The sources introduce Generative AI (AIGC), a deep learning technology that creates new content using techniques like Generative Adversarial Networks (GANs), Autoencoders, Recurrent Neural Networks (RNNs), and Reinforcement Learning (RL). ComfyUI is highlighted as a powerful, open-source, node-based Stable Diffusion interface offering flexibility, customizability, speed, and efficiency for image generation.
The content explains RLHF (Reinforcement Learning from Human Feedback), a three-step process used in models like ChatGPT, involving data collection, model fine-tuning, reward model training, and reinforcement learning with algorithms like PPO. A significant focus is placed on DeepSeek, a 2025 large language model that emphasizes efficiency and cost-effectiveness. Its innovative architecture includes Mixture of Experts (MoE), Multi-Head Latent Attention (MLA), Shared Experts, Node Limited Routing, and the FP8 algorithm, allowing it to achieve powerful results with fewer computational resources.
Finally, Diffusion models are discussed as the current mainstream for text-to-image generation, which transform random noise into target data iteratively. However, these models face challenges such as high demands for training data, computing resources, long generation times, and limited output control. The sources conclude by noting that while AIGC offers wide applications, it also presents issues like resource consumption, bias, and impacts on human creativity and employment, necessitating future research and regulation.

Youtube :
www.youtube.com/@LittlePrinceQuestLab
https://youtu.be/hYkczzE_gBo

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