Docs | Skyware
skyware.js.org·44m
📦METS Containers
How I provide technical clarity to non-technical leaders
seangoedecke.com·1d
⚙️Proof Engineering
I Built an AI Flood Forecasting System with Next.js 15 &
future.forem.com·18h·
Discuss: DEV
🌊Streaming Systems
Slashdot Is Down [503]
slashdot.org·19h·
Discuss: Hacker News
🧲RISC-V Archaeology
timelinize/timelinize
github.com·3d
⏱️Interval Archives
AI as both authors and reviewers of research papers
openreview.net·3d·
Discuss: Hacker News
🔲Cellular Automata
How well can large language models predict the future?
forecastingresearch.substack.com·3d·
Discuss: Substack
📈Time Series
Do language models favor their home countries?
misinforeview.hks.harvard.edu·4d·
Discuss: Hacker News
📰RSS Archaeology
Lessons Learned from Building Product Dashboards That Drive Real Decisions
dev.to·1d·
Discuss: DEV
🌊Streaming Systems
Announcing Chamber: A simple, cross-platform encrypted file vault tool built with Go
reddit.com·21h·
Discuss: r/golang
🔐Archive Encryption
Unlock Your Enterprise Data: A Java/Spring Guide to AI-Ready Schema.org & JSON-LD
dev.to·3d·
Discuss: DEV
📋Document Grammar
An enough week
blog.mitrichev.ch·3d·
Discuss: blog.mitrichev.ch
📈Linear programming
Memory Retrieval and Consolidation in Large Language Models through Function Tokens
arxiv.org·3d
💻Programming languages
Evaluating LLM-Generated Legal Explanations for Regulatory Compliance in Social Media Influencer Marketing
arxiv.org·3d
🔍Information Retrieval
Causality Guided Representation Learning for Cross-Style Hate Speech Detection
arxiv.org·3d
🎙️Whisper
Mitigating Judgment Preference Bias in Large Language Models through Group-Based Polling
arxiv.org·3d
💻Local LLMs
DGTEN: A Robust Deep Gaussian based Graph Neural Network for Dynamic Trust Evaluation with Uncertainty-Quantification Support
arxiv.org·3d
🕸️Graph Embeddings
Google Opal is not a “degraded Dify”. Its strategic positioning and optimal utilisation methods revealed through actual use
dev.to·14h·
Discuss: DEV
🦋Format Metamorphosis
Quantum Autonomy: Algorithms That Design Themselves by Arvind Sundararajan
dev.to·22h·
Discuss: DEV
⚛️Quantum Algorithms
Distilling Reasoning into Student LLMs: Local Naturalness for Selecting Teacher Data
arxiv.org·6d
💻Local LLMs