Artificial intelligence large models refer to artificial intelligence models with ultra-large-scale parameters and data, which can process complex multimodal information such as natural language, images, and audio, and realize intelligent generation, understanding, reasoning and other capabilities. This paper introduces the three application modes of AI large models in digital marketing business: co-pilot, embedded, and agent, and expounds their definitions, principles, application scenarios, effects, advantages and disadvantages, and applicable conditions, and guides product managers and operators on how to choose and use these three modes to improve the efficiency and effectiveness of digital marketing. This article also looks forward to the future of intelligent marketing, believes that the agent model is the most potential and promising model, and encourages readers to pay attention to the column "Intelligent Marketing - How the Large Model Empowers Product and Operation Managers" in the author's personal account "Product Manager Dugu Shrimp" (the same number on the whole network) to get more learning resources and courses.
Co-pilot mode refers to an application mode that uses a large artificial intelligence model as an auxiliary tool for humans to provide information, suggestions, feedback, guidance and other services to help humans complete certain tasks or improve certain capabilities. The principle of co-pilot mode is that the artificial intelligence model understands the needs and goals of human beings through interaction with humans, generates appropriate output according to human input, or gives a reasonable evaluation according to human output, so as to achieve the effect of human-computer collaboration.
The co-pilot mode has many application scenarios and effects in digital marketing business, such as:
l In the e-commerce business, the co-pilot mode can help merchants and buyers communicate and trade more effectively, for example, the artificial intelligence model can be used as a customer service assistant for merchants, answering buyers' frequently asked questions, providing relevant information about products, recommending suitable products, and handling orders and after-sales affairs. It can also be used as a shopping assistant for buyers, according to buyers' preferences, search and filter products, compare ** and quality, remind of offers and activities, give purchase suggestions and feedback and other services.
l In the advertising and marketing business, the co-pilot mode can help advertisers and users to match and push more accurately, for example, the artificial intelligence model can be used as a marketing assistant for advertisers, analyze users' behaviors and interests, generate and optimize advertising copy and materials, test and adjust advertising delivery strategies, evaluate and improve the effectiveness and return of advertising and other functions; It can also be used as an advertising filter for users, according to the user's needs and preferences, blocking and filtering uninterested advertisements, recommending and displaying relevant and valuable advertisements, giving feedback and evaluation of advertisements and other functions.
l In the user growth business, the co-pilot mode can help the product and users to interact and connect more deeply, for example, the artificial intelligence model can be used as a content generator for the product, according to the user's characteristics and scenarios, generate and provide interesting and useful content, such as articles, games, etc., attract and retain users, increase user participation and sharing, and other behaviors; It can also be used as a user's content consumer, according to the user's content, give meaningful and infectious responses, such as comments, likes, **, etc., motivate and reward users, and increase users' trust and loyalty.
The advantage of the co-pilot mode is that it can make full use of the powerful data processing and information generation capabilities of the artificial intelligence model, provide more convenience and value for humans, improve the efficiency and effect of humans, and at the same time, it can also retain the initiative and creativity of humans, so that humans have more choices and controls, and realize the complementarity and collaboration of humans and machines.
The disadvantage of the co-pilot mode is that it requires good interaction and communication between humans and the AI model, humans need to be able to clearly express their needs and goals, and the AI model needs to be able to accurately understand and meet the needs and goals of humans.
The co-pilot mode is applicable to the condition that when humans need to complete some complex, repetitive, or low-value tasks, the co-pilot mode can be used to let the artificial intelligence model provide help and support to humans, reduce the burden and pressure of humans, and improve human experience and satisfaction; When humans need to complete some simple, innovative, or valuable tasks, they can use the co-pilot mode to let the artificial intelligence model provide information and suggestions for humans, stimulate human inspiration and imagination, and improve human abilities and levels.
The embedding mode refers to an application model that uses artificial intelligence models as part of a product or service to be embedded in the core functions or processes of a product or service to provide users with a more intelligent and personalized experience and value. The principle of the embedding model is that the AI model collects, analyzes, processes, and outputs user data and information through integration and collaboration with other parts of the product or service, so as to enhance and optimize the functions of the product or service.
