-

The Art & Science of Deploying Generative AI
Generative AI technology, including language models, has evolved into a mesmerizing field where art and science converge. The delicate balance between these contrasting, yet often intertwined domains, plays a critical role in shaping this technology’s future. The scientific aspect is genuinely captivating in its ability to understand data patterns, effectively draw conclusions, and deliver valuable…
-

In Generative AI: Model size matters, but it’s how you use them that counts.
As I talk with clients looking to use Generative AI models they seem to make this erroneous decision that the larger the model is (number of tokens it can process) the better it will be at everything. This is far from the truth. Larger models take more computation power e.g. more money. We are making progress in seeing…
-
Content Watermarking for Trust
Today I came across my first site that actually stated that it was an AI generated page. I was actually trying to understand Cross Indexing vs. VLOOKUP in Excel but the page I landed on had a disclaimer at the top which made me think about how we ensure we can know and more importantly…
-
Choosing Ethical Frameworks in the Generative AI Age
Choosing an ethical AI framework necessitates careful consideration of your organizational needs and ethical concerns, in order to ensure applicability, compliance, and overall fairness. Here are the steps for assessing and choosing an ethical AI framework: 1. Define Purpose: Understand the key objectives and the use-case scenarios for the AI in your organization. This will…