Google's Bard Chatbot Levels Up With Implicit Code Execution And Enhanced Problem-Solving Skills

Google has introduced exciting new features and improvements to its AI chatbot, Bard. According to Sundar Pichai's tweet, Bard now incorporates implicit code execution, which enables it to run code in the background when encountering computational prompts. This advancement enhances Bard's accuracy in solving word and math problems by approximately 30%. The chatbot has also gained the ability to respond more accurately to string manipulation, coding questions, and mathematical operations.

 

Google's approach to enhancing Bard's capabilities takes inspiration from the "System 1" and "System 2" thinking described in Daniel Kahneman's book, "Thinking, Fast and Slow." By combining the strengths of Large Language Models (System 1) and traditional code (System 2), Bard's reasoning and math abilities have significantly improved. In internal challenge datasets, the accuracy of Bard's responses to computation-based problems has seen an impressive 30% increase.

 

In addition to these updates, Google has introduced a new export feature for Bard, allowing users to export the tables created in Bard's responses directly to Google Sheets. This feature provides users with greater convenience in managing and analyzing the information generated by Bard.

 

These enhancements showcase Google's commitment to advancing AI technology and providing users with an engaging and accurate chatbot experience. With improved logic and reasoning skills, Bard continues to evolve as a powerful AI assistant for users worldwide.

 

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