Testinlägg 3
informationsforvaltning.com·2h
📦Deflate
I use AI as my personal assistant, mindset coach, creative writing partner, and more. Here are the 5 tools that have changed my life.
businessinsider.com·1h
🎯Content Recommendation
Erlang-Red – Interview with Gerrit Riessen at TADSummit
blog.tadsummit.com·20h·
Discuss: Hacker News
🌊Stream Processing
Providing APIs (2013)
en.wikisource.org·1d·
Discuss: Hacker News
📋Document Grammars
An exploration into the nature of ChatGPT's mathematical knowledge
tandfonline.com·11h·
Discuss: Hacker News
🔲Cellular Automata
Combating headcrabs in the Source SDK codebase
gamedev.net·16h·
Discuss: Hacker News
🦀Rust Macros
Solving Impossible Problems
aha.io·18h·
Discuss: Hacker News
⚡Proof Automation
trpc-agent-go: a powerful Go Agent framework for building intelligent agent systems
reddit.com·2d·
Discuss: r/golang
🌐Protocol Synthesis
The Best Local Coding LLMs You Can Run Yourself
kdnuggets.com·1d
💻Local LLMs
RAG Explained: Understanding Embeddings, Similarity, and Retrieval
towardsdatascience.com·1d
📊Multi-vector RAG
Deploying UDM Series in Real-Life Stuttered Speech Applications: A Clinical Evaluation Framework
arxiv.org·7h
🎙️Whisper
The Sum Leaks More Than Its Parts: Compositional Privacy Risks and Mitigations in Multi-Agent Collaboration
arxiv.org·7h
🔐Homomorphic Encryption
Making LLMs more accurate by using all of their layers
research.google·1d·
Discuss: Hacker News, r/LocalLLaMA
💻Local LLMs
Towards Robust Agentic CUDA Kernel Benchmarking, Verification, and Optimization
arxiv.org·7h
📏Code Metrics
Show HN: Pgmcp, an MCP server to query any Postgres database in natural language
github.com·1d·
Discuss: Hacker News
🧬PostgreSQL Forensics
An Open source ML library for beginners that not only perfoms preprocessing but also generates reports & visualizations for better understanding! ❤️‍🔥
dev.to·17h·
Discuss: DEV
🔗Topological Sorting
Synaptic Theory of Chunking in Working Memory
arxiv.org·7h
🔲Cellular Automata
How to Reduce Data Annotation Overhead in High-Volume Pipelines
dev.to·3h·
Discuss: DEV
⚙️Batch Processing
LLM Chatbot-Creation Approaches
arxiv.org·1d
🎙️Whisper
Not What the Doctor Ordered: Surveying LLM-based De-identification and Quantifying Clinical Information Loss
arxiv.org·7h
🧠Machine Learning