Imagination. Code. Reality.
Research on LLM agents, LLM efficiency, and a slice of Computer Vision.
open source @github model @huggingface blog @medium
new post on harness engineering for AI self-improvement: https://t.co/ZYvGfVs61k
It is hard to forecast how much the future of RSI will rely on harnesses. Likely harness engineering will evolve in the direction of self-improvement and enable auto-research, and, in turn, smarter models keeps harnesses simple.
Even when many harness improvement get eventually internalized into core model, the need to specify goals and context will not disappear.
All 23 lectures for my CMU Advanced NLP course are now on YouTube. The slides and 20 code examples are also publicly available.
- YouTube: https://t.co/PV5FMA47La
- Course Page (Slides, Schedule): https://t.co/2C7JNAC9eY
- Code: https://t.co/mz6i7tcoMh
The lectures are grouped into 7 themes: fundamentals, architectures, learning & inference, modeling, evaluation, RL & agents, and scaling & efficiency.
Check them out if you’re looking for an introduction or refresher on the fundamentals of LLMs, key ideas from recent NLP research, or are just curious to learn more.
Indonesian President Prabowo’s $15B FREE school meals program is causing budget strain.
If that's not bad enough, it's been the source of food poisoning and corruption.
PRABOWO IS LOSING FISCAL CONTROL. THAT IS CREATING A CONFIDENCE PROBLEM AND A SINKING RUPIAH.
asked claude fable 5 to design a qdd actuator
it also animated the gearbox and inspected collisions as part of the validation loop
~ 30 minutes / 400k tokens
Introducing CADGenBench: measure how well AI systems produce engineering-grade 3D parts!
While current models can generate 3D parts, they are far from precise enough to build functional parts. We built a benchmark to systematically measure their capabilities on two tasks:
1. Generation from an engineering drawing of a part
2. Editing: given an existing STEP file and a requested change
The benchmark is tool-agnostic. It makes no assumptions about how you build the model. You can vary the LLM, and you can vary the environment. Use build123d, Onshape, Autodesk, or a model without an LLM entirely. We open sourced the scoring engine and a reference baseline on top of build123d.
A collaboration between Hugging Face and @mecadoinc!
Submission space: https://t.co/40kfjsd3Dv
Code repository: https://t.co/fvmMjzrIzp