Face and basic landmarks detection using mediapipe models with efficiency and very good accuracy and draw on image or save detected faces using opencv in python.
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LLMThe newly released MLPerf Training v6.0 benchmarks heavily feature GPT-OSS 20B, a 21-billion parameter open-weights Mixture-of-Experts model. This release signals a massive industry shift toward sparse computation and high-parameter efficiency for dramatically reduced training costs.
LLMRunning local AI models often involves hours of downloading and testing incompatible weights. LLMFit is a new hardware-aware recommendation engine that instantly calculates a unified Fit score to match your exact system specs with the optimal local model.
Deep LearningAlphaGo visionary David Silver is spearheading a massive shift away from static datasets. With a historic seed round and next-generation NVIDIA hardware, Ineffable Intelligence is building systems that learn continuously from real-time experience.
LLMLMCache is an open-source library that dramatically reduces Time-To-First-Token by decoupling and sharing KV caches across LLM deployments. We explore its architecture, performance benefits, and how to integrate it into your existing vLLM pipelines.
LLMAnthropic's Claude Fable 5 introduces dynamic reasoning and proactive coding capabilities. Discover how this paradigm shift optimizes token usage and redefines the development of autonomous AI agents.
LLMTraditional LLM agents fail when their environments change. Discover how the new EvoArena framework from MIT applies evolutionary biology to agent memory for robust dynamic adaptation.
LLMHugging Face Skills introduces a standardized framework that allows autonomous coding agents to natively interact with the machine learning ecosystem. Discover how this release transforms agents from simple code generators into capable MLOps orchestrators.
LLMCohere has open-sourced North Mini Code, a 30B-parameter MoE model that brings powerful agentic coding capabilities directly to your local hardware. Operating with just 3B active parameters, it delivers unprecedented inference efficiency and complex reasoning under a permissive Apache 2.0 license.
LLMMistral AI has disrupted the open-weights landscape once again with the sudden release of Mistral-Small-4-119B-2603. We analyze its massive architecture, enterprise deployment strategies, and what this 119-billion parameter giant means for the future of open source AI.
