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Parag Ekbote PRO

AINovice2005
ginigen-ai's profile picture davidberenstein1957's profile picture Mi6paulino's profile picture
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https://paragekbote.github.io/

AI & ML interests

ML Engineer passionate about taking models from research to production. 1 year supporting tech startups. Active OSS contributor.

Recent Activity

posted an update about 4 hours ago
Pro tip2: You can treat HF datasets as versioned repos by pinning a specific revision (tag, branch or commit) when downloading files. 🧠 This ensures your data processing pipelines always use the exact dataset state before passing the data to the model. It enables reproducible pipelines and allows for reliable outputs of your ML system. ```python from huggingface_hub import hf_hub_download data_path = hf_hub_download( repo_id="lysandre/arxiv-nlp", filename="train.parquet", repo_type="dataset", revision="877b84a8f93f2d619faa2a6e514a32beef88ab0a" ) ```
upvoted an article about 8 hours ago
Ulysses Sequence Parallelism: Training with Million-Token Contexts
reacted to sdiazlor's post with 🚀 about 8 hours ago
More OSS than ever with the latest pruna 0.3.2 release. It extends existing algorithm families, such as compilers, kernels, and pruners, and adds new ones, including decoders, distillers, enhancers, and recoverers. But it's not only a collection of algorithms; instead, you can easily combine them to get the biggest efficiency win. Read the full blog here: https://huggingface.co/blog/PrunaAI/pruna-0-3-2-open-source-optimization-algorithms
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