The Memriq AI Inference Brief – Engineering Edition
Keith BourneThe Memriq AI Inference Brief – Engineering Edition is a weekly deep dive into the technical guts of modern AI systems: retrieval-augmented generation (RAG), vector databases, knowledge graphs, agents, memory systems, and more. A rotating panel of AI engineers and data scientists breaks down architectures, frameworks, and patterns from real-world projects so you can ship more intelligent systems, ... more
| Publishes | Daily | Episodes | 25 | Founded | 2 months ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | Tech NewsTechnologyNews | |||
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Latest Episodes
Uncertainty is not just noise—it's the internal state that guides AI decision-making. In this episode of Memriq Inference Digest, we explore belief states, a foundational concept that enables AI systems to represent and reason about incomplete inform... more
Discover how Recursive Language Models (RLMs) are fundamentally changing the way AI systems handle ultra-long contexts and complex reasoning. In this episode, we unpack why RLMs enable models to programmatically query massive corpora—two orders of ma... more
# Evaluating Agentic AI: DeepEval, RAGAS & TruLens Frameworks Compared
In this episode of Memriq Inference Digest - Engineering Edition, we explore the cutting-edge evaluation frameworks designed for agentic AI systems. Dive into the strengths and t... more
Discover how the Model Context Protocol (MCP) is revolutionizing AI systems integration by simplifying complex multi-tool interactions into a scalable, open standard. In this episode, we unpack MCP’s architecture, adoption by industry leaders, and it... more
Unlock the secrets to evaluating Retrieval-Augmented Generation (RAG) pipelines effectively and efficiently with ragas, the open-source framework that’s transforming AI quality assurance. In this episode, we explore how to implement reference-free ev... more
Is agent engineering the next big AI discipline or a repackaged buzzword? In this episode, we cut through the hype to explore what agent engineering really means for business leaders navigating AI adoption. From market growth and real-world impact to... more
Are your AI initiatives stalling in production? This episode uncovers the critical architectural shift brought by the Natural Language Understanding (NLU) layer and why treating AI as just another feature is setting CTOs up for failure. Learn how ret... more
Unlock how Retrieval-Augmented Generation (RAG) enables AI agents to remember, learn, and personalize over time. In this episode, we explore Chapter 17 of Keith Bourne’s "Unlocking Data with Generative AI and RAG," focusing on implementing agentic me... more
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What is This Podcast about and what kind of topics does it cover?
Focusing on the technical aspects of modern AI systems, this podcast explores a variety of advanced topics including retrieval-augmented generation (RAG), vector databases, knowledge graphs, and memory systems. A rotating panel of AI engineers and data scientists dissects key architectures and frameworks, utilizing insights drawn from real-world projects. This content is designed to equip listeners with the knowledge and tools necessary to build and ship more intelligent systems effectively and efficiently. The format likely attracts those keen on staying up-to-date with the evolving technological landscape and innovations in AI.
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this podcast launched 2 months ago and published 25 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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Recent guests on this podcast include:
1. Shahul S
2. Keith Bourne
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