Machine learning and artificial intelligence interviews. Released as audio and video.
Episodes
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7 May 2026
Distributional employs post-production analytics, unsupervised learning, and LLMs to analyze agent traces, detect patterns and anti-patterns like hallucinations, address distributional shifts, and generate actionable insights for AI system refinement in security and enterprise settings, emphasizing adaptive analytics and domain expertise.
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30 Apr 2026
AI inference deployment is accelerating, emphasizing inference engineering's critical role in optimizing generative models with advanced hardware and complex systems, while addressing challenges like latency, scalability, and modality-specific optimizations amid evolving industry trends and fragmented yet open-source-driven markets.
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16 Apr 2026
Capital One's *Chat Concierge* multi-agentic AI system streamlines car-buying through self-reflection, real-time APIs, and LLM-driven workflows, addressing enterprise AI challenges like governance, scalability, and legacy system integration while prioritizing compliance, observability, and flexible platform adoption.
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26 Mar 2026
The text traces generative models' evolution from early image generation to diffusion models' stability, highlights Mercury II's advancements in speed and efficiency, and addresses ongoing challenges in scalability, multimodal integration, and future research in controllability and cross-modal unification.
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10 Mar 2026
AI integration into software development is transforming code creation, maintenance, and optimization, with significant implications for technical and business outcomes.
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26 Feb 2026
Large Language Models (LLMs) have made significant advancements in 2026, with improved reasoning capabilities and integration of external tools to enhance accuracy, reduce hallucinations, and expand practical applications.
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29 Jan 2026
Language models can struggle to generate diverse responses, despite adjustments, and improving their performance requires addressing data quality and training techniques.
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8 Jan 2026
Advances in legged robotics are hindered by challenges such as sim-to-real translation, perception, and reliability in complex environments.
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