Podcasts

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.

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.

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

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.

Using ChatGPT to Search Enterprise Data with Pamela Fox

In this episode, Thomas Betts talks with Pamela Fox, a cloud advocate in Python at Microsoft. They discuss several ChatGPT sample apps that Fox helps maintain. These include a very popular integration of ChatGPT with Azure OpenAI and Cognitive Search for querying enterprise data with a chat interface. Fox also covers some best practices for getting started with ChatGPT apps.