The embedding model has many application scenarios and effects in digital marketing business, such as:
l In the e-commerce business, the embedding model can help improve the display and sales of goods, for example, the artificial intelligence model can be used as a description generator for goods, according to the attributes and characteristics of the goods, generate and optimize the title, details, evaluation and other texts of the goods, and improve the attractiveness and trust of the products; It can also be used as an image generator for goods, according to the style and color of the goods, generate and optimize the visual of the goods, such as ** and dynamics, and improve the aesthetics and authenticity of the goods.
l In the advertising and marketing business, the embedding model can help improve the matching and conversion of advertisements, for example, the artificial intelligence model can be used as a target recognizer for advertising, according to the user's behavior and interests, identify and optimize the user's needs and preferences, match and push the most appropriate advertisement; It can also be used as an effect evaluator for advertising, evaluating and optimizing the delivery and strategy of advertising according to user feedback and behavior, evaluating and optimizing the effectiveness and return of advertising.
l In the user growth business, the embedding model can help improve user satisfaction and loyalty, for example, the artificial intelligence model can be used as a personalized recommender for users, recommending and providing the most suitable content, products, services, etc. according to the user's characteristics and scenarios, so as to increase the satisfaction and joy of users; It can also be used as a user's intelligent question answering device, answering and solving users' questions and doubts according to users' questions and doubts, increasing users' trust and peace of mind.
The advantage of the embedding model is that it can make full use of the powerful data analysis and information processing capabilities of the artificial intelligence model to provide users with a more intelligent and personalized experience and value, improve user satisfaction and loyalty, and at the same time, it can also improve the core competitiveness and differentiation of products or services, and increase the market share and revenue of products or services.
The disadvantage of the embedding model is that it requires a high degree of integration and collaboration between other parts of the product or service and the AI model, and other parts of the product or service need to be able to provide and support the data and information required by the AI model, and the AI model needs to be able to adapt and conform to the functions and processes of the product or service, otherwise, incompatibility and inconsistency may occur, affecting the quality and stability of the product or service.
The applicable condition of the embedding mode is that when the core functions or processes of a product or service need to process a large amount of data and information to achieve a high degree of intelligence and personalization, the embedding mode can be used to allow the artificial intelligence model to provide more powerful and flexible functions and processes for the product or service, and improve the quality and level of the product or service; When the core functions or processes of a product or service do not need to process a large amount of data and information to achieve a high degree of intelligence and personalization, other models can be used to allow the artificial intelligence model to provide other types of services and functions for the product or service, so as to improve the diversity and richness of the product or service.
The agent model refers to an application model that uses the artificial intelligence model as the main body of the product or service, independently interacts and learns with the user or environment, and provides users with a more active and intelligent experience and value. The principle of the agent model is that the artificial intelligence model continuously updates its knowledge and strategies through feedback with users or the environment, realizes the adaptation and optimization of users or the environment, and realizes the autonomy and evolution of the functions of products or services.
The agent model has many application scenarios and effects in digital marketing business, such as:
l In the e-commerce business, the agent model can help to achieve more intelligent and flexible pricing and sales, for example, the artificial intelligence model can be used as an intelligent pricer for goods, according to the supply and demand of goods, competition, seasons, events and other factors, dynamically adjust the quality of goods, to maximize profits and sales; It can also be used as a smart ** for commodities, dynamically adjusting the offers and activities of commodities according to user behavior and feedback, so as to maximize conversion and retention.
l In the advertising and marketing business, the agent model can help achieve more intelligent and flexible delivery and optimization, for example, the artificial intelligence model can be used as an intelligent delivery device for advertising, dynamically selecting and displaying the most appropriate advertisements according to the characteristics and scenarios of users, so as to maximize clicks and conversions; It can also be used as an intelligent optimizer for advertising, dynamically adjusting and optimizing the copywriting, materials, frequency, location and other elements of the advertisement according to the user's feedback and behavior, so as to maximize the effect and return.
l In the user growth business, the agent model can help achieve more intelligent and flexible interaction and connection, for example, the artificial intelligence model can be used as a user's intelligent social device, according to the user's characteristics and scenarios, dynamically generate and provide interesting and useful social content, such as topics, questions, challenges, games, etc., attract and connect users, increase user participation and sharing, and other behaviors; It can also be used as an intelligent guide for users, dynamically generating and providing meaningful and infectious guidance content according to the user's content, such as suggestions, stories, cases, evidence, etc., to guide and influence users, and increase users' trust and loyalty.
