2024年AI到底从何学起？AI绘图、AI大语言模型、AI生成视频、AI生成语音各个赛道下都有哪些值得学习的项目 midjourney、SDwebUI、comfyUI、DALL-E3各有什么优势？

This paragraph discusses the recent surge in interest in AI following the release of Sora and the subsequent delisting of Dr. Li Yizhou's course. It highlights the competitive nature of the AI field and the general public's growing curiosity about AI technologies. The speaker chooses not to comment on the controversy surrounding Dr. Li but emphasizes the importance of providing structured educational content for newcomers to AI. The video's creation date is noted for context, and the rapid evolution of AI tools is acknowledged.

The paragraph provides an in-depth look at the major AI image generation tools available, including MJ, SD (Stable Diffusion), and DALL-E. It compares their advantages and limitations, such as user-friendliness, image quality, and controllability. The speaker shares insights into the learning curve associated with each tool and offers practical advice on selecting the appropriate tool based on individual needs and project requirements. The paragraph also touches on the commercial viability of using these tools for creating images and the challenges associated with consistency and detail in the generated images.

This section delves into the specifics of three prominent applications based on the SD model: WebUI, Fooocus, and ComfyUI. The speaker provides a detailed analysis of their features, ease of use, and suitability for different use cases. WebUI is noted for its high controllability and plugin support, Fooocus for its simplicity and free usage, and ComfyUI for its professional, node-based workflow. The speaker also discusses the learning path for these tools and the importance of understanding the underlying parameters for effective use.

The speaker introduces additional tools in the AI image generation space, such as Photoshop's Firefly and DALL-E. Firefly is highlighted for its integration within Photoshop and its utility for professional graphic designers. DALL-E is recognized for its powerful text understanding and ability to create complex scenes. The paragraph also addresses the cost associated with using these tools and the copyright considerations that come with generating images using AI.

This paragraph introduces the concept of large language models and multimodal AI, exemplified by ChatGPT and Gemini. The capabilities of these models, such as text summarization, language translation, and interaction, are discussed. The speaker provides insights into the pricing and accessibility of these models and offers a personal comparison between ChatGPT and Gemini Ultra. The rapid development and competition among AI companies are also noted, with a mention of upcoming models like Claude 3.

The final paragraph covers AI video generation and voice synthesis technologies. It discusses the challenges of creating smooth and coherent videos with AI and the current limitations of available tools. The speaker warns against fraudulent claims regarding the use of Sora for video generation. The paragraph also explores AI voice synthesis, including text-to-speech and voice translation, and highlights notable products in the market such as 11Labs, HeyGen, and GPT-SOVITS. The speaker emphasizes the need for caution and discernment when evaluating AI products and services.

In the concluding paragraph, the speaker summarizes the key points discussed in the video, which include the various AI technologies like image generation, large language models, video generation, and voice synthesis. The rapid evolution and development of AI are reiterated, and the speaker expresses hope for continued progress in the field. The video ends with an invitation for viewers to engage with the content, ask questions, and learn together in their AI journey.