Artificial Intelligence Archives

What’s best? OpenAI Agents, AWS Bedrock, or LangChain?

November 8, 2023November 11, 2023

In the realm of AI, efficiency and precision are paramount. LangChain once stood as a crucial bridge, offering integrations and Retrieval-Augmented Generation (RAG). Yet, the landscape shifts. OpenAI Agents emerged, learning in stride with human users. AWS Bedrock followed, a bastion of business-oriented AI, offering secure, codeless integration of generative models.

In the vein of Hemingway’s style—clear and direct— I’ll share my view on the contrasting landscapes of OpenAI Agents, AWS Bedrock, and LangChain.

AI-MediSphere™ – The Cardiovascular Prognosticator

July 1, 2023July 1, 2023

Heart diseases are the #1 cause of death every year. Why? It’s usually already too late when people realize something is wrong and contact a medic. How can we help people realize sooner, and simultaneously, how can we help medics save lives?

Our app, powered by a chatbot AI, collects minimal but crucial user data related to cardiovascular health, including age, weight, gender, lifestyle factors, blood pressure, cholesterol, and glucose levels. With this information, the chatbot provides personalized explanations and recommendations, guiding users to consult a medical professional if necessary. By offering tailored insights, our app aims to empower individuals to take proactive steps toward their cardiovascular well-being, potentially saving lives through early detection and intervention.

NVIDIA Triton Spam Detection Engine of C-Suite Labs

June 30, 2022July 2, 2022

This has been a joint project of NVIDIA and AWS Community Builder in Machine Learning program.

This article describes the architecture of the state-of-the art Spam Detection Engine of C-Suite Labs consisting of multiple inter-dependent distinct classifiers delivering real-time, high-performance superior accuracy with minimum required manual review.

Machine Learning and Artificial Intelligence

February 4, 2022April 9, 2022

I present my distilled view of some important applications of ML, and explain the full procedure from ML to AI, when it makes sense to invest in it. I am grateful for my direct experience, business and social engagement with Companies, Projects, and key people that have contributed to my vision. Machine Learning is a vast and prolific topic where people and Companies do make mistakes. ML is not a magic crystal ball. Machines can be more accurate at recognizing patterns than humans, but not supernatural intelligence that magically extracts information where it doesn’t exist. We should always challenge and interpret results.