Applied AI
MLOps & LLMOps
Model deployment, experiment tracking, monitoring, inference optimisation and AI pipelines
Skills in this topic
5 skills — Sign in to track your progress
Experiment Tracking
beginner
Log experiments with MLflow or Weights & Biases
Model Deployment
intermediate
Wrap a model in a FastAPI endpoint
Model Monitoring
intermediate
Set up drift detection with Evidently AI
Feature Stores
advanced
Define feature views in Feast
LLMOps
advanced
Set up LangSmith or Langfuse for LLM tracing
The Register
🏭 MLOps & LLMOps
2mo ago
The price is wrong: AI cost calculation has to consider task completion rates, not just token costs
Cheap can be expensive
The Register
🏭 MLOps & LLMOps
4mo ago
AI code accelerates production failures and spending, study finds
CloudBees survey exposes verification gap
The Next Web AI
🏭 MLOps & LLMOps
⚡ AI Lesson
4mo ago
White Circle raises $11m Seed for production AI control platform
Senior figures from OpenAI, Anthropic, DeepMind, Hugging Face, Mistral, Datadog and Sentry have backed the Seed. The platform claims more than one billion API r
The Register
🏭 MLOps & LLMOps
4mo ago
Claude hitches ride on SpaceX's datacenter capacity
Compute from Colossus leads to relaxed limits
Hacker News · levkk
🏭 MLOps & LLMOps
⚡ AI Lesson
3y ago
Machine learning in the database is 40 times faster than in a microservice
We ran a benchmark comparing a typical Python microservice with PostgresML and got some exciting results: https://postgresml.org/blog/postgr
Hacker News · dzwiedziu
🏭 MLOps & LLMOps
⚡ AI Lesson
3y ago
MLOps is part of DevOps. Not a fork – my thoughts on THE MLOps paper
MLOps is part of DevOps. Not a fork – my thoughts on THE MLOps paper. 2 comments, 19 points on Hacker News.
DeepCamp AI