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Async Ruby Is the Future of AI Apps (and It's Already Here)
paolino.me·2d·
Discuss: Lobsters, Hacker News, Hacker News
⌨️Prompt Engineering
Go Internals: How much can we figure by tracing a syscall in Go?
csunderthehood.substack.com·1d·
Discuss: r/golang, r/programming
Show HN: Evoke: A Powerful Little Static Site Generator
github.com·1d·
Discuss: Hacker News
Bluish Veil Detection and Lesion Classification using Custom Deep Learnable Layers with Explainable Artificial Intelligence (XAI)
arxiv.org·19h
🤖AI
PBE Meets LLM: When Few Examples Aren't Few-Shot Enough
arxiv.org·2d
⌨️Prompt Engineering
Winning and losing with Artificial Intelligence: What public discourse about ChatGPT tells us about how societies make sense of technological change
arxiv.org·1d
🔮AI prompt engineering tools
Atherosclerosis through Hierarchical Explainable Neural Network Analysis
arxiv.org·19h
TalkFashion: Intelligent Virtual Try-On Assistant Based on Multimodal Large Language Model
arxiv.org·2d
🔮AI prompt engineering tools
IMPACT: Industrial Machine Perception via Acoustic Cognitive Transformer
arxiv.org·1d
🔮AI prompt engineering tools
Can adversarial attacks by large language models be attributed?
arxiv.org·1d
🏡Local running LLMs
Show HN: AI Power Internal Tools
news.ycombinator.com·4d·
Discuss: Hacker News
🔮AI prompt engineering tools
Phantom Subgroup Poisoning: Stealth Attacks on Federated Recommender Systems
arxiv.org·1d
🤖AI
Ampere: Communication-Efficient and High-Accuracy Split Federated Learning
arxiv.org·19h
Curriculum Negative Mining For Temporal Networks
arxiv.org·19h
LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models
arxiv.org·2d
🤖AI
On Trustworthy Rule-Based Models and Explanations
arxiv.org·19h
Hidden Prompts in Manuscripts Exploit AI-Assisted Peer Review
arxiv.org·2d
🔮AI prompt engineering tools
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Building the Hugging Face MCP Server
huggingface.co·1d·
Discuss: Hacker News
🏡Local running LLMs
CAVGAN: Unifying Jailbreak and Defense of LLMs via Generative Adversarial Attacks on their Internal Representations
arxiv.org·2d
⌨️Prompt Engineering
KPFlow: An Operator Perspective on Dynamic Collapse Under Gradient Descent Training of Recurrent Networks
arxiv.org·1d
🔮AI prompt engineering tools