Technology Videos

Building Agentic AI Workloads – Crash Course

The video provides a crash‑course on agentic AI, tracing the evolution from early AI research to today’s generative‑AI boom and the emergence of autonomous agents. Raali explains that AI rests on three pillars—algorithms, data, compute—and shows how each has exploded: datasets now span terabytes to petabytes, models have grown from millions to trillions of parameters, and parallelized transformer architectures have turned serial training into massive parallel workloads. This convergence created “Hulk” foundational models that can understand and generate human language across a wide range of tasks. Key milestones are highlighted: the 2017 transformer paper, OpenAI’s ChatGPT launch in 2022, and the 2023 ReAct paper that merged reasoning with action, ushering in the “year of agents.” Raali notes that agents now control file systems, browsers, and can spawn other agents, while the term “agentic systems” is used to capture the spectrum of autonomy. For enterprises, the shift to model‑as‑a‑service means AI capabilities are now offered by a few cloud giants, making in‑house development cost‑prohibitive but also opening new integration opportunities. Because the field evolves faster than academic consensus, practitioners must track timestamps on research and be cautious about deployment risks such as hallucinations and shifting best practices.