Master Generative AI with 10+ Real-world Projects in 2025!
Enhance e-commerce with automated product descriptions using multi-agent systems for efficiency and accuracy.
Discover how DeepSeek R1's advanced reasoning capabilities enhance decision-making, problem-solving, and AI performance.
Build an RQA System with DeepSeek R1 using Streamlit, FAISS, and HuggingFaceEmbeddings for efficient document retrieval.
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.
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