Llms on Ghafoor's Personal Blog

Foundation Models

noreply@example.com (AG Sayyed) — Wed, 19 Nov 2025 14:32:26 +0000

This document examines foundation models as a transformative AI paradigm, explaining how these models are trained on vast amounts of unstructured data to perform generative tasks and can be adapted to multiple applications. The discussion covers large language models, their advantages in performance and productivity, along with critical challenges in compute costs and trustworthiness.

The Emergence of Foundation Models

Large language models such as ChatGPT have demonstrated remarkable capabilities, from creative writing to complex planning tasks. These models represent a step change in AI performance and their potential to drive enterprise value. Large language models are actually part of a different class of models called foundation models.

Generative AI

noreply@example.com (AG Sayyed) — Wed, 19 Nov 2025 14:24:04 +0000

This document explores generative AI and its evolution, explaining how it differs from discriminative AI by learning to create entirely new content rather than simply classifying data. The discussion covers foundational models, large language models, and the growing market for generative AI tools across diverse applications.

Understanding Artificial Intelligence

Artificial intelligence has been shaping almost every sphere of modern life, revolutionizing how work is performed and how daily tasks are accomplished. At its core, AI can be defined as the simulation of human intelligence by machines.

Evolution of Generative AI

noreply@example.com (AG Sayyed) — Sun, 13 Jul 2025 17:01:07 +0000

This document provides a historical overview of the evolution of Generative AI, detailing its journey from simple rule-based systems to the sophisticated deep learning models of today. It covers key milestones and the technological breakthroughs that have shaped the field.

The Journey of Generative AI

The evolution of generative AI is a story of continuous innovation, spanning several decades. It began with simple, rule-based systems and has progressed to complex models capable of generating content indistinguishable from that created by humans.

Generative AI

noreply@example.com (AG Sayyed) — Wed, 20 Nov 2024 02:33:25 +0000

This document introduces generative AI, explaining its evolution from traditional AI to foundation models, and highlights its transformative role in software development, creativity, and the broader AI landscape.

Artificial Intelligence (AI) has evolved from theoretical research to a pivotal technology, encompassing learning, inferring, and reasoning. Early AI focused on expert systems using languages like Lisp and Prolog. Today, Generative AI significantly impacts software development by automating tasks, optimizing code, detecting bugs, enhancing user experience, augmenting creativity, refactoring code, and generating smart documentation. Future trends highlight efficiency, creativity, low-code platforms, and ethical AI practices ¹.