GitHub Copilot Can Do That?
Burke Holland will give us all the tips and tricks we need to get the most of out of generative AI using GitHub Copilot.
Large Language Models (LLMs) are at the core of generative artificial intelligence (AI). To most of us, even those of us with technical backgrounds and expertise, they can seem like magic. In this talk, Ishan Anand will divulge the secrets behind how the LLM magic works using just a spreadsheet interface and some JavaScript and web components.
Large Language Models like ChatGPT, Claude, & Llama may seem like magic but thanks to an innovative approach you don’t need a Ph.D. to understand how they work. In this session, we’ll use an innovative, web developer friendly approach to decoding AI using a spreadsheet interface built around JavaScript and web components. Using this fully functional implementation of GPT-2 (an early precursor to ChatGPT), we’ll break down the architecture of a basic LLM into digestible, interactive components that let you see inside the brain of an LLM as it works. In 30 minutes, you’ll walk through the anatomy of an LLM, understand how the basics of it works, and even control its mind without prompting.
Ishan Anand is the creator of Spreadsheets-are-all-you-need, a course that teaches the inner workings of large language models (LLMs) through an implementation of GPT-2 (a precursor to ChatGPT) entirely within Excel. He was most recently VP of Product for Edgio Applications, a platform that leverages edge computing, serverless, and AI/ML to enable enterprise teams to accelerate, host, and secure their high-stakes websites. Ishan joined Edgio via the acquisition of Layer0, where he was the CTO and co-founder. Ishan is an experienced speaker on AI, Jamstack, and web performance for conferences such as AI Engineer World’s Fair, AI Tinkerers, Next.js Conf, CascadiaJS, React Day New York, O’Reilly OSCON and more. Ishan holds dual B.S. degrees in Mathematics and Electrical Engineering & Computer Science (EECS) from MIT.
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