AIGC

The Upstream, Midstream, and Downstream of AIGC Industry Chain

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The Upstream, Midstream, and Downstream of AIGC Industry Chain

AIGC stands for Artificial Intelligence Generated Content, which refers to content generated automatically using artificial intelligence technologies, particularly deep learning algorithms. AIGC is a new content creation method that follows Professional Generated Content (PGC) and User Generated Content (UGC). AIGC encompasses many different industries and applications. Based on the characteristics of the AIGC industry, its … Read more

When Not to Use Generative AI: Alternative AI Technologies

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When Not to Use Generative AI: Alternative AI Technologies

Left Hand Workplace, Right Hand AI With Stories, Methods, and Tools January 20, 2025 Article 19 of 2025, Original Article 785 Full text 2682 words, reading time about 8 minutes Since OpenAI launched ChatGPT on November 30, 2022—a technology known as Generative AI (AIGC, Artificial Intelligence Generated Content), the application of AIGC has started to … Read more

Colossal-AI: Reducing AIGC Training Costs Significantly

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Colossal-AI: Reducing AIGC Training Costs Significantly

Machine Heart released Machine Heart Editorial Team How to better, faster, and cheaper achieve training and fine-tuning of AIGC models has become the biggest pain point for the commercialization and explosive application of AIGC. Colossal-AI, based on its professional technical accumulation in democratizing large models,open-sourced a complete Stable Diffusion pre-training and personalization fine-tuning solution, accelerating … Read more

The Art of Probability: Deriving Diffusion Model Theory

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The Art of Probability: Deriving Diffusion Model Theory

↑ ClickBlue Text Follow the Jishi Platform Author丨Fugtemypt@Zhihu (Authorized) Source丨https://zhuanlan.zhihu.com/p/680813516 Editor丨Jishi Platform Jishi Guide Clarifying the theoretical foundation behind the Diffusion Model. >> Join the Jishi CV technology group to stay at the forefront of computer vision Introduction About a year ago in the autumn, I heard friends mention that a tool called StableDiffusion, an … Read more

Review of Generative AI Developments (2024)

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Review of Generative AI Developments (2024)

Since OpenAI officially released ChatGPT in November 2022, the AI technology ecosystem has experienced rapid advancement. The public has transitioned from a state of confusion to a thrilling and exciting experience, and now to feelings of unease due to the cost-cutting and efficiency improvements brought by their respective companies. The world is changing so quickly, … Read more

AI Developer Perspective: Evolution of Large Model Infrastructure and Middleware Toolchain in 2024

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AI Developer Perspective: Evolution of Large Model Infrastructure and Middleware Toolchain in 2024

I originally planned to write an article titled “A Two-Year Review of ChatGPT” to echo last year’s summary article on the first anniversary of ChatGPT. However, I’ve been too busy lately, and now that it’s almost mid-January, this topic no longer seems appropriate. So, I’ve decided to change the subject and discuss the developments over … Read more

Stop Large Model Hallucinations: Milvus, The Database of AI Native Era

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Stop Large Model Hallucinations: Milvus, The Database of AI Native Era

Introduction With the development of large models, vector databases have also ushered in broader application prospects. They not only assist large models in inference acceleration but also save costs for users. Moreover, vector databases are an effective means to address the limitations of large models. As a result, more and more large model deployment projects … Read more