型安全かつシンプルなAgentフレームワーク「PydanticAI」の実装を解剖する - ABEJA Tech Blog
はじめに こちらはABEJAアドベントカレンダー2024 12日目の記事です。 こんにちは、ABEJAでデータサイエンティストをしている坂元です。最近はLLMでアプローチしようとしていたことがよくよく検証してみるとLLMでは難しいことが分かり急遽CVのあらゆるモデルとレガシーな画像処理をこれでもかというくらい詰め込んだパイプラインを実装することになった案件を経験して、LLMでは難しそうなことをLLM以外のアプローチでこなせるだけの引き出しとスキルはDSとしてやはり身に付けておくべきだなと思うなどしています（LLMにやらせようとしていることは大抵難しいことなので切り替えはそこそこ大変）。 とはいうものの、Agentの普及によってより複雑かつ高度な推論も出来るようになってきています。弊社の社内外のプロジェクト状況を見ていても最近では単純なRAG案件は減りつつあり、計画からアクションの実行、結果
Assessing Claude Mythos Preview’s cybersecurity capabilities April 7, 2026 Nicholas Carlini, Newton Cheng, Keane Lucas, Michael Moore, Milad Nasr, Vinay Prabhushankar, Winnie Xiao Hakeem Angulu, Evyatar Ben Asher, Jackie Bow, Keir Bradwell, Ben Buchanan, David Forsythe, Daniel Freeman, Alex Gaynor, Xinyang Ge, Logan Graham, Kyla Guru, Hasnain Lakhani, Matt McNiece, Mojtaba Mehrara, Renee Nichol, A
Parsing SQL - Strumenta
The code for this tutorial is on GitHub: parsing-sql SQL is a language to handle data in a relational database. If you worked with data you have probably worked with SQL. In this article we will talk about parsing SQL. It is in the same league of HTML: maybe you never learned it formally but you kind of know how to use it. That is great because if you know SQL, you know how to handle data. However
Agentic GraphRAG for Commercial Contracts | Towards Data Science
In every business, legal contracts are foundational documents that define the relationships, obligations, and responsibilities between parties. Whether it’s a partnership agreement, an NDA, or a supplier contract, these documents often contain critical information that drives decision-making, risk management, and compliance. However, navigating and extracting insights from these contracts can be a
The Andrej Karpathy episode. Andrej explains why reinforcement learning is terrible (but everything else is much worse), why model collapse prevents LLMs from learning the way humans do, why AGI will just blend into the previous ~2.5 centuries of 2% GDP growth, why self driving took so long to crack, and what he sees as the future of education. Watch on YouTube; listen on Apple Podcasts or Spotify
This year’s Advent of Code has been brutal (compare the stats of 2023 with that of 2022, especially day 1 part 1 vs. day 1 part 2). It included a problem to solve with dynamic programming as soon as day 12, which discouraged some people I know. This specific problem was particularly gnarly for Advent of Code, with multiple special cases to take into account, making it basically intractable if you
--- name: skill-creator description: Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations. license: Complete terms in LICENSE.txt --- # Skill Creator This skill provides guidance for creating effective skills. ## About Skills S
Try Mastering Emacs for free! Are you struggling with the basics? Have you mastered movement and editing yet? When you have read Mastering Emacs you will understand Emacs. It’s that time again: there’s a new major version of Emacs and, with it, a treasure trove of new features and changes. Notable features include the formal inclusion of native compilation, a technique that will greatly speed up y
Expert Generalists
As computer systems get more sophisticated we've seen a growing trend to value deep specialists. But we've found that our most effective colleagues have a skill in spanning many specialties. We are thus starting to explicitly recognize this as a first-class skill of “Expert Generalist”. We can identify the key characteristics of people with this skill - and thus recruit and promote based on it. We
Lil' Fun Langs
LOC Host HM ADTs Match Cl. Target Hirrolot's CoC src ~70 OCaml ✗ ✗ ✗ ✓ Interpreter Harrop MiniML src ~100 OCaml ✗ ✗ ✗ ✗ LLVM → native Algorithm W src ~300 Haskell ✓ ✗ ✗ ✗ Type checker only tomprimozic/type-systems src ~300 OCaml ✓ ✗ ✗ ✗ Type checker only lambda-calculus-hs src ~200–900 Haskell ✗ ✓ ✓ ✓ Interpreter THIH src ~429 Haskell ✓ ✓ ✓ ✗ Type checker only Simple-sub src ~500 Scala ✓ ✗ ✗ ✓ Typ
