📌 Learn how to build an LLM from scratch step by step(without the hype)📌
preview.redd.it·1d·
Discuss: r/LocalLLaMA
🤖AI
Do we understand how neural networks work?
verysane.ai·1d·
Discuss: Hacker News
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Enhanced Real-Time Emotional State Prediction for Adaptive Neural Interface Calibration
dev.to·1h·
Discuss: DEV
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Automated Verification of Model-Based Design Transformations via Formal Methods and Deep Learning
dev.to·1d·
Discuss: DEV
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The Prototype: AI Tools May Degrade Doctors’ Skills
forbes.com·6h
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Beyond Self-Regulated Learning Processes: Unveiling Hidden Tactics in Generative AI-Assisted Writing
arxiv.org·19h
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Automated Knowledge Graph Validation via Multi-Modal Deep Reasoning
dev.to·1d·
Discuss: DEV
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Extending the Entropic Potential of Events for Uncertainty Quantification and Decision-Making in Artificial Intelligence
arxiv.org·19h
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Stress Detection from Multimodal Wearable Sensor Data
arxiv.org·19h
🎵Vibe Coding
Levarging Learning Bias for Noisy Anomaly Detection
arxiv.org·3d
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ParallelSearch: Train your LLMs to Decompose Query and Search Sub-queries in Parallel with Reinforcement Learning
arxiv.org·1d
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Few-Shot Anomaly Detection in Manufacturing via Bayesian Hypernetwork Optimization
dev.to·3d·
Discuss: DEV
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SPHENIC: Topology-Informed Multi-View Clustering for Spatial Transcriptomics
arxiv.org·19h
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Looking for feature absorption automatically
lesswrong.com·3d
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Stationarity Exploration for Multivariate Time Series Forecasting
arxiv.org·2d
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Bridging AI Innovation and Healthcare Needs: Lessons Learned from Incorporating Modern NLP at The BC Cancer Registry
arxiv.org·19h
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Pruning and Malicious Injection: A Retraining-Free Backdoor Attack on Transformer Models
arxiv.org·19h
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HumanSense: From Multimodal Perception to Empathetic Context-Aware Responses through Reasoning MLLMs
arxiv.org·19h
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Dipping Your Toes into AI? Here's What You Should Read.
dev.to·2d·
Discuss: DEV
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UbiQTree: Uncertainty Quantification in XAI with Tree Ensembles
arxiv.org·1d
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