Interesting to see an open-source model genuinely compete with frontier proprietary models for coding
πOpen Source
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Reproducible C++ builds by logging Git hashes
π³Git
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ConSurv: Multimodal Continual Learning for Survival Analysis
arxiv.orgΒ·1d
π§ Machine Learning
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TawPipe: Topology-Aware Weight Pipeline Parallelism for Accelerating Long-Context Large Models Training
arxiv.orgΒ·1d
πNaiad
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Cifar-100 classifier in PyTorch (with demo)
π₯PyTorch
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Structured Output Generation in LLMs: JSON Schema and Grammar-Based Decoding
pub.towardsai.netΒ·5h
π³Tree-sitter
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FedCure: Mitigating Participation Bias in Semi-Asynchronous Federated Learning with Non-IID Data
arxiv.orgΒ·1d
π¦Folly
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Temporal Properties of Conditional Independence in Dynamic Bayesian Networks
arxiv.orgΒ·1d
β
Model Checking
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LLM Output Drift: Cross-Provider Validation & Mitigation for Financial Workflows
π¦Ollama
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My 5-Day AI Agents Intensive Journey β And How I Built a Google-Native MindsEye OS Using 6 Repos
π¬Prompt Engineering
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Built a unified interface to access ChatGPT, Claude, Gemini, and more in one place
π¦Ollama
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