🐫 OCaml

Functional language, Static typing, Pattern matching, ML family

How to Write Inductive Invariants
quint-lang.org·5d·
Discuss: Lobsters, Hacker News, r/programming
λFunctional Programming
Leetcode or Projects — Which One Is Likely to Land You a Tech Job?
hackernoon.com·23h
λFunctional Programming
Mobile AI with ONNX Runtime: How to Build Real-Time Noise Suppression That Works
hackernoon.com·3d
🕸️WASM
Nicholas Renotte: How to Build a Stock Screener AGENT with LangGraph in 30 Minutes (LangGraph Crash Course)
dev.to·3d·
Discuss: DEV
λFunctional Programming
The Core Idea: Finding the Best Separator
dev.to·3d·
Discuss: DEV
🔍Parsers
Outrank the Algorithm: What LLMs Look for When They ‘Choose’ Your Content
hackernoon.com·23h
🔍Parsers
How to use python resquests.get to fetch data?
dev.to·11h·
Discuss: DEV
λFunctional Programming
Turbocharging TypeScript: What Happens When You Rebuild It in Go
dev.to·4d·
Discuss: DEV
🕸️WASM
Bio-Integrated Oscillatory Neural Networks for Associative Memory in Brain Organoids
dev.to·1d·
Discuss: DEV
0️⃣Zero-Copy
DeepMind Genie3 architecture speculation
reddit.com·1d·
Discuss: r/MachineLearning
λFunctional Programming
Actionable Counterfactual Explanations Using Bayesian Networks and Path Planning with Applications to Environmental Quality Improvement
arxiv.org·2d
λFunctional Programming
PilotRL: Training Language Model Agents via Global Planning-Guided Progressive Reinforcement Learning
arxiv.org·3d
🔍Parsers
Integrating clinical reasoning into large language model-based diagnosis through etiology-aware attention steering
arxiv.org·3d
λFunctional Programming
Prompt OpenAI’s O3: Best Practices, Applications & Tips
dev.to·2d·
Discuss: DEV
🔍Parsers
MARS: A Meta-Adaptive Reinforcement Learning Framework for Risk-Aware Multi-Agent Portfolio Management
arxiv.org·2d
🔍Parsers
Six Guidelines for Trustworthy, Ethical and Responsible Automation Design
arxiv.org·2d
🪶suckless
Web3 x AI Agents: Landscape, Integrations, and Foundational Challenges
arxiv.org·1d
🔍Parsers
🔍 AI Debugging: Fix Bugs Faster with GPT & Friends
dev.to·1d·
Discuss: DEV
λFunctional Programming
Machine Learning Fundamentals: loss function tutorial
dev.to·4d·
Discuss: DEV
λFunctional Programming
Reproducible Go Toolchains: What You Need to Know
hackernoon.com·3d
❄️Nix Flakes