Mlops

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Marco Rinaldi

Jun 17

Winograd convolutions cost us 2 mAP and we didn't notice for a month

#computervision #pytorch #machinelearning #mlops

4 min read

Todd Linnertz

Jun 17

What DevOps Taught Me About AI Governance

#devops #aigovernance #platformengineering #mlops

4 min read

Rajiv Sambasivan

Jun 17

From ML Tooling to Analytical Governance: Recent Updates to KMDS

#ai #productivity #python #mlops

3 min read

Sahajmeet Kaur

Jun 16

Why multi-agent orchestration is harder than it looks

#ai #agents #mlops #llm

7 min read

SyncSoft.AI

Jun 16

RLAIF Is Eating RLHF — Here Are the Four Places Human Feedback Still Wins

#ai #machinelearning #llm #mlops

6 min read

Marcus Chen

Jun 15

A 9-point eval gain vanished when we deduped train against test

#machinelearning #mlops #llm #pytorch

4 min read

Ingero Team

Jun 12

nvidia-smi Reports 97% Utilization While the GPU Sits Idle

#gpu #ebpf #observability #mlops

6 min read

Pawan Kumar

Jun 12

OpenAI Already Told Us the Kubernetes Scaling Story, Most People Just Did Not Read It Closely

#kubernetes #devops #ai #mlops

10 min read

Alex Bogle

Jun 11

I Processed 2.4 Billion Tokens Across 52 AI Models for $0.52. Here's the Full Breakdown.

#agenticai #openrouter #mlops #costoptimization

3 min read

Tech_Nuggets

Jun 11

Quantization formats compared: GGUF vs GPTQ vs AWQ vs NF4

#llm #quantization #mlops #tutorial

7 min read

Alex Bogle

Jun 10

I Built a Production RAG System on My M1 Mac for $0

#rag #mlops #ai #python

3 min read

Haji Rufai

Jun 10

I built a feature store in pure Python to finally understand the point-in-time join

#python #machinelearning #dataengineering #mlops

6 min read

Shoaibali Mir

Jun 6

Four Models in One Training Loop: Architecting SDAR on AWS (Before Renting a Single GPU)

#aws #machinelearning #reinforcementlearning #mlops

5 min read

박준희

Jun 6

Gemini Model Management: Ending Inefficiency! The Secret to 3x Faster Cost Tracking with Model Registry

#gemini #modelregistry #ai #mlops

3 min read

Jasmine Park

Jun 4

Per-project LLM cost attribution with OTel spans: the wiring

#devops #observability #opentelemetry #mlops

6 min read

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DEV Community

# mlops

Winograd convolutions cost us 2 mAP and we didn't notice for a month

What DevOps Taught Me About AI Governance

From ML Tooling to Analytical Governance: Recent Updates to KMDS

Why multi-agent orchestration is harder than it looks

RLAIF Is Eating RLHF — Here Are the Four Places Human Feedback Still Wins

A 9-point eval gain vanished when we deduped train against test

nvidia-smi Reports 97% Utilization While the GPU Sits Idle

OpenAI Already Told Us the Kubernetes Scaling Story, Most People Just Did Not Read It Closely

I Processed 2.4 Billion Tokens Across 52 AI Models for $0.52. Here's the Full Breakdown.

Quantization formats compared: GGUF vs GPTQ vs AWQ vs NF4

I Built a Production RAG System on My M1 Mac for $0

I built a feature store in pure Python to finally understand the point-in-time join

Four Models in One Training Loop: Architecting SDAR on AWS (Before Renting a Single GPU)

Gemini Model Management: Ending Inefficiency! The Secret to 3x Faster Cost Tracking with Model Registry

Per-project LLM cost attribution with OTel spans: the wiring