Using LLM Embeddings to Normalize User Data
matthodges.com·17h·
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🧠AI
Causal Identification of Sufficient, Contrastive and Complete Feature Sets in Image Classification
arxiv.org·1d
🧠AI
Deriving Rope the Proper Way
nor-blog.pages.dev·2d·
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🤝Multi-Agent Systems
Show HN: VectorSeek – Private AI-Powered Search
vectorseek.ai·2d·
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🧠AI
Show HN: Gomoku game in JavaScript (GitHub and live demo)
github.com·7h·
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🧠AI
Not everything needs GPT. Sometimes a simple equation will do
danielball.com·2d·
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🧠AI
Graded Transformers: A Symbolic-Geometric Approach to Structured Learning
arxiv.org·4d
🕷️GraphRAG
Phylo-rs: an extensible phylogenetic analysis library in Rust
bmcbioinformatics.biomedcentral.com·12h·
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🗃️databases
Using Scaling Laws for Data Source Utility Estimation in Domain-Specific Pre-Training
arxiv.org·2d
🧠AI
Geometric Operator Learning with Optimal Transport
arxiv.org·4d
🕷️GraphRAG
Investigating the Invertibility of Multimodal Latent Spaces: Limitations of Optimization-Based Methods
arxiv.org·1d
🧠AI
Gemini Embedding: Powering RAG and context engineering
developers.googleblog.com·3d·
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🧠AI
AWS Introduces Vector Capabilities on Amazon S3
infoq.com·3d·
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🗃️databases
A Library Approach to Constant Template Parameters
brevzin.github.io·8h·
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✨UI generation
AI-powered pixels: Introducing Google's Satellite Embedding dataset
medium.com·3d·
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🧠AI
Show HN: Dfembed is a Rust-powered Python lib turning DataFrames into vector db
github.com·3d·
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🗃️databases
Ask HN: How to visualize all human thought
news.ycombinator.com·15h·
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🧠AI
Show HN: An API to extract structured data from any document without training
ninjadoc.ai·1d·
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✨UI generation
Show HN: Cortex – OS-wide AI with instant context input
cortexdesktop.com·5h·
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✨UI generation
Step3
stepfun.ai·2d·
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🧠AI