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๐ป Local LLMs
Model Quantization, Inference Optimization, GGUF Format, Privacy-preserving AI
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OBCache: Optimal Brain KV Cache Pruning for Efficient Long-Context LLM Inference
arxiv.org
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15h
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Self-hosted AI
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Three Solutions to Nondeterminism in AI
blog.hellas.ai
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2d
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A small number of samples can poison LLMs of any size
dev.to
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16h
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LoRA Explained: Faster, More Efficient Fine-Tuning with Docker
docker.com
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1d
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Self-hosted AI
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RND1: Simple, Scalable AR-to-Diffusion Conversion
radicalnumerics.ai
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23h
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Analyzing Dialectical Biases in LLMs for Knowledge and Reasoning Benchmarks
machinelearning.apple.com
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1d
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SPAD: Specialized Prefill and Decode Hardware for Disaggregated LLM Inference
arxiv.org
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15h
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LLM Optimization Notes: Memory, Compute and Inference Techniques
gaurigupta19.github.io
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4d
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The Hidden Oracle Inside Your AI: Unveiling Data Density with Latent Space Magic by Arvind Sundararajan
dev.to
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1d
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Edge AI
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Towards a Typology of Strange LLM Chains-of-Thought
lesswrong.com
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21h
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Neuro-Symbolic AI
en.wikipedia.org
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4h
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Neuromorphic Chips
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Evaluating Gemini 2.5 Deep Think's math capabilities
epoch.ai
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Scaling LLM Multi-turn RL with End-to-end Summarization-based Context Management
arxiv.org
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1d
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Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning
arxiviq.substack.com
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1d
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Operationalizing Data Minimization for Privacy-Preserving LLM Prompting
arxiv.org
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3d
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Self-hosted AI
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Show HN: Nanowakeword โ Automates custom wake word model training
github.com
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7h
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Real-Time Adaptive Sparsity Optimization for Edge-Deployed AI Inference Accelerators
dev.to
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9h
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The key to conversational speech recognition
datasciencecentral.com
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1d
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Voice Interfaces
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Expanding the Action Space of LLMs to Reason Beyond Language
arxiv.org
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15h
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[D] Anyone using smaller, specialized models instead of massive LLMs?
reddit.com
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1d
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r/MachineLearning
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Distributed systems
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