Agents don't have agency
kconner.com·2d·
Discuss: Lobsters, Hacker News
⌨️Prompt Engineering
Optimizing Tool Selection for LLM Workflows with Differentiable Programming
viksit.substack.com·5d·
Discuss: Substack
🏡Local running LLMs
Announcing egui 0.32.0 - an easy-to-use cross-platform GUI for Rust
github.com·22h·
Discuss: r/programming
⌨️Prompt Engineering
Evaluation of OpenAI o1: Opportunities and Challenges of AGI
arxiv.org·2d
🤖AI
Automating Evaluation of Diffusion Model Unlearning with (Vision-) Language Model World Knowledge
arxiv.org·10h
🤖AI
PLACE: Prompt Learning for Attributed Community Search
arxiv.org·2d
🤖AI
Rethinking Layered Graphic Design Generation with a Top-Down Approach
arxiv.org·2d
🤖AI
Foundation Model Self-Play: Open-Ended Strategy Innovation via Foundation Models
arxiv.org·1d
⌨️Prompt Engineering
Operator-based machine learning framework for generalizable prediction of unsteady treatment dynamics in stormwater infrastructure
arxiv.org·3d
⌨️Prompt Engineering
ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture
arxiv.org·1d
🤖AI
SynthEHR-Eviction: Enhancing Eviction SDoH Detection with LLM-Augmented Synthetic EHR Data
arxiv.org·10h
🏡Local running LLMs
DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation
arxiv.org·10h
🤖AI
EXPO: Stable Reinforcement Learning with Expressive Policies
arxiv.org·10h
🤖AI
Self-Review Framework for Enhancing Instruction Following Capability of LLM
arxiv.org·2d
⌨️Prompt Engineering
Show HN: Credit Card Generator for Devs and Testers
news.ycombinator.com·21h·
Discuss: Hacker News
⌨️Prompt Engineering
Disambiguation-Centric Finetuning Makes Enterprise Tool-Calling LLMs More Realistic and Less Risky
arxiv.org·3d·
Discuss: Hacker News
⌨️Prompt Engineering
Expediting data extraction using a large language model (LLM) and scoping review protocol: a methodological study within a complex scoping review
arxiv.org·1d
🏡Local running LLMs
Winning and losing with Artificial Intelligence: What public discourse about ChatGPT tells us about how societies make sense of technological change
arxiv.org·1d
🏡Local running LLMs
PointVDP: Learning View-Dependent Projection by Fireworks Rays for 3D Point Cloud Segmentation
arxiv.org·1d
🤖AI
KeyKnowledgeRAG (K^2RAG): An Enhanced RAG method for improved LLM question-answering capabilities
arxiv.org·10h
🤖AI