Sahishnu
@vsahishnu
I am someone who is interested in a lotta things
Sahishnu
2. Write in a Conversational Tone
Example: Instead of “enterprise software solutions,” use “How to choose the right enterprise softwar... See more
- Use natural language instead of corporate jargon
- Write content answering questions people naturally use rather than marketing buzzwords
- Choose descriptive phrases that match how people search rather than vague keywords
Example: Instead of “enterprise software solutions,” use “How to choose the right enterprise softwar... See more
Michael Menduno • Article
Rosemary Brisco, To the Web
Introduction to Generative AI
learn.udacity.comAttention Is All You Need (2017)(opens in a new tab) by Vaswani et al.
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
Primary Areas of Business Challenges Addressed by GitHub Copilot
- Developer efficiency and productivity : Improving developer speed and reducing code creation time are central goals. The LLM aims to suggest code completions, functions, and tests, alleviating repetitive tasks and accelerating development cycles.
- Code correctness and security : The L
Link
Wiley, Generative AI for Business Leaders, Udacity, 2024
These could be adapted to a marketing team:
Creative efficiency and productivity
Content correctness and security
Personalized creator experience
Antiqua et nova. Noteon the Relationship Between Artificial Intelligence and Human Intelligence (28 January 2025)
vatican.vaVatican exploration about the difference between AI and human intelligence.
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
Link
Fine tuning is essential to differentiating content for content marketing purposes.
Wiley, Generative AI for Business Leaders, Udacity, 2024
These two modes of thinking are referred to as “System 1” and “System 2” thinking in Thinking, Fast and Slow, the late economist Daniel Kahneman’s book about how people make decisions. In the book, he differentiated between the fast, automatic, and intuitive System 1 thinking we use for most everyday decisions, and the slow, deliberate conscious Sy... See more
Michael Taylor • Why AIs Need to Stop and Think Before They Answer
Michael Taylor, Also true for humans, Every, https://every.to/also-true-for-humans/7-22