How Small Business Can Survive Google’s AI Overview
forbes.com·2d
📊Feed Optimization
GitHub’s internal playbook for building an AI-powered workforce - GitHub Resources
resources.github.com·20h
🗺️Competency Maps
Should You Build a Custom CRM? 3 Signs It’s Worth It
echojs.com·16h
📰RSS Feed Discovery
Building My Own Astrodynamics Library in Zig
atempleton.dev·53m·
Discuss: Hacker News
👁️Observatory Systems
We're not vibe coding enough
jeffnunn.com·1d·
Discuss: Hacker News
🚀Indie Hacking
Machine Learning Fundamentals: model evaluation with python
dev.to·9h·
Discuss: DEV
📏Code Metrics
Prompts
dev.to·1d·
Discuss: DEV
⚙️Parser Generators
A Dev Platform You Wish You Had Sooner – Chat, Learn, Build & Grow (Made by a Fellow Student)
dev.to·11h·
Discuss: DEV
📰RSS Feed Discovery
Thinking Clearly with LLMs: Mental Models and Cognitive Pitfalls in Prompt Engineering
dev.to·9h·
Discuss: DEV
⚡Proof Automation
Machine Learning Fundamentals: model evaluation
dev.to·1d·
Discuss: DEV
🌊Stream Processing
Why did Meta invest in Scale AI – and how will it change the AI models you use?
techradar.com·11h
🤖AI Curation
Building and Aligning Comparable Corpora
arxiv.org·1d
📜Digital Philology
Psychological safety in software workplaces: A systematic literature review
arxiv.org·22h
🔐Capability Systems
Causal Disentanglement and Cross-Modal Alignment for Enhanced Few-Shot Learning
arxiv.org·22h
📊Learned Metrics
Let's properly analyze an AI article for once
nibblestew.blogspot.com·1d·
Discuss: Hacker News, nibblestew.blogspot.com
🧠Intelligence Compression
Discover the Power of Productivity with The Key Tools
dev.to·4h·
Discuss: DEV
🗜️LZW Variants
Lightweight Backbone Networks Only Require Adaptive Lightweight Self-Attention Mechanisms
arxiv.org·1d
⧗Information Bottleneck
Being a software engineering student with a $5K/month side hustle
dev.to·7h·
Discuss: DEV
🚀Indie Hacking
Filtering with Self-Attention and Storing with MLP: One-Layer Transformers Can Provably Acquire and Extract Knowledge
arxiv.org·1d
🧠Machine Learning
On the (In)Significance of Feature Selection in High-Dimensional Datasets
arxiv.org·22h
🧠Machine Learning