AtomGPT
ml-engineering
| AtomGPT | ml-engineering | |
|---|---|---|
| 1 | 9 | |
| 189 | 10,032 | |
| - | - | |
| 10.0 | 9.7 | |
| 10 months ago | 23 days ago | |
| Python | Python | |
| Apache License 2.0 | Creative Commons Attribution Share Alike 4.0 |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
AtomGPT
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
What are some alternatives?
realtime-bakllava - llama.cpp with BakLLaVA model describes what does it see
slurm-mail - Slurm-Mail is a drop in replacement for Slurm's e-mails to give users much more information about their jobs compared to the standard Slurm e-mails.
vllm - A high-throughput and memory-efficient inference and serving engine for LLMs
peft - 🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
chatgpt-extractive-shortener - Shortens a paragraph of text with ChatGPT, using successive rounds of word-level extractive summarization.
deeplake - Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
GoLLIE - Guideline following Large Language Model for Information Extraction
pinferencia - Python + Inference - Model Deployment library in Python. Simplest model inference server ever.
safe-rlhf - Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback
haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
ray-llm - RayLLM - LLMs on Ray
deephyper - DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks