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MLOps.community · Technology

AAIF Live

The Agentic AI Foundation is where the agentic stack is being built. Come join the ride.

Episodes

Building a Python-Centric Feature Platform to Power Production AI Applications // Matt Bleifer

Graduating from Proprietary to Open Source Models in Production // Philip Kiely // AI in Production

Data Engineering in the Federal Sector // Shane Morris // MLOps podcast #223

The State of Production Machine Learning in 2024 // Alejandro Saucedo // AI in Production

From Research to Production: Fine-Tuning & Aligning LLMs // Philipp Schmid // AI in Production

Vision Pipelines in Production: Serving & Optimisations // Biswaroop Bhattacharjee // AI in Prod

Navigating via Retrieval Evaluation to Demystify LLM Wonderland // Atita Arora // AI in Production

Charting LLMOps Odyssey // Yinxi Zhang @ Databricks // AI in Production Talk

Considerations of Data Quality // Anu Arora and Anass Bensrhir // MLOps podcast #216 clip

What Business Stakeholders Want to See from the ML Teams // Peter Guagenti // MLOps Podcast #222

Designing ML Infra for ML & LLM Use Cases // Amritha Arun Babu & Abhik Choudhury // Podcast #221

Building the Next Generation of Reliable AI // Shreya Rajpal // AI in Production Keynote

Anatomy of a Software 3.0 Company // Sarah Guo // AI in Production Keynote

Expressing Data Desires through Vectors // Daniel Svonava // MLOps podcast #214 clip

4 Years of the MLOps Community // Demetrios Brinkmann // MLOps Podcast #220

The Art and Science of Training LLMs // Bandish Shah and Davis Blalock // MLOps Podcast #219

Hypothesis Testing and Stakeholder Collaboration // Alexandra Diem // MLOps Podcast #212 clip

Security and Privacy // Day 2 Panel 1 // AI in Production Conference

Model Merging and Mixtures of Experts // Maxime Labonne // AI in Production Conference

[Exclusive] Zilliz Roundtable // Why Purpose-built Vector Databases Matter for Your Use Case

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