IBL News | New York
Google announced that it plans to embed generative AI in Gmail and Google Docs yesterday, as shown in the video below.
These features of this “collaborative AI partner” are not out yet. They will be launched via Google’s tester program, starting with English in the U.S., this month.
“From there, we’ll iterate and refine the experiences before making them available more broadly to consumers, small businesses, enterprises, and educational institutions in more countries and languages,” wrote Johanna Voolich Wright Vice President, of Product at Google Workspace.
For now, Google says it is only “sharing our broader vision” across Gmail, Docs, Slides, Sheets, Meet, and Chat.
A “help me write” box in Gmail and Google Docs will let users type what they want
and AI will spit out a block of text based on that prompt. In addition, Google’s “collaborative AI partner” into Workspace will result in these features:
- draft, reply, summarize, and prioritize your Gmail
- brainstorm, proofread, write, and rewrite in Docs
- bring your creative vision to life with auto-generated images, audio, and video in Slides
- go from raw data to insights and analysis via auto completion, formula generation, and contextual categorization in Sheets
- generate new backgrounds and capture notes in Meet
- enable workflows for getting things done in Chat
Google Cloud also announced generative AI support in Vertex AI and Generative AI App Builder, helping businesses and governments build gen apps.
So far, the company has opened up API access to a language model, but it hasn’t been any real consumer product launch.
Analysts interpret that Google is in total panic over the rise of ChatGPT and AI-powered text. Just like how Google put social features into every product back in the G+ days, the plan going forward is to build ChatGPT-style generative text into every Google product.
Google AI Announcement:
– PaLM API & MakerSuite
– AI in Gmail, Google Docs & workspace
– Generative AI support in Vertex AI
– Generative AI App Builder
– Partnerships, programs, and resources for each segment of the ecosystem pic.twitter.com/NHZ5zVo2EK
— Ben Tossell (@bentossell) March 14, 2023
Here’s our LLaMA-13B fine tuned with RLHF & SFT
This has only been trained on 3% of our total dataset size, and no NSFW yet.
It is better than GPT3.5
We’re open sourcing all weights and inference code in a few days after training pic.twitter.com/QEcG8OOzG9
— simp 4 satoshi (@iamgingertrash) March 16, 2023