Learn Natural Language Processing
Python dev to an NLP data scientist with practical projects
What it does
Transform yourself from a Python Developer to a Natural Language Processing Data Scientist with practical projects. From TF-IDF -> Sentence Transformers -> GPT-3 -> production API deployment, you will learn it all and use it in practical projects.
Does the same job
all alternatives →- NLNatural Language Processing Demystified (Part One)2022 · nlpdemystified.org · ▲166
Hi HN: I published part one of my free NLP course. The course is intended to help anyone who knows Python and a bit of math go from the very basics all the way to today's mainstream models and frameworks. I strive to balance theory and practice and so every module consists of detailed explanations and slides along with a Colab notebook (in most modules) putting the theory into practice. In part one, we cover text preprocessing, how to turn text into numbers, and multiple ways to classify and search text using "classical" approaches. And along the way, we'll pick up useful bits on how to use…
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 26d ago · cactuscompute.com
Launched alongside, November 2022
the whole month →
- TC
I made a thing! In 2014, I was holding a stack of iPhones and thought to myself: "Hey, if I had each phone display a playing card, I could click a button and they'd shuffle themselves" I pared that idea all the way down to this: trading cards made of e-ink displays. Right now, each card costs me about $20 each, but with only a bit more scale, I think I can get that down to $10. In doing this project, I learned how to design electronics and circuit boards. I learned Rust and wrote my first driver, I upped my CAD skills, 3D printed, and did my first resin casting. I generated the images on the…
Dev tools · 2022 · wyldcard.io
