Mlops

👋 Sign in for the ability to sort posts by relevant, latest, or top.

Scarlett Attensil for LaunchDarkly

Jun 2

MLOps Lifecycle: Stages, Workflow, and Best Practices

#ai #mlops #machinelearning #tutorial

23 min read

Marcus Chen

Jun 2

We shipped a model on a 2-point eval win. It was noise.

#machinelearning #mlops #llm

4 min read

Elise Moreau

Jun 2

Our LiDAR detector spent 40% of its time in voxelization, not convs

#llm #machinelearning #computervision #mlops

4 min read

Marcus Chen

Jun 1

Provider drift broke our regression evals. We pinned versions through Bifrost.

#mlops #llm #machinelearning #sre

4 min read

Elise Moreau

Jun 1

Centralising tool access for our prompt-assembly agent with Bifrost MCP gateway

#llm #machinelearning #computervision #mlops

4 min read

Scarlett Attensil for LaunchDarkly

Jun 2

AI Experimentation Best Practices: From Evaluation to Safe Production Rollouts

#ai #llm #testing #mlops

19 min read

Marco Rinaldi

Jun 1

Our event-camera detector lost 6 mAP to a badly chosen accumulation window

#computervision #machinelearning #pytorch #mlops

4 min read

Marcus Chen

Jun 1

Aggregate eval scores hid a 14-point regression in one user segment

#machinelearning #mlops #llm

4 min read

Anil Nayak

Jun 1

Building Nexus: An Enterprise-Grade RAG & LLMOps Engine from Scratch

#ai #webdev #mlops #rag

4 min read

Nasit Sony

May 29

I Built a Complete AI Infrastructure Stack from Scratch — Here's What I Learned

#distributedsystems #mlops #cpp #go

6 min read

Siddhartha Reddy

May 29

Handling Failure: The Most Important Part of AI Systems

#ai #machinelearning #systemdesign #mlops

2 min read

sk8ordie84

May 29

Model cards vs pre-registration: what counts as evidence under the EU AI Act

#machinelearning #compliance #ai #mlops

4 min read

Marco Rinaldi

May 28

QAT vs PTQ on our edge vision model: 6 months of A/B data

#machinelearning #computervision #mlops #pytorch

4 min read

Marco Rinaldi

May 29

Structured channel pruning got our detector under 12ms on a Jetson

#computervision #pytorch #machinelearning #mlops

4 min read

Marcus Chen

May 29

Serving 40 LoRA adapters on one base model: the throughput we got

#machinelearning #llm #pytorch #mlops

4 min read

👋 Sign in for the ability to sort posts by relevant, latest, or top.

DEV Community

# mlops

MLOps Lifecycle: Stages, Workflow, and Best Practices

We shipped a model on a 2-point eval win. It was noise.

Our LiDAR detector spent 40% of its time in voxelization, not convs

Provider drift broke our regression evals. We pinned versions through Bifrost.

Centralising tool access for our prompt-assembly agent with Bifrost MCP gateway

AI Experimentation Best Practices: From Evaluation to Safe Production Rollouts

Our event-camera detector lost 6 mAP to a badly chosen accumulation window

Aggregate eval scores hid a 14-point regression in one user segment

Building Nexus: An Enterprise-Grade RAG & LLMOps Engine from Scratch

I Built a Complete AI Infrastructure Stack from Scratch — Here's What I Learned

Handling Failure: The Most Important Part of AI Systems

Model cards vs pre-registration: what counts as evidence under the EU AI Act

QAT vs PTQ on our edge vision model: 6 months of A/B data

Structured channel pruning got our detector under 12ms on a Jetson

Serving 40 LoRA adapters on one base model: the throughput we got