The advantage of the agent model is that it can make full use of the powerful data learning and information generation capabilities of the artificial intelligence model to provide users with more active and intelligent experience and value, improve user satisfaction and joy, and at the same time, it can also improve the autonomy and flexibility of products or services, so that products or services can change according to changes in users or environments, and increase the adaptability and competitiveness of products or services. The disadvantage of the agent model is that it requires a low dependency and intervention between other parts of the product or service and the AI model, and the other parts of the product or service need to be able to give and accept the autonomy and intelligence of the AI model, and the AI model needs to be able to comply with and comply with the rules and objectives of the product or service, otherwise, inconsistencies and inconsistencies may occur, affecting the brand and reputation of the product or service. The application condition of the agent model is that when the core functions or processes of a product or service need to deal with uncertain, changing, or complex users or environments, the agent mode can be used to allow the AI model to provide more active and intelligent functions and processes for the product or service, and improve the experience and value of the product or service. When the core functions or processes of a product or service do not need to deal with uncertain, changing, or complex users or environments, other modes can be used to allow the AI model to provide other types of services and functions for the product or service, so as to improve the efficiency and effectiveness of the product or service.
Artificial intelligence models are essential tools for digital marketing business, they can provide different services and functions according to different business scenarios and user needs, achieve different effects and values, and at the same time, they can also continuously learn and optimize according to different business goals and user feedback to achieve different autonomy and intelligence.
Among the three application modes, the agent model is the most promising model, which allows the AI model to interact and learn independently with the user or environment as the main body of the product or service, and provide users with a more active and intelligent experience and value. The development trend of the agent model is that with the continuous improvement of the performance and capabilities of the AI model, as well as the increasing data and information of users or environments, the agent model will be able to handle more complex and diverse users or environments, achieve more accurate and flexible functions and processes, and achieve more optimized and evolved effects and values. The prospect of the agent model is that with the continuous enhancement of the autonomy and intelligence of the AI model, as well as the changing needs and preferences of users or environments, the agent model will be able to provide more personalized and intelligent experiences and values, and achieve deeper and more lasting interactions and connections.
The future of intelligent marketing is the agent model, because the agent model can allow the AI model to better adapt and optimize the characteristics and challenges of the digital marketing business, such as:
l The characteristics of digital marketing business are that it needs to process massive data and information to achieve accurate user portraits, recommendations, matching, optimization and other functions to improve user experience and satisfaction, increase user conversion and retention, and improve business revenue and profits. The agent model allows the AI model to make better use of data and information and achieve more intelligent and personalized functions to improve user satisfaction and joy, increase user loyalty and trust, and improve business competitiveness and revenue.
l The challenge of digital marketing business is that it needs to respond to uncertain, changing, or complex users or environments, achieve a high degree of intelligence and personalization, adapt to the needs and preferences of users, increase user participation and sharing, and improve the influence and reputation of the business. The agent model allows the AI model to better adapt and optimize the user or environment, and realize a more proactive and intelligent process to adapt to the changes and needs of users, increase user interaction and connection, and improve the brand and reputation of the business.
This article is just a brief introduction to the application mode of artificial intelligence model in digital marketing business, if you want to learn more detailed content and ** course, please pay attention to the author's personal account "Product Manager Dugu Shrimp" (the same number on the whole network) in the column "Intelligent Marketing - How the Large Model Empowers Product and Operation Managers". In this column, you will be able to learn more about the knowledge and skills of AI models, how to use AI models to solve practical problems in digital marketing business, how to design and implement more intelligent and innovative digital marketing products and services, how to improve your own product and operational capabilities and levels, and how to grasp and lead the future of intelligent marketing. Thank you for reading and following, I hope you can get useful information and inspiration from this article and column, and you are also welcome to leave your comments and suggestions in the comment area, and communicate and share with the author and other readers. Let's learn and grow together, let's explore and create the future of smart marketing together.