Leveraging AI without losing creativity — Yaniv Makover // Anyword

Yaniv Makover, CEO of Anyword, talks about how AI is transforming creative industries. While AI can assist in content generation, it should be seen as a tool to enhance and augment human creativity rather than replace it. Striking the right balance between leveraging AI capabilities and nurturing one's own creativity is essential to maximize the potential of both and achieve truly remarkable outcomes. Today, Yaniv discusses leveraging AI without losing your creativity.
About the speaker

Yaniv Makover

Anyword

 - Anyword

Yaniv is the CEO of Anyword

Show Notes

  • 02:22
    Leveraging AI without losing your creativity
    Large language models, generative AIs underlying technology, have built-in creativity and can produce creative output. To leverage AI for creativity, provide it with guidance on the desired tone of voice, target audience, and where the AI should adhere to messaging guidelines.
  • 05:08
    Enhancing accuracy in AI generated copy
    Large language models' word-by-word guessing process can result in factual inaccuracies, but future improvements will include fact-checking capabilities. Implementing safeguards like providing background information and defining the target audience can minimize inaccuracies.
  • 07:22
    How Anywords technology differs from ChatGPT and Bard
    Anywords predictive model considers audience, channel, and business goals to rank and fine-tune copy variations. Companies can also create value on top of the large language model stack by incorporating their own performance data and workflows for users.
  • 09:58
    Tips for leveraging large language models for effective copywriting
    Its crucial to remember that AI is just a tool and marketers still need to focus on strategy, tone, and understanding their audience. Furthermore, besides copywriting, large language models can be used to generate ideas for blog posts and refine drafts for different target audiences.
  • 12:57
    The evolving role of copywriters in the age of AI
    While generative AI tools have reduced the need to write content from scratch, it has also created new demands. Editing and refining content, ensuring it aligns with branding and messaging, and orchestrating personalized versions for various channels have become crucial.
  • 15:34
    Empowering generative AI to become an expert in your domain
    Fine-tuning involves training the model with specific data to become an expert in a particular domain. Pre-processing utilizes prompts and instructions to guide the model's responses, and post-processing involves reviewing and aligning the generated results with your policies.

Quotes

  • "Large language models, which is the underlying technology behind generative AI, the way they work is that they have built-in creativity." -Yaniv Makover, CEO, Anyword

  • "I think a lot of the work has to be done around telling the AI how you want it to be creative. So, tone of voice, your target audience, where you want it to stick to your messaging, and where you don't." -Yaniv Makover, CEO, Anyword

  • "A large language model knows a lot of things about a lot of different things. But, it doesn't know when it doesn't know because it's just guessing word by word." -Yaniv Makover, CEO, Anyword

  • "You can test our copy versus a copy you'll create with ChatGPT and Bard, and our copy will do better." -Yaniv Makover, CEO, Anyword

  • "When you can use ChatGPT or any language model to create 1000 versions of an email or a tweet, then you really have to know what will do well. So, that's what we bring to the table." -Yaniv Makover, CEO, Anyword

  • "AI is not replacing marketers, just like calculators didn't replace mathematicians." -Yaniv Makover, CEO, Anyword

About the speaker

Yaniv Makover

Anyword

 - Anyword

Yaniv is the CEO of Anyword

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