![]() ![]() Feature: Snowflake connection using private key.The DbSchema Reports was renamed to Analytic Applications. The editor can open files up to 500 million of records, depending on the record size. So many new capabilities and the ability for even more people to collaborate with Bard,” Hsiao said.DbSchema 8 DbSchema 8.5.0 CSV Editor for Large FilesĭbSchema include now a CSV Editor for large files. “It’s amazing to see the rate of progress so far with more advanced models. The plan is for Bard to support 40 different languages, starting today with Japanese and Korean, with more to come in the following months. Bard going multilingualĮnglish isn’t the only language that Google’s users speak and soon it won’t be the only language that Bard supports either. Going beyond what Bard itself can directly do with images, Hsiao said that there will be an integration with Adobe Firefly to enable users to generate entirely new images directly within Bard. “So in the next few weeks, Bard will become more visual, both in its responses and your prompts.” ![]() “It’s incredible what Bard can already do with text but images are such a fundamental part of how we learn and express,” Hsiao said. In the next few weeks, Google will be updating Bard to provide images as part of responses to prompts. That’s another area where Google is looking to outpace its rival. To date, both ChatGPT and Bard have been text-based tools providing text-based responses. If a picture is worth a thousand words, Bard is going to get a lot more vocal “As you collaborate with Bard, you’ll be able to tap into services from Google and extensions with partners to let you do things never before possible,” Hsiao said. Going a step further, she announced that more extensibility is coming to Bard with the launch of tools and extensions. Hsiao announced that, starting today, Bard is adding export actions for Gmail and Google Docs, making it easy to integrate generated content. What good is a Bard if you can’t share its work?Īnother limitation of the original Bard was that responses and generated content remained in Bard, but that’s also about to change. Hsiao said that starting next week, Bard will integrate precise code citations to help developers understand exactly where code snippets have come from. With code generation, Bard is also going a step further in its bid to help outpace OpenAI’s capabilities. “Bard can now collaborate on tasks like code generation, debugging and explaining code snippets.” “With PaLM 2, Bard’s math, logic and reasoning skills made a huge leap forward, underpinning its ability to help developers with programming,” Hsiao said. PaLM 2 provides Bard with significantly enhanced generative AI capabilities that exceed the initial functionality that Bard launched with earlier this year. The term “bard” is a word used to describe a storyteller and is a moniker that is also commonly associated with famous English playwright William Shakespeare.īard’s words aren’t written by Shakespeare, or any other human (at least, not directly), but rather are generated from Google’s newest large language model (LLM) PaLM 2, which was also announced at today’s Google I/O event. And since then, the team has been working hard to make rapid improvements and launch them quickly.” Shakespeare isn’t the power behind the Bard - it’s PaLM 2 “We launched Bard as a limited-access experiment on a lightweight large language model to get feedback and iterate. ![]() “Large language models have captured the world’s imagination, changing how we think about the future of computing,” Sissie Hsiao, VP and GM of Google Assistant and Bard, said during a Google I/O keynote. ![]()
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