engineer’s learning journey, the ways current generative AI technologies could help or hinder it, and what the role of the software engineer becomes with powerful AI technologies
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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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Shreya Rajpal on Guardrails for Large Language Models
We are talking with Shreya Rajpal, CEO and Cofounder of Guardrails AI. Shreya shares her insights on building guardrails for large language model (LLM) applications. Rajpal discusses how Guardrails AI assesses the reliability and safety of LLM applications, ensuring any input sent to the model is functionally correct and providing a framework for developers to create their own custom validators.
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InfoQ Software Architecture & Design Trends 2023
In this episode of the podcast, members of the InfoQ editorial staff will be discussing the current trends in software architecture and design, as part of the process to create our annual trends report. These reports provide InfoQ readers with a high-level overview of the topics to pay attention to, and also help the editorial team focus on innovative technologies.