IBL News | New York
Google’s Bard included this week an improvement in math and programming and added export action to Google Sheets, the company in a blog-post.
“Bard is getting better at mathematical tasks, coding questions and string manipulation,”
due to a new technique called “implicit code execution”, which helps the AI assistant detect computational prompts and run code in the background.
“So far, we’ve seen this method improve the accuracy of Bard’s responses to computation-based word and math problems in our internal challenge datasets by approximately 30%,” said Jack Krawczyk, Product Lead at Bard. However, “Bard won’t always get it right.”
Google explained that LLMs are like prediction engines. When given a prompt, they generate a response by predicting what words are likely to come next in a sentence. That makes them extremely capable on language and creative tasks, but weaker in areas like reasoning and math. “In order to help solve more complex problems with advanced reasoning and logic capabilities, relying solely on LLM output isn’t enough.”
When given a prompt, they generate a response by anticipating what words are likely to come next in a sentence. That makes them exceptionally good email and essay writers, but somewhat error-prone software developers.
Google also recently added support for new languages, multimodal queries and image generation.
