ntdevlabs/tiny11builder
github.com·2d
🪟Awesome windows command-line
Wrote an in-depth blog on scaling modern transformers with n-D parallelism
jaxformer.com·6d·
Discuss: Hacker News
🔄Burrows-Wheeler
From Hours to Seconds: How Real-Time Data and AI Are Reshaping Auto Lending Worldwide
hackernoon.com·3d
🌊Stream Processing
Learning to code from scratch with AI: what worked, what didn't
indiehackers.com·6d·
Discuss: Hacker News
🏗️Compiler Archaeology
The State of AI Gross Margins in 2025
tanayj.com·2d·
Discuss: Hacker News
🖥️Modern Terminals
On Finding Allies in Unexpected Places
dev.to·1d·
Discuss: DEV
🧲Magnetic Philosophy
ACE-RL: Adaptive Constraint-Enhanced Reward for Long-form Generation Reinforcement Learning
arxiv.org·5d
🔲Cellular Automata
Analyzing Finnish Inflectional Classes through Discriminative Lexicon and Deep Learning Models
arxiv.org·5d
🔗Monadic Parsing
From 49 to 95: How Prompt Engineering Boosted Gemini MCP Image Generation
dev.to·4d·
Discuss: DEV
🎯Emulator Accuracy
RAG vs Fine-Tuning in AI: Which Approach is Right for Your Business?
dev.to·21h·
Discuss: DEV
🌊Stream Processing
Magical systems thinking
worksinprogress.news·17h·
Discuss: Hacker News
⚙️systems theory
The AI-Driven DeFi Platform Transforming Staking
dev.to·2d·
Discuss: DEV
👁️Observatory Systems
Analysis of Blood Report Images Using General Purpose Vision-Language Models
arxiv.org·4d
🤖Advanced OCR
Mitigating Spurious Correlations Between Question and Answer via Chain-of-Thought Correctness Perception Distillation
arxiv.org·4d
💻Local LLMs
Should You Use gRPC in Your AI Tooling Stack? - Jennifer Amah, Ostrom
youtube.com·3h
⚡gRPC
Python for Everyone: 3 Simple Ways Python Can Automate Your Daily Life Today
dev.to·3d·
Discuss: DEV
🪟Awesome windows command-line
MatrixPortal S3 Maze Game with CircuitPython
hackster.io·4d
📟Terminal Physics
UOPSL: Unpaired OCT Predilection Sites Learning for Fundus Image Diagnosis Augmentation
arxiv.org·2d
🧠Machine Learning
[D] Vibe-coding and structure when writing ML experiments
reddit.com·5d·
Discuss: r/MachineLearning
💻Local LLMs
Repeating vs. Non-Repeating FRBs: A Deep Learning Approach To Morphological Characterization
arxiv.org·4d
🧠Machine Learning