Vector Representations, Semantic Space, Neural Networks, Dimensionality Reduction

Post-training methods for language models
developers.redhat.com·1d
💬Prompt Engineering
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Writing an LLM from scratch, part 27 – what's left, and what's next?
gilesthomas.com·2d·
Discuss: Hacker News
💬Prompt Engineering
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📢 New Series: Neuro-Symbolic Wednesday
dev.to·22h·
Discuss: DEV
🤖Transformers
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Exploratory Analysis of Cyberattack Patterns on E-Commerce Platforms Using Statistical Methods
arxiv.org·1h
🦠Malware Analysis
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Spring AI RAG, Demystified: From Toy Demos to Production-Grade Retrieval
dev.to·6h·
Discuss: DEV
🔍RAG
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Online Learning to Rank under Corruption: A Robust Cascading Bandits Approach
arxiv.org·1h
🕸️Graph Theory
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Probabilistic Robustness for Free? Revisiting Training via a Benchmark
arxiv.org·2d
🧠Machine Learning
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**Unveiling the Future of Distributed Training: 'Split Learn
dev.to·5h·
Discuss: DEV
🔥PyTorch
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AI and Emotional Data Privacy: Balancing Innovation with Human Trust
dev.to·1d·
Discuss: DEV
🔒Digital Privacy
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Biological Regulatory Network Inference through Circular Causal Structure Learning
arxiv.org·1d
🧬Computational Biology
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From searching to solving: how Vector Databases transform product discovery
dev.to·2d·
Discuss: DEV
🔍RAG
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Q-Sat AI: Machine Learning-Based Decision Support for Data Saturation in Qualitative Studies
arxiv.org·1d
🧠Machine Learning
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Deep Neural Watermarking for Robust Copyright Protection in 3D Point Clouds
arxiv.org·3d
👁️Computer Vision
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Shape-Shifting AI: Making Models That Adapt to Data
dev.to·3d·
Discuss: DEV
📱Edge AI
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