How Do I Train Generative AI Models to Produce Desired Results?

Introduced publicly in 2022, generative AI has swiftly made its presence known. According to a McKinsey Global Survey conducted in mid-April 2023, the resonance of generative AI is already reverberating across industries. Among the respondents, 60% regularly utilize generative AI within their organizations. Furthermore, 28% of organizations have already integrated generative AI into their future agenda.

The surge of generative AI in marketing has been nothing short of a phenomenon—an evolution that demands our attention and curiosity. In this blog, we aim to shed light on how generative AI is changing marketing and advertising strategies in this age of technology. We will explore the benefits of using generative AI in advertising and how it's transforming the advertising landscape with AI-generated content, ad innovation, and ad technology.

How Businesses and Agencies Can Start Using Generative AI Today

According to a study by the National Bureau of Economic Research, generative AI tools such as ChatGPT can enhance workforce productivity by an average of 14%. Remarkably, several companies confirm they experienced boosts of up to 400% by integrating generative AI into their operations.

Now, the conversation has shifted from whether to use generative AI, to how to use it effectively. This roadmap guides you on incorporating generative AI in marketing efforts and stride confidently into strategic innovation.

1. Understand the fundamentals: Start by understanding what generative AI is — how it functions and its potential applications to your line of business.

If you haven’t used AI personally yet, do not fret. Know that the social media platforms you are using are actually already integrated with AI. You might be familiar with Facebook's audience targeting, TikTok's Automated Creative Optimization (ACO), and YouTube's brand safety AI partners. These are all AI-powered, and have only driven these platforms to more efficient campaign generation and monitoring.

2. Define your objectives: Identify your specific goals for using generative AI. Whether enhancing content creation or analyzing ad insights, clarity about your goals ensures a focused and effective implementation.

3. Choose the right tools: With over 250 types of generative AI tools around, it’s easy to get lost. Do your research and choose the tools that align with your marketing objectives. Look for user-friendly interfaces, scalability, and the ability to integrate with your existing tech stack.

Consider ChatGPT for high-quality content generation. On the other hand, Bard AI is for multifaceted tasks, including content planning, marketing strategy, and even code/script creation. Further, Google Bard is integrated with - you guessed it - Google, making it an effective tool for real-time research.

4. Train generative AI models: Generative AI thrives on prompts that steer its creative output. Invest time honing your prompt creation skills – understanding how to frame queries and requests that yield desired results.

5. Implement and iterate: To test the waters and gather insights, begin with small-scale implementations. Gradually expand your generative AI initiatives, fine-tuning your strategies based on the outcomes and responses you receive.

6. Training and development: Equip your team with the knowledge and skills to work with generative AI in marketing campaigns and strategies effectively. Provide training sessions and resources that empower your staff to navigate and maximize the potential of generative AI applications.

7. Monitor and adapt: As generative AI evolves, so should your strategies. Be proactive – attend industry conferences, join online communities, and engage with experts. This perpetual learning approach ensures your strategies align with the latest generative AI applications, tools, and techniques.

Generative AI Is Here To Stay

Generative AI's influence is expanding, bridging the gap between human creativity and artificial intelligence. This evolution reshapes industries, particularly AI-powered advertising, and requires our attention and adaptation. Generative AI is no longer a novelty; it's an essential part of the advertising landscape.

If you’d like to learn more about the potential of generative AI in marketing, we’re here to provide guidance and insights. We can share examples of generative AI in advertising and discuss what we can learn from successful campaigns. We invite you to a brief chat to discover how generative AI, with its machine-learning capabilities, can enhance ad performance and become an asset in your advertising endeavors.