Bhavnick Minhas @minhash
Subagent Spawner @FeynAI (YC X25), Barista @better_auth, @IITGuwahati Alum, Ex community lead @Cohere_Labs 🩵 chonkie.ai San Francisco, CA Joined September 2020-
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@thel3l @FeynAI @shreyash_nm Thank you ser! ☺️
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Bhavnick Minhas retweeted
this team made @orchid_hq so much better
Introducing Pulpie, models for cleaning the web. 70% of a typical HTML page is ads, navigation, and sidebars. Pulpie removes this noise and returns a clean document you can use in pre-training or as context. Previously, cleaning 1 billion pages with the best extractors cost
@skeptrune @ChihYang04 lowkey like the UI better than GH
Bhavnick Minhas retweeted
The idea for Pulpie came when building a deep research harness. Pages we got from web search often had enough boilerplate to change the answer. For example, a “Gemini on Pixel” ad appeared inside a technical article about AI progress. Our harness treated the ad copy as if it were one of the article’s key points and included it in the result. For LLMs, bad extraction is harmful. Noise can pollute pre-training data. At inference time it can put irrelevant data directly into context. Pulpie is our attempt to make high-quality extraction cheap enough to use at scale. It’s open source and available on Hugging Face. Check it out!
Introducing Pulpie, models for cleaning the web. 70% of a typical HTML page is ads, navigation, and sidebars. Pulpie removes this noise and returns a clean document you can use in pre-training or as context. Previously, cleaning 1 billion pages with the best extractors cost
Bhavnick Minhas retweeted
been working with the team for 2 months now, unreal customer service and quality services!!!
Introducing Pulpie, models for cleaning the web. 70% of a typical HTML page is ads, navigation, and sidebars. Pulpie removes this noise and returns a clean document you can use in pre-training or as context. Previously, cleaning 1 billion pages with the best extractors cost
Bhavnick Minhas retweeted
Introducing Pulpie, models for cleaning the web. 70% of a typical HTML page is ads, navigation, and sidebars. Pulpie removes this noise and returns a clean document you can use in pre-training or as context. Previously, cleaning 1 billion pages with the best extractors cost $159,000. Pulpie brings that down to $7,900. A 20x decrease.
who named it speculation and not dgenerate? call your draft model dgen from now on
using a draft model? ngmi, we're doing mtp now. doing mtp? ngmi, we're doing dflash now. doing dflash? ngmi, we're doing ddtree now. doing ddtree? ngmi, we're doing dspark now
crazy to me that no one at @nvidia thought about the fact that their inference stack is literally called TRT
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