Recommended reading: history of large language models
noncommutativeanalysis.wordpress.com·1h
🤖Lisp Machines
Open Lineage
usenix.org·2d
🔌Interface Evolution
rblhost: Exploring Rust’s Role in Embedded Development Tools
mcuoneclipse.com·6d
🦀Embedded Rust
Self Hosting Nightscout on Raspberry Pi
broderic.blog·16h·
Discuss: Hacker News
🔌Single Board PC
I have seen the compounding teams
sundaylettersfromsam.substack.com·23h·
Discuss: Substack
⚔️Lean Tactics
Cold Calculation
kae3g.codeberg.page·17h·
Discuss: Hacker News
Incremental Computation
The Wild Vibe
jarv.org·16h·
Discuss: Hacker News
🌀Brotli Internals
Building Repo Bench
repoprompt.com·3d·
Proof Automation
Responsible Vibe Coding
dev.to·20h·
Discuss: DEV
📏Code Metrics
RedTWIZ: Diverse LLM Red Teaming via Adaptive Attack Planning
arxiv.org·3d
⚔️Lean Tactics
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·1d·
Discuss: DEV
📊Multi-vector RAG
Memory fragmentation? leak? in Rust/Axum backend
reddit.com·4d·
Discuss: r/rust
🏷️Memory Tagging
Node.js vs Go in Practice: Performance Comparison of chaos-proxy and chaos-proxy-go
dev.to·13h·
Discuss: DEV
gRPC
LightReasoner: Can Small Language Models Teach Large Language Models Reasoning?
arxiv.org·2d
🔗Parser Combinators
SPAD: Specialized Prefill and Decode Hardware for Disaggregated LLM Inference
arxiv.org·2d·
Discuss: r/LLM
💻Local LLMs
Stress-Testing Model Specs Reveals Character Differences among Language Models
arxiv.org·2d
📋Document Grammar
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·1d·
Discuss: DEV
🎵Audio ML
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·21h·
Discuss: DEV
📊Multi-vector RAG
Aria: An Agent For Retrieval and Iterative Auto-Formalization via Dependency Graph
arxiv.org·5d
Proof Automation
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·1d·
Discuss: DEV
📊Multi-vector RAG