How to Create Your Own AI GPT: A Developer’s Guide
dev.to·22h·
Discuss: DEV
🤖AI
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Linear Differential Vision Transformer: Learning Visual Contrasts via Pairwise Differentials
arxiv.org·23h
🧭Vector Databases
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Continuous Autoregressive Language Models
shaochenze.github.io·1h·
Discuss: Hacker News
🎮Reinforcement Learning
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Beyond Standard LLMs
magazine.sebastianraschka.com·15h·
Discuss: Hacker News, r/LLM
🎮Reinforcement Learning
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Open Source Context-Aware PII Classifier
corp.roblox.com·8h·
Discuss: Hacker News
🔧Feature Engineering
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Detailed Technical Documentation on AI Implementation Logic (Taking Large Language Models as an Example )
nbtab.com·19h·
Discuss: DEV
🔧Feature Engineering
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Everything About Transformers
krupadave.com·5d
🧭Vector Databases
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Automated Figure-Text Alignment & Knowledge Extraction for Scientific Literature
dev.to·5h·
Discuss: DEV
🔧Feature Engineering
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Topographical sparse mapping: A training framework for deep learning models
sciencedirect.com·7h·
Discuss: Hacker News
🔧Feature Engineering
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Attention ISN'T all you need?! New Qwen3 variant Brumby-14B-Base leverages Power Retention technique
venturebeat.com·8h
🎮Reinforcement Learning
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Hybrid channel attention network for auditory attention detection
nature.com·2d
🎮Reinforcement Learning
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DynBERG: Dynamic BERT-based Graph neural network for financial fraud detection
arxiv.org·23h
🕸️Graph Databases
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Hybrid-Attention models are the future for SLMs
inference.net·1d·
Discuss: Hacker News
🎮Reinforcement Learning
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Anatomically Constrained Transformers for Echocardiogram Analysis
arxiv.org·23h
🔧Feature Engineering
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Post-training methods for language models
developers.redhat.com·21h
🎮Reinforcement Learning
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Optimizing Native Sparse Attention with Latent Attention and Local Global Alternating Strategies
arxiv.org·23h
🤖AI
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The Science of AI Internal State Awareness
responseawareness.substack.com·12h·
Discuss: Substack
🎮Reinforcement Learning
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[P] triplet-extract: GPU-accelerated triplet extraction via Stanford OpenIE in pure Python
reddit.com·1d·
🧭Vector Databases
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Unlock the Power of GANs: Train with Tiny Datasets!
dev.to·9h·
Discuss: DEV
🎮Reinforcement Learning
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