🔲 Zarr

Chunked Arrays, Cloud Storage, N-dimensional Data, Compression, Parallel Access

Tappybara: Niemand hat die Absicht, Bargeld zu digitalisieren! (dhcp25)
cdn.media.ccc.de·14h
🦆DuckDB
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Objects as Random Access Memory
tbr.bearblog.dev·1d
📦HDF5
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Parsing with zippers improves parsing with derivatives
dl.acm.org·1d·
Discuss: Hacker News
✂Polyadenylation
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"You Don't Need Kafka, Just Use Postgres" Considered Harmful
morling.dev·8h·
Discuss: Lobsters, Hacker News
🦆DuckDB
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Building We Build Forest: A Side Project to Reforest the Planet - with some JS
dev.to·5h·
Discuss: DEV
🚀Streamlit
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Building a Multimodal RAG That Responds with Text, Images, and Tables from Sources
towardsdatascience.com·5h
🔢Embeddings
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The Art of Luminous Code: A Journey with Dynamic `import()` in Node.js
dev.to·2h·
Discuss: DEV
🚀Streamlit
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The best AI inference for your project. Blazing fast responses.
dev.to·1h·
Discuss: DEV
📄FASTQ
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Building PRRover: A FastAPI GitHub PR Reviewer with Telex A2A Integration
dev.to·3h·
Discuss: DEV
📄FASTQ
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ForkQuest - Zork, but you fork the universe
github.com·1d·
Discuss: DEV
🦆DuckDB
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Is Your Data Stuck in the Cloud? Edge Computing to the Rescue!
dev.to·14h·
Discuss: DEV
📦HDF5
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HNG Internship Stage 1: String Analyzer API
dev.to·7h·
Discuss: DEV
🦆DuckDB
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Building a tool to normalize messy support chat data for fine-tuning - would this help you?
reddit.com·11h·
Discuss: r/LLM
🚀Streamlit
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Fast, Scalable LDA in C++ with Stochastic Variational Inference
github.com·10h·
Discuss: r/cpp
🔢Embeddings
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Accelerating AI inferencing with external KV Cache on Managed Lustre
cloud.google.com·3d
📦HDF5
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Enhancing LOD Integrity via Hyperdimensional Semantic Graph Normalization & Automated Anomaly Detection
dev.to·4h·
Discuss: DEV
📦HDF5
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The Case Against PGVector
alex-jacobs.com·12h·
Discuss: Hacker News
🦆DuckDB
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Spiking Neural Networks: The Future of Brain-Inspired Computing
arxiv.org·20h
⛰️Gradient Descent
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AstuteRAG-FQA: Task-Aware Retrieval-Augmented Generation Framework for Proprietary Data Challenges in Financial Question Answering
arxiv.org·20h
🔢Embeddings
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Teach your RAG to learn from its mistakes — the smart way
dev.to·19h·
Discuss: DEV
🦆DuckDB
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