Google’s Bard AI chatbot now available to help write code

Google is updating its generative AI chatbot, Bard, to enable people to write software code

Google is updating its generative AI chatbot, Bard, to enable people to write software code. This is part of the company’s efforts to catch up with Microsoft and OpenAI in the fast-moving artificial intelligence technology race. Bard, which was launched last month, uses generative AI technology to create content by relying on past data and now supports 20 programming languages, including Java, C++, and Python. The chatbot can also debug and explain code to users and optimize code for faster and more efficient performance.

Google’s move to make Bard available for software development shows the growing importance of AI technology in the tech industry. The chatbot is an experiment in collaboration with generative AI, and the company aims to improve it further by gathering feedback from users.

The release of Microsoft-backed OpenAI’s chatbot, ChatGPT, in 2020, has led to a race among technology companies to put AI into the hands of more users. Google’s update of Bard to include programming languages is part of its efforts to stay competitive in this area.

Currently, Bard can be accessed by a limited number of users who can chat with the bot and ask questions, instead of using Google’s traditional search tool. However, with the addition of programming languages, Bard’s potential for software development is significant.

Google’s announcement of Bard’s new capabilities has implications for the tech industry, particularly for software developers who could potentially use the chatbot to streamline their coding processes. Bard’s ability to optimize code with simple prompts could also be useful for businesses looking to improve the performance of their software systems.

In conclusion, Google’s update of Bard to include programming languages shows the company’s commitment to staying competitive in the race for AI technology. The chatbot’s ability to help write code, debug and explain code to users, and optimize code for faster performance could be significant for software developers and businesses looking to improve their software systems.

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