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The SmartBase - IoT Adjustable Bed for Comfort and Safety (2019)
hackster.io·1h·
Discuss: Lobsters
🏠Home Manager
Complex Iterators are Slow
caolan.uk·20h·
Discuss: Lobsters, Hacker News, r/programming
λFunctional Programming
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Fly.io Distributed Systems Challenge solutions (again I guess)
reddit.com·1d·
Discuss: r/golang
❄️Nix Flakes
Path-LLM: A Shortest-Path-based LLM Learning for Unified Graph Representation
arxiv.org·7h
🔍Parsers
DO NOT BUY "Practical Rust" By James Maina
reddit.com·15h·
Discuss: r/rust
🦀Rust
Lobsters Interview with Icefox
lobste.rs·3d·
Discuss: Lobsters
λFunctional Programming
Introducing qcontroller: Declarative VM Management with QEMU and Go
dev.to·2h·
Discuss: DEV
🏠Home Manager
I bombed a memory management question in an interview, so I built a testing lab to understand what really happens when Rust and C allocators collide!
reddit.com·1d·
Discuss: r/rust
0️⃣Zero-Copy
Building a Multi-Modal GPT Agent in TypeScript with OpenAI
dev.to·1d·
Discuss: DEV
λFunctional Programming
Understanding Client-Server Architecture: The Backbone of Web Applications System (Basics conpets of system design)
dev.to·23h·
Discuss: DEV
🕸️WASM
LLMs are the End of Serverless
dev.to·10h·
Discuss: DEV
🕸️WASM
A Start Of A Journey: BillsTechDeck
dev.to·1h·
Discuss: DEV
🕸️WASM
DACTYL: Diverse Adversarial Corpus of Texts Yielded from Large Language Models
arxiv.org·1d
🔍Parsers
Graph Lineages and Skeletal Graph Products
arxiv.org·1d
🔍Parsers
Fusion Sampling Validation in Data Partitioning for Machine Learning
arxiv.org·7h
λFunctional Programming
TokenSpan: Rethinking Prompt Compression with Aliases and Dictionary Encoding
dev.to·13h·
Discuss: DEV
🔍Parsers
Filtering with Self-Attention and Storing with MLP: One-Layer Transformers Can Provably Acquire and Extract Knowledge
arxiv.org·7h
🔍Parsers
Generative AI-Driven Decision-Making for Disease Control and Pandemic Preparedness Model 4.0 in Rural Communities of Bangladesh: Management Informatics Approach
arxiv.org·7h
λFunctional Programming
Building an AI Tokenization Demo: From Workshop to App
dev.to·1d·
Discuss: DEV
🔍Parsers
Patho-AgenticRAG: Towards Multimodal Agentic Retrieval-Augmented Generation for Pathology VLMs via Reinforcement Learning
arxiv.org·7h
🔍Parsers