java-snapshot-testing
ml-engineering
| java-snapshot-testing | ml-engineering | |
|---|---|---|
| 2 | 9 | |
| 110 | 12,268 | |
| 0.0% | - | |
| 4.1 | 9.5 | |
| about 1 month ago | 5 days ago | |
| Java | Python | |
| MIT License | Creative Commons Attribution Share Alike 4.0 |
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java-snapshot-testing
- FLaNK Stack 29 Jan 2024
-
📸 Snapshot Testing with Kotlin
In this PoC I will use origin-energy/java-snapshot-testing and as stated in "the testing framework loved by lazy productive devs" I use it whenever I find myself manually saving test expectations as text files 😅
ml-engineering
- Accelerators
-
Gemma: New Open Models
There is a lot of work to make the actual infrastructure and lower level management of lots and lots of GPUs/TPUs open as well - my team focuses on making the infrastructure bit at least a bit more approachable on GKE and Kubernetes.
https://github.com/GoogleCloudPlatform/ai-on-gke/tree/main
and
https://github.com/google/xpk (a bit more focused on HPC, but includes AI)
and
https://github.com/stas00/ml-engineering (not associated with GKE, but describes training with SLURM)
The actual training is still a bit of a small pool of very experienced people, but it's getting better. And every day serving models gets that much faster - you can often simply draft on Triton and TensorRT-LLM or vLLM and see significant wins month to month.
- FLaNK Stack 29 Jan 2024
-
ML Engineering Online Book
OK, the pdf is ready now: https://github.com/stas00/ml-engineering#pdf-version
-
Self train a super tiny model recommendations
this might be interesting: https://github.com/stas00/ml-engineering/blob/master/transformers/make-tiny-models.md
- The AI Battlefield Engineering – What You Need to Know
- Machine Learning Engineering Guides and Tools
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AtomGPT - ä¸è‹±æ–‡é¢„è®ç»ƒå¤§æ¨¡åž‹ï¼Œç›®æ ‡ä¸ŽChatGPT的水平一致