Andrés Vázquez: ‘90% of technological problems can be solved with tools that have been around for decades’
blog.okfn.org·5h
⚖️Lossy Compression Ethics
How Spring Boot Microservices Are Powering the Next Wave of AI-Driven Applications
blog.devops.dev·1d
🌊Streaming Systems
Quality Precision
lesswrong.com·1d·
Discuss: Hacker News
✅FLAC Verification
OpenAI: Building the "Everything Platform" in AI
leoniscap.com·1d·
Discuss: Hacker News
🤖AI Curation
Functional Programming in Python: Leveraging Lambda Functions and Higher-Order Functions
kdnuggets.com·5h
⬆️Lambda Lifting
Facts, Arguments, Theses: Building AI Knowledge Retrieval on Meaning, Not Slices
nsavage.substack.com·3d·
Discuss: Substack
📄Text Chunking
Positional Embeddings in Transformers: A Math Guide to RoPE & ALiBi
towardsdatascience.com·7h
📐Geometric Hashing
The Science of Intelligent Exploration: Why We Need Exploration in AI
richardcsuwandi.github.io·2d·
Discuss: Hacker News
🔲Cellular Automata
[P] aligning non-linear features with your data distribution
reddit.com·1d·
Discuss: r/MachineLearning
🧠Machine Learning
Beyond the Hype: A Technical Analysis of Why AI-Generated Content Struggles to Build Authentic Engagement
dev.to·12h·
Discuss: DEV
🤖AI Curation
Classification in Supervised Learning: Classify Me If You Can
dev.to·1d·
Discuss: DEV
🧠Machine Learning
EduRABSA: An Education Review Dataset for Aspect-based Sentiment Analysis Tasks
arxiv.org·17h
📝Text Embeddings
Zero-shot Context Biasing with Trie-based Decoding using Synthetic Multi-Pronunciation
arxiv.org·17h
🎙️Whisper
When Simpler Wins: Facebooks Prophet vs LSTM for Air Pollution Forecasting in Data-Constrained Northern Nigeria
arxiv.org·1d
📈Time Series
Show HN: A lightweight ML model to predict music emotion - energy, valence, etc.
github.com·2d·
Discuss: Hacker News
🎵Audio ML
Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media
arxiv.org·1d
🔍BitFunnel
An experimental approach: The graph of graphs
arxiv.org·17h
🌈Spectral Methods
Detecting Hope, Hate, and Emotion in Arabic Textual Speech and Multi-modal Memes Using Large Language Models
arxiv.org·1d
📄Text Segmentation
NinA: Normalizing Flows in Action. Training VLA Models with Normalizing Flows
arxiv.org·17h
🎙️Whisper
Student-Teacher Distillation: A Complete Guide for Model Compression
dev.to·2h·
Discuss: DEV
📊Quantization