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GitHub’s Copilot goes multi-model to enable developers choose AI models of their choice

Developers on GitHub can now choose between popular LLMs from OpenAI, Google, and Anthropic.

GitHub Universe 2024Universe 2024 is held in n San Francisco, USA. (Image credit: GitHub)

On Tuesday, at its annual developer conference Universe 2024, GitHub, the world’s most popular code repository, announced that it is going multi-model, enabling developers to choose from the world’s most popular large language models (LLMs), such as Anthropic’s Claude 3.5 Sonnet, Google’s Gemini 1.5 Pro, and OpenAI’s GPT-4o, o1-preview, and o1-mini.

Developers can toggle between different models during a conversation on Copilot chat or continue to use the default model. Anthropic’s Claude 3.5 Sonnet model will be available via GitHub Copilot starting today, and Google’s Gemini 1.5 Pro model will be made available later this week.

The platform also introduced GitHub Spark, an AI-native tool that helps developers build and customise fully functional web apps entirely using natural language. This enables even non-coders to write instruction sets in human-readable format, which is then converted into executable code using AI.

“It is clear the next phase of AI code generation will not only be defined by multi-model functionality, but by multi-model choice. Today, we deliver just that,” says GitHub CEO Thomas Dohmke.

Similarly, GitHub also released the 2024 edition of its Octoverse report, indicating GitHub as the most widely adopted Copilot-powered developer platform in India with over 17 million developers, which also makes India the fastest-growing developer community in the world.

The report also highlights that Indian developers are the second-highest contributors to open-source projects on GitHub, and these developers are leveraging GitHub Copilot to contribute to projects addressing societal challenges and promoting sustainable development.

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  • artificial intelligence GitHub
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