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How to install and run Qwen2.5 models locally with Ollama? Leveraging its MoE architecture, 128K context length & multilingual support.
Build an efficient RAG system using DeepSeek R1 with Ollama. Explore its retrieval accuracy, reasoning & cost-effectiveness for AI.
Kokoro-82M is a lightweight yet powerful TTS model offering high-quality speech, multi-language support, and real-time processing.
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.
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