For those unfamiliar, GitHub is a super popular, web-based platform (owned by Microsoft) that allows developers to store, share, and collaborate on code. Their AI Copilot (powered by OpenAI) has been around for months. Now, GitHub’s Copilot is officially multi-model, supporting Anthropic’s Claude, Google’s Gemini, and OpenAI’s GPT-4 variants. This shift signals the end of the “single model era,” as GitHub CEO Thomas Dohmke put it. The choice, he asserts, empowers developers to match models to specific tasks, policies, languages, and personal preferences.
It’s a big strategic move for Microsoft. The introduction of Anthropic’s Claude 3.5 Sonnet, followed soon by Google’s Gemini 1.5 Pro, complements existing options like OpenAI’s GPT-4o and o1. Each model brings unique strengths — faster or smaller models suit low-latency needs, while complex models tackle tasks demanding high accuracy. This isn’t merely a feature add; it’s a step toward customizable AI at the developer’s fingertips.
Food for thought as you think about which models are best suited for your upcoming AI projects.
Author’s note: This is not a sponsored post. I am the author of this article and it expresses my own opinions. I am not, nor is my company, receiving compensation for it. This work was created with the assistance of various generative AI models.
About Shelly Palmer
Shelly Palmer is the Professor of Advanced Media in Residence at Syracuse University’s S.I. Newhouse School of Public Communications and CEO of The Palmer Group, a consulting practice that helps Fortune 500 companies with AI strategy, implementation and governance, as well as technology, media and marketing. Named one of LinkedIn’s Top Voices in Technology, he is a bestselling author, covers tech and business for Fox 5’s Good Day New York, is a regular commentator on CNN, and writes the popular daily business blog Think About This. Follow @shellypalmer or visit shellypalmer.com.