Marketing and AI
About half of workers (52%) say they’re worried about the future impact of AI use in the workplace, and 32% think it will lead to fewer job opportunities for them in the long run, according to a new Pew Research Center survey.
U.S. Workers Are More Worried Than Hopeful About Future AI Use in the Workplace
Pew Research Report, 2/2025
Two important processes for foundation models are:
- Pre-training: this involves using a massive unstructured dataset to train an initial version of the model
- Fine-tuning: this involves using a smaller, targeted dataset to train the foundation model for use in a specific context
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Fine tuning is essential to differentiating content for content marketing purposes.
Wiley, Generative AI for Business Leaders, Udacity, 2024
Why Is AI Now So Popular?
The 21st century has seen a dramatic increase in AI accuracy due to:
Generative AI has become increasingly powerful and is redefining what mankind is capable of.
The 21st century has seen a dramatic increase in AI accuracy due to:
- Advancements in processors
- Automated mining of big data
- Improved Machine learning algorithms, and
- Development of pre-trained AI models with open-source frameworks.
Generative AI has become increasingly powerful and is redefining what mankind is capable of.
Link
Wiley, Gen AI for Business Leaders, Udacity
Strategic Prompting for Guided Generation
- Providing clear instructions and constraints : Airbnb used prompts to guide the GenAI models towards generating specific types of content, such as recommendations tailored to a guest's budget and travel preferences, agent suggestions for resolving inquiries, or chatbot paraphrases that maintained natural
Link
Wiley, Generative AI for Business Leaders, Udacity, 2024
Popular generative AI tools also use reinforcement learning in order to make improvements based on human perception. This is called Reinforcement Learning from Human Feedback (RLHF) and is a major reason why newer generative AI tools have gotten so much better.
Link
Wiley, Generative AI for Business Leaders, Udacity, 2024
The Modern AI Marketer in GPT Era - Pam Didner
pamdidner.com
Book to read in 2 hours
Key Innovations in Model Architecture
Two innovations have driven a lot of the recent improvements in Generative AI:
Two innovations have driven a lot of the recent improvements in Generative AI:
- Encoder-decoder system: two neural networks that compress and then expand the data
- Attention mechanism: ensures that important information isn't lost in the compression and expansion process, by "paying attention" to the important
Introduction to Generative AI
Wiley, Generative AI Business Leaders, Udacity, 2025
Foundation for the GTP.
AI (Artificial Intelligence) and ML (Machine Learning) are two overlapping categories , in which popular applications involve tasks that require human-like intelligence and learning. AI encompasses any computer program aiming to replicate human intelligence, while ML algorithms use statistical models to perform tasks without explicit programming.
Link
Wiley, Generative AI for Business Leaders, Udacity, 2024
RAG, which stands for "Retrieval Augmented Generation," is a strategy in artificial intelligence where a large language model (LLM) retrieves relevant information from an external knowledge base (like a database or document collection) before generating a response to a user query, ensuring the response is more accurate and contextually relevant by... See more
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