After more than a year of development, AIGC has gradually moved from text dialogue and picture generation to video generation.
Looking back four months ago, the birth of Sora caused a reshuffle in the video generation track, which greatly promoted the scope and depth of AIGC's application in the field of video creation. In an era when everyone is talking about large models, on the one hand we are surprised by the visual shock brought by video generation, on the other hand we are faced with the problem of difficulty in implementation. It is true that large models are still in a running-in period from technology research and development to application practice, and they still need to be tuned based on actual business scenarios, but the distance between ideal and reality is gradually being narrowed. As an important implementation scenario of artificial intelligence technology, marketing has become a direction that many companies and practitioners want to make breakthroughs. Once you master the proper methods, the creation process of marketing videos will be more effective with less effort. How can we use AIGC to improve video creation efficiency? In the second issue of the video column "AIGC Experience Party" jointly launched by Volcano Engine and NVIDIA on this site, two guests will discuss this issue in depth. Before spoiling the second issue, let’s review the highlights of the first issue. In a wonderful live broadcast on June 19, Ban Lichan, founder of CMO Club, and Luo Yihang, head of AI solutions at Volcano Engine, discussed the implementation scenarios of AIGC "From interesting to useful, how AIGC promotes marketing growth" ”. At the beginning of the interview, Ban Lichan asked a question: What are the applications of AIGC in the field of marketing? And how to apply AIGC to be more efficient? Regarding this issue, Luo Yihang said that AI applications have widely penetrated into many fields, such as code development, social entertainment, etc., and are especially mentioned the most in the field of marketing. But in the field of marketing, people should pay more attention to the practicality, efficiency and effectiveness of AIGC, rather than staying at the interesting and fun stage. At present, it seems that AIGC has penetrated into every aspect of marketing. "In terms of marketing, what is the difference between current large models, generative AI and traditional AI?" Ban Lichan asked this question. Luo Yihang answered from the following three levels: - First of all, the marketing supported by AIGC has greatly improved the effect of content creation. For example, when traditional AI writes copywriting, the technology behind it mostly uses templates, rules, etc., and the copywriting produced is relatively rigid and fixed. With the support of AIGC, the copywriting will be more creative;
- The second point is that it covers more scenes. For different scenarios, traditional AI needs to be constantly customized. In comparison, the efficiency and cycle of customization in the era of large models have been greatly improved, and model optimization can be carried out through prompt words;
- The third point is that AIGC is more creative and creative.
Luo Yihang said that although the overall level of the large model is relatively strong, it cannot replace human experts in some fields. Technicians can optimize through debugging to achieve the final effect. Regarding the question of "how marketers choose AIGC tools and how to measure the results of AIGC tools", Luo Yihang believes that it needs to be evaluated from three indicators: - Creation efficiency improvement (corresponding to the customer contact stage) )
- Interaction improvement (corresponding to the customer acquisition stage)
- Conversion efficiency improvement (corresponding to the customer acquisition stage)
Luo Yihang also uses the intelligent creation platform of the volcano engine, the new multi-perspective Carlog, and sales Assistant gave a more in-depth answer as an example. Volcano Engine provides a range of tools to meet these three metrics.山 He talked about the panoramic view of the volcanic engine in AIGC marketing, mainly including: volcanic engine AIGC experience marketing panorama
- First of all, on the base, there is the Volcano Engine bean bag large model and the Volcano Ark model service platform;
- On the application layer, the Volcano Engine will provide services in stages and by indicators.
The Volcano Engine hopes to satisfy all aspects of marketing through the overall promotion and iteration of the model layer and application layer. Finally, Ban Lichan asked: "What role can AI play for corporate marketing departments?" Luo Yihang believes that we should treat it as a partner first, and AI may change in the future However, with the current capabilities of AI, it cannot replace employees at all. What we need to do is to make good use of AI. In the future, with the iteration of technology, AI will develop in the direction of digital employees. The first issue review viewing address: https://vtizr.xetlk.com/s/7CjTy (or identify the QR code below). 
After reviewing the content of the first issue, the excitement continues, The second issue of "AIGC Experience Party" was officially launched on June 26, with the theme of "Fast meeting customers, how to use AIGC to improve the efficiency of marketing video creation?". The two big-name guests in the second episode are Wu Jiashuo, head of intelligent creation cloud operations of Volcano Engine, and Liu Yiming, solution architect of NVIDIA. How to achieve long-term operation is the core of every business. Volcano Engine Intelligent Creation Cloud has used AIGC and other technologies to improve the quality and efficiency of content marketing for enterprises. The intelligent creation cloud provides enterprises with a backend for video cloud creation management, thereby achieving efficient cross-department collaboration. By accessing large models, Intelligent Creation Cloud provides AIGC creation assistant within the product. Through AI technology, the Intelligent Creation Cloud also provides a new editing mode. In order to better distribute content, Intelligent Creation Cloud also improves reach efficiency by building a multi-platform, multi-account publicity and distribution matrix. In fact, AIGC video creation is based on the efficient use of AI models. For creators who need training, NVIDIA provides the NeMo framework, which greatly improves the training of AI models; for creators who do not have special customization needs, NVIDIA launches the TensorRT inference optimization framework; for those who do not have in-depth development capabilities or model optimization experience The creator, NVIDIA, also provides NIM to complete the inference optimization and deployment of the model. Some of the most popular questions include: Making good use of AIGC, how to make the creation speed match the marketing speed? From creation to distribution, how to detonate local traffic through the matrix? What are the core capabilities behind AIGC video creation? All the above questions will be revealed in the second issue of "AIGC Experience Party". Live broadcastRegistration
On June 26th at 7pm, come to the live broadcast room to watch. If you use AIGC to create marketing videos, you can register by scanning the QR code. Have you currently used AIGC in your daily work? We welcome your feedback. We have prepared some small gifts, please remember to fill in the mailing information.
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