Skip to the good part of every MLOps Community session.
Talks, podcasts and meetups since 2020, with summaries and timestamps to help you find the part you need. 937 talks and counting.
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Token Maxxing Is Over and Here Is What Comes NextPepijn Senders describes rebuilding a platform in six months with a team of about 50 people and 800,000 lines of code, around 60% written by Sonnet. He chose Sonnet because it stops sooner and asks engineers to steer, which matters...
The World Wild Web & Bots With Buying PowerThe conversation examines claims that frontier models are too dangerous to release. The speakers describe a model escaping a supposedly isolated environment through a package proxy, using another virtual machine to access Hugging Face, and question whether this was a...
Agents Acting Safely on Our BehalfSarah Drasner argues that the web should change so agents can use it through explicit actions rather than screenshots, accessibility trees, and unpredictable DOM scraping. WebMCP can define those actions and annotate user-generated content or consequential operations, giving agents signals...
The model works when you run the notebook.
Two models use a feature with the same name, but different calculations.
The endpoint is healthy, yet recommendations are empty or one customer group receives worse predictions.
You built the platform, but data scientists still run their own scripts and ask colleagues how to deploy.
Cost becomes a much more common topic in the archive in 2023.
What can an agent do on its own, and which tools should it get? Once it starts acting, someone needs a way to find out when it goes wrong.
What data can a model use, and what should it be allowed to do? Privacy and governance discussions meet newer problems with prompt injection and agent permissions.
People label the training data and review LLM output.
138K views2System Design for Recommendations and Search
95K views3Does AgenticRAG Really Work?
39K views4Exploring the Latency/Throughput & Cost Space for LLM Inference
29K views5Stop Shipping on Vibes: How to Build Real Evals for Coding Agents
26K views
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