Next iteration of our Voice Assistant is here - Voice chapter 10
home-assistant.ioยท1d
๐ŸŽ™๏ธWhisper
How To Prepare Your API for AI Agents
thenewstack.ioยท15h
๐Ÿ”ŒInterface Evolution
Vibe Coding a Speed Reading App with Python in Just 15 Minutes
kdnuggets.comยท15h
๐Ÿ—œ๏ธLZSS Variants
Why does the Rust compiler use TokenTree instead of flat token streams?
reddit.comยท1dยท
Discuss: r/rust
๐Ÿ”’Linear Types
Rust: A language that grows with you, your career and your projects
kerkour.comยท23hยท
Discuss: Hacker News
๐Ÿฆ€Rust Macros
LOGICPO: Efficient Translation of NL-based Logical Problems to FOL using LLMs and Preference Optimization
arxiv.orgยท2d
๐Ÿ”—Monadic Parsing
Persona-Assigned Large Language Models Exhibit Human-Like Motivated Reasoning
arxiv.orgยท1h
๐ŸŽฏDependent Parsing
Lessons from LangChain and Slack and MCP Integration
medium.comยท1dยท
Discuss: Hacker News
๐Ÿ”—Topological Sorting
From Codicology to Code: A Comparative Study of Transformer and YOLO-based Detectors for Layout Analysis in Historical Documents
arxiv.orgยท1h
๐Ÿ“ƒManuscript Tokenization
Programming by Backprop: LLMs Acquire Reusable Algorithmic Abstractions During Code Training
arxiv.orgยท2d
๐Ÿ’ปLocal LLMs
Exploring High Efficiency Web Analysis Results๏ผˆ1750904353002600๏ผ‰
dev.toยท2hยท
Discuss: DEV
๐ŸŒŠStream Processing
Apps Script MCP Server
dev.toยท9hยท
Discuss: DEV
๐Ÿ”CBOR
Enterprise Large Language Model Evaluation Benchmark
arxiv.orgยท1h
โš™๏ธCompression Benchmarking
Accurate and Energy Efficient: Local Retrieval-Augmented Generation Models Outperform Commercial Large Language Models in Medical Tasks
arxiv.orgยท1h
๐ŸŒ€Brotli Internals
Deep Dive into Databend UDF, implementing your data solutions with python, WASM and beyond
dev.toยท9hยท
Discuss: DEV
๐Ÿ“‹DFDL
SACL: Understanding and Combating Textual Bias in Code Retrieval with Semantic-Augmented Reranking and Localization
arxiv.orgยท1h
๐Ÿ”BitFunnel
On Union-Closedness of Language Generation
arxiv.orgยท2d
๐Ÿ”—Monadic Parsing
Define-ML: An Approach to Ideate Machine Learning-Enabled Systems
arxiv.orgยท1h
๐Ÿง Machine Learning
Shrinking the Generation-Verification Gap with Weak Verifiers
arxiv.orgยท2d
๐ŸงชCBOR Fuzzing
Unleashing AI/ML Inference: The Power of WebAssembly and WASI at the Edge
dev.toยท2dยท
Discuss: DEV
๐ŸŒWASI