I made a transformer by hand (no training)
vgel.me·12h·
Discuss: Hacker News
Optimizing Geometry Problem Sets for Skill Development
arxiv.org·13h
Hyper-Efficient Approximate Nearest Neighbor Search via Quantized Graph Embeddings
dev.to·1d·
Discuss: DEV
EmbeddingGemma - 300M parameter, state-of-the-art for its size, open embedding model from Google
huggingface.co·1h·
Discuss: r/LocalLLaMA
The maths you need to start understanding LLMs
gilesthomas.com·1d·
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Natural Latents: Latent Variables Stable Across Ontologies
lesswrong.com·17h
Learning Machine Learning in Elixir | zacksiri.dev
zacksiri.dev·1d
Vector search filtering: Keep it relevant
elastic.co·1d
3 Greedy Algorithms for Decision Trees, Explained with Examples
towardsdatascience.com·1d
Let’s Look Inside An Answer Engine And See How GenAI Picks Winners via @sejournal, @DuaneForrester
searchenginejournal.com·4h
Accelerating PDE Solvers with Equation-Recast Neural Operator Preconditioning
arxiv.org·1d
CMRAG: Co-modality-based document retrieval and visual question answering
arxiv.org·1d
The (sometimes rocky) road to a paper
lmao.bearblog.dev·2h·
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How big are our embeddings now and why?
newsletter.vickiboykis.com·20h·
Discuss: Lobsters, Hacker News
Guide to RAG and MCP: Choosing the Right Path for LLMs
digitalocean.com·8h
Automated ACE Inhibitor Lead Optimization via Multi-Modal Data Fusion and HyperScore Scoring
dev.to·7h·
Discuss: DEV
Exploring the Design Space of Fair Tree Learning Algorithms
arxiv.org·13h
K-means is an essential algorithm for Data Science.
threadreaderapp.com·6h
Guide to Visual Data Mining using Parallel Coordinates
analyticsvidhya.com·7h
ML Systems: Motivating Dense Models
jacobkahn.me·19h·
Discuss: Hacker News