The Evolution of AI: From Monolithic to Task Specific Models

The field of artificial intelligence (AI) has been rapidly evolving, with new advancements and breakthroughs happening at an unprecedented pace. One of the most significant trends we’ve recently observed is the shift from monolithic, all-encompassing AI models to more specialized, task-specific models. This shift mirrors the historical trend in software development, where we moved from monolithic applications to microservices-based architectures. From Monolithic to Microservices In the past, software applications were often built as monolithic structures, where a single application would handle all the functionality and features. Continue reading

Cultivating the Garden of Data With AWS DataZone

I have said it many times before, “Data is the new seed of innovation.” Data stands as the foundational seed from which innovation sprouts, but how we manage and nurture this data determines whether we cultivate a thriving garden of insights or merely a compost heap of unsorted information. Enter Amazon DataZone. What is Amazon DataZone? Amazon DataZone is a data management service designed to streamline the process of cataloging, discovering, governing, sharing, and analyzing data. Continue reading

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 reading

The 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 reading

Shadow 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

AWS Community Builders!

I woke up to a very surprising email this morning! I have been invited to participate in the AWS Community Builders program for the next 12 months with a focus on storage technology. The AWS Community Builders program offers technical resources, mentorship, and networking opportunities to AWS technical enthusiasts and emerging thought leaders who are passionate about sharing knowledge and connecting with the technical community. I am very excited to join this program as I look to share more frequent and relevant content with the AWS community! Continue reading