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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LLMMistral AI has launched Mistral Small 4, bringing powerful agentic workflows, robust multimodal capabilities, and strict data sovereignty to enterprise environments. Discover how this lightweight model tackles GDPR compliance while outperforming heavier alternatives.
Machine LearningHugging Face recently introduced a methodology that eliminates structural rendering bottlenecks in Agentic RL. Discover how prefix-preserving chat templates and strict token-level operations can save your training loops.
LLMAnthropic just dropped Claude Opus 4.8 with unprecedented tool-calling precision and a revolutionary fast mode. Discover how these updates fundamentally alter the landscape for building dynamic AI workflows.
Deep LearningNuMind recently released NuExtract 3, a highly efficient 4B-parameter vision-language model. Explore how to replace legacy OCR pipelines with this advanced VLM to extract high-fidelity Markdown and structured JSON from complex documents.
Deep LearningThriftAttention leverages selective mixed precision to run long-context LLMs in FP4. Discover how this breakthrough reduces memory bandwidth without sacrificing model accuracy.
Deep LearningMicrosoft Research has introduced SkillOpt, a framework that allows autonomous AI agents to build, optimize, and manage their own tools. Discover how this executive strategy moves us from static prompt engineering to dynamic agent evolution.
Deep LearningNVIDIA recently introduced Gated DeltaNet-2 to revolutionize linear attention by decoupling the erase and write mechanisms. We explore how this independent channel-wise gating allows the 1.3B parameter model to surpass Mamba-2 and Mamba-3 in long-context retrieval.
Deep LearningStandard reinforcement learning treats language model outputs as a single pass or fail grade. Discover how DelTA introduces token-level credit assignment to isolate and reward correct reasoning steps without expensive human annotations.
LLMUIUC researchers recently unveiled Spreadsheet-RL, a novel reinforcement learning framework that teaches AI agents to execute complex tabular tasks. Discover how this breakthrough overcomes the spatial reasoning limits of language models to automate multi-step spreadsheet manipulation.
