Prompt Engineering with AI: The Art of Asking for What You Want
In the world of sales, one principle has stood the test of time: the importance of asking for what you want. Whether it’s nudging a prospect towards a deal or clarifying a client’s needs, the clarity of one’s ask can make or break the outcome. Interestingly, the same logic applies in the realm of AI, particularly in the emerging discipline of Prompt Engineering. What is Prompt Engineering? At its core, prompt engineering is the science and art of designing effective prompts to guide AI models, specifically language models, to produce desired outputs. Continue readingThe Corporate Ladder & Generative AI Training: How Alex's Professional Journey Mirrors AI Training Techniques
In the rapidly evolving world of artificial intelligence, understanding advanced techniques can sometimes feel overwhelming, but what if we could unravel these complexities through a relatable narrative? In this blog post, we’ll journey alongside Alex, a fresh business graduate, and discover how his professional experiences draw uncanny parallels with the intricacies of generative AI models. From prompt engineering to fine-tuning and domain adaptation, let’s dive into the world of AI, all through the lens of Alex’s corporate adventures. Continue readingShadow Deployments on AWS Part 1: Lambda@Edge
Shadow deployments have become increasingly popular among organizations as they strive to minimize downtime and ensure smooth transitions during application updates. My goal is in this post is to help illustrate how easy and powerful it is to utilize Lambda@Edge to enable shadow deployments in a production setting for any kind of HTTP based web service. I will soon publish a “part two” that focuses on how Amazon SageMaker’s native shadow testing capabilities also support this deployment methodology to compare new or tuned ML models vs. Continue reading