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Step-by-step guide on building YOLOv11 model from scratch using PyTorch for object detection and computer vision tasks.
Explore Beam Search in NLP decoding and how it refines text generation by balancing exploration and accuracy.
Qwen2.5-Max rivals DeepSeek V3 with MoE architecture, 20T tokens & advanced fine-tuning. Explore its performance, benchmarks, and more.
Looking to run DeepSeek models locally on your own machine? Learn how to do it with ease using Google Colab and Ollama.
Kimi k1.5 is a Chinese AI model leveraging reinforcement learning for advanced reasoning. It excels in math, coding, and more.
DeepSeek Janus Pro 7B, a state-of-the-art multimodal AI that outperforms competitors in reasoning, text-to-image, and instruction-following.
Multimodal LLMs that integrate text, images & video to enhance AI capabilities in tasks like image captioning, object detection & reasoning.
Learn Neural Network Weight Quantization techniques to optimize model size, speed, and efficiency without accuracy loss.
Explore how multimodal agentic frameworks revolutionize AI by integrating text, images, and more. Learn about Camel AI, its toolkits & more.
Learn how to fine-tune Phi-4 on a custom dataset locally and upload the model to Hugging Face for efficient deployment.
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