Downloads: Windows: x64 Arm64 | Mac: Universal Intel silicon | Linux: deb rpm tarball Arm snap Update 1.72.1: The update addresses these security issues. Update 1.72.2: The update addresses these issues. Welcome to the September 2022 release of Visual Studio Code. There are many updates in this version that we hope you'll like, some of the key highlights include: Tool bar customization - Hide/show
The simplicity of Prolog
Back to homepage Nowadays the most popular programming languages are Python, Javascript, Java, C++, C#, Kotlin and Ruby, and the average programmer is probably familiar with one or more of these languages. It's relatively easy to switch from one to another (barring any framework specific knowledge that may be needed), since they are all imperative (and for the most part object-oriented) languages,
Following up from the last post, there is a lot more we need to cover. This was intended to be the post where we talk exclusively about benchmarks and numbers. But, I have unfortunately been perfectly taunted and status-locked, like a monster whose “aggro” was pulled by a tank. The reason, of course, is due to a few folks taking issue with my outright dismissal of the C and C++ APIs (and not showi
Accepted at ICLR 2026 (Oral). GEPA: REFLECTIVE PROMPT EVOLUTION CAN OUTPER- FORM REINFORCEMENT LEARNING Lakshya A Agrawal1 , Shangyin Tan1 , Dilara Soylu2 , Noah Ziems4 , Rishi Khare1 , Krista Opsahl-Ong5 , Arnav Singhvi2,5 , Herumb Shandilya2 , Michael J Ryan2 , Meng Jiang4 , Christopher Potts2 , Koushik Sen1 , Alexandros G. Dimakis1,3 , Ion Stoica1 , Dan Klein1 , Matei Zaharia1,5 , Omar Khattab6
Litestar is worth a look
A few years ago at work, I had a project which offered an opportunity to look at the new generation of async-first, type-hint-driven Python web frameworks. For reasons which aren’t particularly relevant today, on that project I ended up choosing Litestar, which is the one that doesn’t have a ravenous all-consuming hype machine surrounding it. And I’m very glad I did, because today I’m more convinc
Django 6.0 was released today, starting another release cycle for the loved and long-lived Python web framework (now 20 years old!). It comes with a mosaic of new features, contributed to by many, some of which I am happy to have helped with. Below is my pick of highlights from the release notes. Upgrade with help from django-upgrade If you’re upgrading a project from Django 5.2 or earlier, please
Essential Machine Learning Equations: A Reference Guide
Why This Guide Exists I created this as a practical reference for the mathematical foundations of machine learning. It’s not comprehensive (no guide could be), but it covers equations I find myself returning to regularly. Each section includes working Python implementations that I’ve tested or used at some point. This started from a tweet by @goyal__pramod and grew as I collected formulas I actual
What’s New In Python 3.13
What’s New In Python 3.13¶ Editors: Adam Turner and Thomas Wouters This article explains the new features in Python 3.13, compared to 3.12. Python 3.13 was released on October 7, 2024. For full details, see the changelog. Summary – Release Highlights¶ Python 3.13 is a stable release of the Python programming language, with a mix of changes to the language, the implementation and the standard libra
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Claude Mythos Preview \ red.anthropic.com
Andrej Karpathy — AGI is still a decade away
Dynamic Programming is not Black Magic - Quentin Santos
prompts.chat - AI Prompts Community
What's New in Emacs 28.1?
September 2022 (version 1.72)
cuneicode, and the Future of Text in C
GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning
Django: what’s new in 6.0 - Adam Johnson