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 | 29 | Founded | 3 months ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | Tech NewsNewsTechnology | |||
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Latest Episodes
In this episode of Memriq Inference Digest — Engineering Edition, we dive into the transformational role of engineers in the age of the agentic enterprise. Discover how continuous improvement at digital speed reshapes engineering from shipping code t... more
Unlock the potential of Anthropic's Claude Opus 4.6, a breakthrough AI model designed for deep reasoning and multi-agent orchestration with a massive one million token context window. Discover how this update transforms agent stack design by introduc... more
Explore Moltbook, the groundbreaking AI social network where autonomous agents debate, self-organize, and evolve their own culture — revealing critical insights for developers building agentic systems. In this episode, we unpack Moltbook’s architectu... more
UI testing has long been a pain point for engineering teams—expensive to write, brittle, and hard to maintain. In this episode of Memriq Inference Digest - Edition, we explore how AI-powered agents are transforming end-to-end (E2E) click-through test... more
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
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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 3 months ago and published 29 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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