Model Quantization, ONNX Runtime, Embedded Inference, TinyML

AI receptionist that answers real phone calls
news.ycombinator.com·1d·
Discuss: Hacker News
🧠AI
2025-10-10 # LLMs Are Transpilers
alloc.dev·2d·
Discuss: Hacker News
💻Local LLMs
My First Week of Vibecoding
underreacted.leaflet.pub·1d·
Discuss: Hacker News
vibe-coding
Building with AI: How a Nigerian Engineer Is Simplifying Solar Energy Decisions
hackernoon.com·2d
🧠AI
Is Your Fridge About to Become a Mind Reader? Welcome to the World of Generative AI!
dev.to·2d·
Discuss: DEV
🏗️AI Infrastructure
Dynamic Power Allocation for High-Bandwidth USB-C Alt Mode Displays using Reinforcement Learning
dev.to·8h·
Discuss: DEV
🧠Neuromorphic Chips
Neural Network-Based Anomaly Detection in CI/CD Pipelines: A Technical Overview
dev.to·2d·
Discuss: DEV
🏗️AI Infrastructure
Hyper-Personalized Cyberbullying Mitigation via Adaptive Linguistic Fingerprinting and Behavioral Anomaly Detection
dev.to·17h·
Discuss: DEV
🌊Event Streaming
Tech With Tim: Cancel Your AI subscriptions | This All-in-one AI is All You Need (ChatLLM Review)
dev.to·1d·
Discuss: DEV
🧠AI
Latency vs. Accuracy for LLM Apps — How to Choose and How a Memory Layer Lets You Win Both
dev.to·4d·
Discuss: DEV
💻Local LLMs
The Future of Web Development: Integrating Artificial Intelligence
dev.to·21h·
Discuss: DEV
🧩Low-code
An Adaptive Multi Agent Bitcoin Trading System
arxiv.org·1d
🧠AI
RIP Fine-Tuning — The Rise of Self-Tuned AI
dev.to·1d·
Discuss: DEV
🏠Self-hosted AI
CaRT: Teaching LLM Agents to Know When They Know Enough
arxiv.org·1d
🏗️AI Infrastructure
Prototyping Real-time Social Sentiment with Python
dev.to·5h·
Discuss: DEV
vibe-coding
The rapidly evolving field of artificial intelligence has le
dev.to·1d·
Discuss: DEV
🎚️Voice AI Systems
English - the hottest programming language of the future
dev.to·1d·
Discuss: DEV
🧩Low-code
Tech With Tim: How to Build AI Agents in Python
dev.to·1d·
Discuss: DEV
🤖AI agents
A tangled web of deals stokes AI bubble fears in Silicon Valley
dev.to·14h·
Discuss: DEV
🏗️AI Infrastructure
Implicit Models: Expressive Power Scales with Test-Time Compute
arxiv.org·4d
🏗️AI Infrastructure