Prompt ≠ Purpose: Why Goal-Directed Behavior in Agentic AI Demands More Than Just Good Prompts

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Imagine this: you ask a generative AI tool to “summarize last quarter’s procurement activity for compliance reporting.” Within seconds, it produces a well-structured summary, complete with headings and bullet points. So far, so good. Next, you instruct it to email the report to the compliance officer, attach the raw data for audit purposes, and log the interaction in your internal documentation system. Here’s where the system begins to falter. It doesn’t remember which procurement dataset it used in the first step. It requires you to re-specify the compliance officer’s details, the file format, the logging protocol, and the context all over again. 

Why Generative AI and RAG?

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This article explores three key areas: Generative AI and its patterns, the Retrieval-Augmented Generation (RAG) framework, and AWS’s role in supporting this journey. What is Generative AI? Generative AI is a type of artificial intelligence focused on the ability of computers to use models to create content like images, text, code, and synthetic data. The…

Small Language Models are the New Big Thing in AI

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Throughout the history of technology, we’ve witnessed the evolution of software applications—from massive monolithic servers to sleek microservices and miniaturized platforms. History, indeed, has a way of repeating itself, and Generative AI is no exception to this cyclical progression. Today when you consume ChatGPT, Gemini, CoPilot the intelligence comes from the centralized computing: Consuming Large…

Private GPTs: Evaluating LLMs for your Business

Private GPTs: Evaluating LLMs for your Business

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Chat GPT has sparked a seismic shift in business and technology, embodying the nature of a double-edged sword. On one hand, it rapidly attracted over 100 million users in its first two months; on the other, it navigated a data breach, emerging with just a few scars. As a substantial number of professionals turn to these tools to boost productivity, organizations and IT leadership are devising innovative strategies to incorporate these technologies into their operations without compromising security. Among these advancements, the emergence of Private GPTs stands out as particularly promising.