Lobsters Interview with Susam
lobste.rsยท6hยท
Discuss: Lobsters
๐Ÿ““Jupyter
Graph rag pipeline that runs entirely locally with ollama and has full source attribution
reddit.comยท10hยท
Discuss: r/programming
โšกDataFusion
Day 28: The 10x Performance Breakthrough
dev.toยท3hยท
Discuss: DEV
โšกDataFusion
Forging Data Symphonies: The Art of the ETL Pipeline in Rails
github.comยท22hยท
Discuss: DEV
๐ŸงŠIceberg Tables
Show HN: I made a generative online drum machine with ClojureScript
dopeloop.aiยท12hยท
๐Ÿ”งFunctional Programming
The Capability-Tractability Tradeoff (2023)
buttondown.comยท43mยท
Discuss: Hacker News
๐Ÿ›ก๏ธMemory Safety
From SQL to Python: Uniting Stored Power with Functional Flexibility
dev.toยท7hยท
Discuss: DEV
๐Ÿ’พDatabases
Smarter Tuning: LLMs Automate Hyperparameter Magic
dev.toยท13hยท
Discuss: DEV
โš™๏ธQuery Compilers
EdgeBERT: I Built My Own Neural Network Inference Engine in Rust
dev.toยท10hยท
Discuss: DEV
๐Ÿฆ€Rust Scientific
AI Coding at a Crossroads: Disposable Code Editors and Flawed Benchmarks
kevinkuipers.substack.comยท20hยท
Discuss: Substack
๐Ÿ“‹Tokei
Why the Oracle-OpenAI deal caught Wall Street by surprise
techcrunch.comยท1h
๐Ÿ›๏ธLakehouse Architecture
ReBaNO: Reduced Basis Neural Operator Mitigating Generalization Gaps and Achieving Discretization Invariance
arxiv.orgยท17h
๐Ÿค–AI
Analog Optical Computer for Inference and Combinatorial Optimization
hackaday.comยท19h
๐Ÿ’กOptical Computing
We engineered RAG to be 50% faster
elevenlabs.ioยท12hยท
Discuss: Hacker News
๐ŸงฎApache Calcite
Low-Rank Attention: Scaling Transformers Without the Quadratic Cost
lightcapai.medium.comยท5hยท
Discuss: Hacker News
๐Ÿค–AI
MetaRAG: Metamorphic Testing for Hallucination Detection in RAG Systems
arxiv.orgยท17h
โšกDataFusion
Automating multi-language SDK doc generation with testable code snippets
docs.hatchet.runยท22hยท
Discuss: Hacker News
๐Ÿ“‹Tokei
The Alchemist's Endgame: My Final Synthesis of p-adic Clojure and Legacy Code.
dev.toยท7hยท
Discuss: DEV
๐Ÿ“‹Tokei
Beyond the Hype: Essential Skills and Strategies for Aspiring Machine Learning Engineers
dev.toยท4hยท
Discuss: DEV
๐Ÿ”AI Detection