Optimal Scheduling Algorithms for LLM Inference: Theory and Practice
arxiv.org·1h
🧠LLM Inference
Hessian analysis with JAX: a platform-agnostic, high-performance approach
lesswrong.com·45m
🕯️Candle
A Histogram Is a Generative Model
jonathandinu.com·14h·
Discuss: Hacker News
🎭Claude
Import AI 423: Multilingual CLIP; anti-drone tracking; and Huawei kernel design
jack-clark.net·20h
🆕New AI
How I turned a general-purpose LLM into a professional code optimization expert with one detailed prompt
reddit.com·20h·
Discuss: r/programming
🪄Prompt Engineering
The future of AI in Finance: Insights from Nubank’s Tech Leaders at Purple MinDS
building.nubank.com·12h
🏆LLM Benchmarking
How LLMs See the World
blog.bytebytego.com·14h
🧠LLM Inference
Flexible Automatic Identification and Removal (FAIR)-Pruner: An Efficient Neural Network Pruning Method
arxiv.org·1h
📊Vector Databases
What K8s Users Really Think About AI in 2025
thenewstack.io·13h
🆕New AI
Driving lower barriers, higher returns in industrial AI
nordot.app·16h
🆕New AI
I don’t get it. Most people still ignore GPTs inside ChatGPT.
threadreaderapp.com·21h
💾Prompt Caching
Simulated Society of 10k AI Agents
theunwindai.com·14h·
Discuss: Hacker News
🆕New AI
Towards American Truly Open Models: The ATOM Project
interconnects.ai·15h
🤖AI
SAT Requires Exhaustive Search
link.springer.com·9h·
Discuss: Hacker News
🧮SMT Solvers
I Found 12 People Who Ditched Their Expensive Software for AI-built Tools
kill-the-newsletter.com·13h
🪄Prompt Engineering
Digital Implementation and AI at #62DAC
semiwiki.com·12h
🔬Chip Fabrication
Explainable AI Methods for Neuroimaging: Systematic Failures of Common Tools, the Need for Domain-Specific Validation, and a Proposal for Safe Application
arxiv.org·1h
🔍AI Interpretability
9 habits of the highly ineffective vibe coder
infoworld.com·20h
👨‍💻AI Coding
Predictive CI: Why Smart Teams Are Making the Switch
usetusk.ai·10h·
Discuss: Hacker News
🔍AI Interpretability
Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs
arxiv.org·1h
🧠LLM Inference