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🧠 Inference Serving

Request Batching, Model Loading, Throughput Optimization, Latency Management

Llama.cpp vs API - Gemma 3 Context Window Performance
reddit.com·15h·
Discuss: r/LocalLLaMA
💾Prompt Caching
Speaker ID, Database Timeouts & Content Hashing
askthegame.bearblog.dev·18h
💾Prompt Caching
Now you can use Sentry Insights to trigger alerts and debug issues
blog.sentry.io·18h
⚡Systems Performance
DLSS Transformer Model for DLSS 4 is out of beta as Nvidia looks to officially incorporate new model to improve image quality and efficiency
tomshardware.com·4h
⚡Hardware Acceleration
It's elementary: Problem-solving AI approach tackles inverse problems used in nuclear physics and beyond
phys.org·1h
🔍AI Interpretability
The Guide to the Foundation Models Framework
azamsharp.com·5h·
Discuss: Hacker News
📦Binary Serialization
OpenRouter raises $40M in funding for its one-stop shop marketplace for all AI models
techstartups.com·1h
🖥GPUs
The AI Agent schism: deterministic vs. non deterministic
writing.kunle.app·54m·
Discuss: Hacker News
💾Persistence Strategies
New Paper: Ambiguous Online Learning
lesswrong.com·9h
🧠LLM Inference
How Schroders built its multi-agent financial analysis research assistant
cloud.google.com·2h
🔧Developer tools
C++ Seeding Surprises (2015)
pcg-random.org·2h·
Discuss: Hacker News
🌳Data Structures
in and out, quick appview adventure | futur | WhiteWind blog
whtwnd.com·10h
💧Litestream
AI benchmarking tools evaluate real world performance
infoworld.com·13h
🏆LLM Benchmarking
Plan for Speed -- Dilated Scheduling for Masked Diffusion Language Models
arxiv.org·14h
🧠LLM Inference
Polaris: A Post-training recipe for scaling RL on Advanced ReasonIng models
github.com·22h·
Discuss: r/LocalLLaMA
🗜️Zstd
What LLMs Know About Their Users
schneier.com·7h·
Discuss: Hacker News
🪄Prompt Engineering
June 25, 2025 Flight Tracking Workshop (4 hour) [Americas / Europe-friendly time]
bellingcat.com·18h
🪄Prompt Engineering
Greedy Is Good. Less Greedy May Be Better
gojiberries.io·17h·
Discuss: Hacker News
🏆LLM Benchmarking
Learning-aided Bigraph Matching Approach to Multi-Crew Restoration of Damaged Power Networks Coupled with Road Transportation Networks
arxiv.org·14h
🌐Distributed systems
Introduction to Problem of Language Modeling
infinitely-fallible.bearblog.dev·21h
🧠LLM Inference
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