ML and Data Projects To Know

📙 Agent Laboratory: Using LLM Agents as Research Assistants Authors: @SRSchmidgall @thu_yushengsu @JoelLiu0501 @ZeWang1995 @xiaodi95 @Xiaodong_Yu_126 @XimengSun1 Zhicheng Liu, @EmadBarsoumPi Paper: arxiv.org/abs/2501.04227

📙 Scaling Language-Free Visual Representation Learning Authors:@DavidJFan @TongPetersb @JiachenAI @koustuvsinha @liuzhuang1234 @endernewton Michael Rabbat, Nicolas Ballas, @ylecun @_amirbar @sainingxie Paper: arxiv.org/pdf/2504.01017

📙 Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters Authors: @sea_snell, @hoonkp, @imkelvinxu, @aviral_kumar2 Featured in PTK #127 bit.ly/ptk0127 Paper: arxiv.org/abs/2408.03314

📙 The Unreasonable Effectiveness of Easy Training Data for Hard Tasks Authors: @peterbhase, @mohitban47, Peter Clark, @sarahwiegreffe Paper: arxiv.org/abs/2401.06751

Why Chatbots Are Not the Future by: Amelia Wattenberger Featured in PTK #124 bit.ly/ptk0124 Post: wattenberger.com/thoughts/boo-c…

📙 MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers Authors: Lili Yu, Dániel Simig, Colin Flaherty, Armen Aghajanyan, Luke Zettlemoyer, Mike Lewis Featured in PTK #124 bit.ly/ptk0124 Paper: arxiv.org/abs/2305.07185

🖥️Guidance Featured in PTK #124 bit.ly/ptk0124 Code: github.com/microsoft/guid… Blog: towardsdatascience.com/the-art-of-pro…

Large sequence models for software development activities by: Petros Maniatis, Daniel Tarlow Featured in PTK #124 bit.ly/ptk0124 Blog: ai.googleblog.com/2023/05/large-…

🖥️ Git-Theta by: @kandpal_nikhil, @blester125, @Muqeeth10, @anisham197, @montymevans, Vishal Baskaran, @TenghaoHuang45, @liu_haokun, @colinraffel Featured in PTK #124 bit.ly/ptk0124 Code: github.com/r-three/git-th… Paper: arxiv.org/abs/2306.04529

📙 Reflexion: Language Agents with Verbal Reinforcement Learning Authors: @noahshinn024, @ellev3n11, Beck Labash, @ashwingop, @karthik_r_n, @ShunyuYao12 Featured in PTK #124 bit.ly/ptk0124 Paper: arxiv.org/pdf/2303.11366… Code: github.com/noahshinn024/r…

Open Vector Data Lakes by: Ziheng Wang Featured in PTK #124 bit.ly/ptk0124 Post: blog.lancedb.com/why-dataframe-…

🖥️ QLoRA by: Tim Dettmers, Artidoro Pagnoni, Ari Holtzman, Luke Zettlemoyer Featured in PTK #124 bit.ly/ptk0124 Code: github.com/artidoro/qlora

📙 How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources Featured in PTK #124 bit.ly/ptk0124 Paper: arxiv.org/pdf/2306.04751…

Enterprise Restaurant Compute by: Brian Chambers, Chick-fil-A Featured in PTK #121 bit.ly/ptk121 Post: medium.com/chick-fil-atec…

🖥️ Zeno Featured in PTK #121 bit.ly/ptk121 Code: github.com/zeno-ml/zeno

📙 Parsel : A (De-)compositional Framework for Algorithmic Reasoning with Language Models Authors: Eric Zelikman, Qian Huang, Gabriel Poesia, Noah D. Goodman, Nick Haber Featured in PTK #121 bit.ly/ptk121 Paper: arxiv.org/pdf/2212.10561…

🖥️ 𝗗𝗦𝗣: The Demonstrate–Search–Predict Framework by: Omar Khattab, Keshav Santhanam, Xiang Lisa Li, David Hall, Percy Liang, Christopher Potts, Matei Zaharia Featured in PTK #121 bit.ly/ptk121 Code: github.com/stanfordnlp/dsp Paper: arxiv.org/pdf/2212.14024…

📙 Toolformer: Language Models Can Teach Themselves to Use Tools Authors: @timo_schick @JaneDwivedi @robdessi @robertarail @MariaLomeli_, @LukeZettlemoyer Nicola Cancedda, @ThomasScialom Featured in PTK #121 bit.ly/ptk121 Paper: arxiv.org/abs/2302.04761

A Twitter Thread from Neeva Featured in PTK #121 bit.ly/ptk121 Thread: twitter.com/neeva/status/1…

🖥️ iWF by: Indeed Featured in PTK #121 bit.ly/ptk121 Code: github.com/indeedeng/iwf