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# mlops

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Jun 23

Never lose a training run again: a checkpoint-and-resume playbook for ephemeral GPUs

#machinelearning #python #mlops #learning

6 min read

Jun 24

Stop building custom wrappers for your ML models.

#ai #mlops #python #productivity

4 min read

Jun 24

Using the channels-last memory format reduced the latency of our conversation backbone by 22%

#pytorch #computervision #machinelearning #mlops

4 min read

Jun 24

Machine learning in production: the model is the easy part

#ai #machinelearning #mlops

3 min read

Fernando Azevedo

Jun 23

ML Observability on EKS: Logs, Metrics and Tracing Head-to-Head

#dataplatforms #eks #mlops #observability

11 min read

Jun 23

Benchmarking 5 LLM providers on one eval set, no SDK per vendor

#machinelearning #llm #mlops #devops

4 min read

SHIVAM UPADHYAY

Jun 23

Building a Self-Hosted MLOps Platform from Scratch with FastAPI, PostgreSQL, GCS, and Docker

#ai #devops #python #mlops

4 min read

Jun 23

temperature=0 didn't make our LLM evals reproducible

#machinelearning #llm #mlops #infrastructure

4 min read

Jun 23

The SDXL VAE overflow that decoded black images in fp16

#pytorch #computervision #machinelearning #mlops

4 min read

Jun 22

Harvesting a regression test set from gateway logs with a plugin

#mlops #llm #machinelearning #infrastructure

4 min read

Jun 22

Semantic caching our flaky-test summariser: 58% fewer LLM calls

#sre #devops #llm #mlops

4 min read

Suman Nath

Jun 21

If a 270M Model Already Worked, Why Did I Fine-Tune a 7B One?

#machinelearning #llm #mlops #ai

3 min read

Gabriel Henrique

Jun 20

Data Contracts in Production: Stop Trusting Your Upstream Sources

#dataengineering #python #data #mlops

5 min read

Jun 19

Perplexity held flat after INT4. Task accuracy dropped 7 points.

#machinelearning #llm #mlops #pytorch

4 min read

Jun 19

The seam our tiled upscaler left on every 4K product render

#mlops #computervision #pytorch #machinelearning

4 min read

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