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Scoured 7143 posts in 15.4 ms
AI Observability for Large Language Model Systems: A Multi-Layer Analysis of Monitoring Approaches from Confidence Calibration to Infrastructure Tracing  🛡️AI Safety
arxiv.org·20h
DeepSeek-V4 on Day 0: From Fast Inference to Verified RL with SGLang and Miles  📱Edge AI Optimization
lmsys.org·5d·Hacker News
carlovalenti/TRiP: A complete transformer engine in C — inference, training, chat, vision.  ✨Gemini
github.com·1d·Hacker News, r/C_Programming
Building Semantic Version Control in Rust  ⚙️Compilers
therohansharma.com·5d·Hacker News
Progressive Semantic Communication for Efficient Edge-Cloud Vision-Language Models  ⚡Edge AI
arxiv.org·20h
How we built the most performant DeepSeek V3.2, MiniMax-M2.5 and Qwen 3.5 397B on DigitalOcean NVIDIA HGX™ B300 GPU Droplets  📱Edge AI Optimization
digitalocean.com·2d
RaMP: Runtime-Aware Megakernel Polymorphism for Mixture-of-Experts  📱Edge AI Optimization
arxiv.org·20h
Rcarmo/gte-go: Golang inference for the GTE Small embedding model  🤖LLM
github.com·5d·Hacker News
Identifying the Achilles' Heel: An Iterative Method for Dynamically Uncovering Factual Errors in Large Language Models  🤖LLM
arxiv.org·20h
FlowBot: Inducing LLM Workflows with Bilevel Optimization and Textual Gradients  ✨LLMs
arxiv.org·20h
PAINT: Partial-Solution Adaptive Interpolated Training for Self-Distilled Reasoners  ⚗️Knowledge Distillation
arxiv.org·20h
Programming with Data: Test-Driven Data Engineering for Self-Improving LLMs from Raw Corpora  ✨LLMs
arxiv.org·1d
Benchmarking the Safety of Large Language Models for Robotic Health Attendant Control  🛡️AI Safety
arxiv.org·20h
A Survey on Split Learning for LLM Fine-Tuning: Models, Systems, and Privacy Optimizations  ✨LLMs
arxiv.org·2d
Efficient, VRAM-Constrained xLM Inference on Clients  📱Edge AI Optimization
arxiv.org·20h
Scalable Inference Architectures for Compound AI Systems: A Production Deployment Study  📱Edge AI Optimization
arxiv.org·1d
LLM Psychosis: A Theoretical and Diagnostic Framework for Reality-Boundary Failures in Large Language Models  ✨LLMs
arxiv.org·20h
Optimization of Model Splitting, Placement, and Chaining for Multi-hop Split Learning and Inference  📱Edge AI Optimization
arxiv.org·1d
LAF-Based Evaluation and UTTL-Based Learning Strategies with MIATTs  🧠Machine Learning
arxiv.org·6d
ClawGym: A Scalable Framework for Building Effective Claw Agents  🕹️Agentic AI
arxiv.org·20h

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