ml-engineering
reor
ml-engineering | reor | |
---|---|---|
9 | 7 | |
9,890 | 5,722 | |
- | 31.9% | |
9.7 | 9.9 | |
8 days ago | 7 days ago | |
Python | TypeScript | |
Creative Commons Attribution Share Alike 4.0 | GNU Affero General Public License v3.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
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
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ML Engineering Online Book
OK, the pdf is ready now: https://github.com/stas00/ml-engineering#pdf-version
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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
reor
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Ask HN: Has Anyone Trained a personal LLM using their personal notes?
[4] https://github.com/reorproject/reor
- FLaNK Stack Weekly 19 Feb 2024
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Show HN: Reor – An AI note-taking app that runs models locally
Seems promising, but I couldn't get it to work at all. Seems like I'm not the only one having issues: https://github.com/reorproject/reor/issues
- FLaNK Stack 29 Jan 2024
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Went down the rabbit hole of 100% local RAG, it works but are there better options?
I am working on local RAG that encapsulates all the embedding & llm logic inside of an electron app. It is meant to be kind of a writing/personal knowledge management app powered by local models: https://github.com/reorproject/reor
What are some alternatives?
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.
pong-wars
peft - 🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
obsidian-releases - Community plugins list, theme list, and releases of Obsidian.
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
Deep_Object_Pose - Deep Object Pose Estimation (DOPE) – ROS inference (CoRL 2018)
pinferencia - Python + Inference - Model Deployment library in Python. Simplest model inference server ever.
get-the-news-rss-atom-feed-summary - Get a summary of the most recent news from an RSS or Atom feed using Amazon Bedrock.
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.
java-snapshot-testing - Facebook style snapshot testing for JAVA Tests
AtomGPT - 中英文预训练大模型,目标与ChatGPT的水平一致
llm-classifier - Classify data instantly using an LLM