Machine Quest

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Machine Quest

Machine Quest

@machine_quest

I doubt therefore I think therefore I exist

Tham gia Mayıs 2022
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Machine Quest
Machine Quest@machine_quest·
Happy to have been part of this paper. This is my first EACL paper, but wont be the last. I thank everyone who enabled me to reach this height, especially my supervisors Dr. @ransurangika and Dr. @NisansaDdS
Nisansa de Silva@NisansaDdS

In our upcoming @eaclmeeting paper on the utilization potential of the quality of web-mined corpora, we discuss how you may build better translation models by automatically sorting the training samples and using the top samples. Paper: arxiv.org/abs/2402.07446 1/n

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deep Manifold
deep Manifold@BetaTomorrow·
These are important points and worth further exploration. Learning complexity arises from data complexity, which is largely rooted in high-order nonlinearity. This is precisely where traditional supercomputing historically hit its limits, and AI systems are now encountering the same fundamental barrier.
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Sebastian Raschka
Sebastian Raschka@rasbt·
One of the underrated papers this year: "Small Batch Size Training for Language Models: When Vanilla SGD Works, and Why Gradient Accumulation Is Wasteful" (arxiv.org/abs/2507.07101) (I can confirm this holds for RLVR, too! I have some experiments to share soon.)
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merve
merve@mervenoyann·
Chapter 5 of the Vision Language Models book is out and it's all about pre-training, illustrated and hands-on 🧑🏻‍🎨👩🏻‍🎨👨🏻‍🎨 here's a sneak peek 👀
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Edoardo Ponti
Edoardo Ponti@PontiEdoardo·
Finally, you can count the r's in strawberry and check if 3.11 is higher than 3.9 without tokenisation interfering: Here's Bolmo, a fully open byte-level LLM with latent tokenisation, derived from a SOTA LLM (Olmo 3). Promising on coding and char-level understanding!
Ai2@allen_ai

Introducing Bolmo, a new family of byte-level language models built by "byteifying" our open Olmo 3—and to our knowledge, the first fully open byte-level LM to match or surpass SOTA subword models across a wide range of tasks. 🧵

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Edoardo Ponti
Edoardo Ponti@PontiEdoardo·
@FSoudan That's the magic of latent tokenisation! The sequence length is shortened in internal layers. So, depending on the compression ratio, the model may be *even faster* than its subword-level counterpart.
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Marc Lelarge 🌻
Marc Lelarge 🌻@marc_lelarge·
Ready for tomorrow’s lecture: 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗼𝗻 𝗚𝗣𝗨𝘀
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Marc Lelarge 🌻
Marc Lelarge 🌻@marc_lelarge·
Learn 𝗚𝗣𝗨 𝗽𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 from the ground up: begin with Numba for low-level control, then progress to Triton to write high-performance kernels in a Python-like language. A hands-on Jupyter notebook to get you started quickly.
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Machine Quest
Machine Quest@machine_quest·
@marc_lelarge Really looking forward to this and diving into this during my weekend. I appreciate your opensource policy!
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Mor Geva
Mor Geva@megamor2·
✨ New course materials: Interpretability of LLMs✨ This semester I'm teaching an active-learning grad course at @TelAvivUni on LLM interpretability, co-developed with my student @dhgottesman. We're releasing the materials as we go, so they can serve as a resource for anyone curious about how LLMs work from the inside: github.com/mega002/llm-in…
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Machine Quest
Machine Quest@machine_quest·
@jxmnop All the very best!!! Would love to read your thesis when its public
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Machine Quest
Machine Quest@machine_quest·
@jxmnop @goyal__pramod Wow! This is brilliant. Question: the written column in your spreadsheet, is it conference date or the arxiv date ?
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dr. jack morris
dr. jack morris@jxmnop·
from 2017–2020 i was learning ML. i didn't publish any research (and hadn't yet); i just trained a lot of tiny models and read a paper every single day i maintained a giant spreadsheet with notes about each paper along with random thoughts. was a great way to learn
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Machine Quest đã retweet
Pedro Domingos
Pedro Domingos@pmddomingos·
Hinton is no longer afraid of superintelligence.
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Machine Quest
Machine Quest@machine_quest·
@zouharvi Congrats, this is truly an exceptional acheivement, would love to hear your advice on applying for such prestigious awards.
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Vilém Zouhar @ EACL
Vilém Zouhar @ EACL@zouharvi·
Grateful to receive the Google PhD Fellowship!🙂 I am not secretive about having applied to 4 similar fellowships during my PhD before and didn't succeed. Still, refining my research statement (part of the application) helped me tremendously in finding out the real interesting..
Google.org@Googleorg

🎉 We're excited to announce the 2025 Google PhD Fellows! @GoogleOrg is providing over $10 million to support 255 PhD students across 35 countries, fostering the next generation of research talent to strengthen the global scientific landscape. Read more: goo.gle/43wJWw8

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saurabh
saurabh@saurabhtwq·
lion only care about nanochat for next few days.
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Khám phá

@BetaTomorrow @rasbt @mervenoyann @PontiEdoardo @FSoudan @marc_lelarge @dhgottesman @megamor2