Will AI be the basis of many future industrial fortunes, or a net loser?
dev.to·1d·
Discuss: DEV
🎤Voice Interfaces
Disaggregated Inference at Scale with PyTorch and VLLM
pytorch.org·1d·
Discuss: Hacker News
💻Local LLMs
Supercharge Your Docker Compose Applications with AI Models
ajeetraina.com·13h
☁️Serverless Rust
RFS for AI Alignment
fiftyyears.com·57m·
Discuss: Hacker News
🧩Low-code
LAVa: Layer-wise KV Cache Eviction with Dynamic Budget Allocation
arxiv.org·15h
💻Local LLMs
Securing and Scaling AI-Powered APIs
capestart.com·6h·
Discuss: Hacker News
🌊Event Streaming
Analog IMC Attention Mechanism For Fast And Energy-Efficient LLMs (FZJ, RWTH Aachen)
semiengineering.com·2h
🧠Neuromorphic Hardware
The Data Backbone of LLM Systems
infoq.com·4d·
Discuss: Lobsters
🏠Self-hosted AI
The mistake I made with my first AI Agent (and the simpler fix)
reddit.com·19h·
Discuss: r/artificial
🤖AI agents
Scaling high-performance inference cost-effectively
cloud.google.com·5d
🏠Self-hosted AI
Writing a Good AI Image Prompt Isn't Hard, but You Need These Essential Elements
cnet.com·4h·
Discuss: Hacker News
🤖AI agents
LLM Rerankers for RAG: A Practical Guide
fin.ai·21h·
Discuss: Hacker News, Hacker News
🔍Query Compilers
AI Agent Development Trends 2025: Insights from 542 Projects
greenice.net·3h·
Discuss: Hacker News
🤖AI agents
Logic Engines: Building Smarter AI with State-Based Truth Tables by Arvind Sundararajan
dev.to·4h·
Discuss: DEV
🧠Neuromorphic Chips
I built an LLM from Scratch in Rust (Just ndarray and rand)
github.com·1d·
Discuss: Hacker News, r/LLM, r/rust
💻Local LLMs
LLMs on a Shoestring: The Dynamic Cache Advantage by Arvind Sundararajan
dev.to·9h·
Discuss: DEV
💻Local LLMs
LangChain, LangGraph, and LangSmith: Untangling the Confusion
dev.to·18h·
Discuss: DEV
🤖AI agents
AI Tokenization Services
dev.to·9h·
Discuss: DEV
🎚️Voice AI Systems
An Engineer’s Answer to the HR Black Hole
dev.to·19h·
Discuss: DEV
🧠AI
The Shift from ML Engineering to AI Engineering
bryananthonio.com·1h·
Discuss: Hacker News
💻Local LLMs