Here is what Sundar Pichai's company unveiled at Google I/O 2024

By Consultants Review Team Wednesday, 15 May 2024

As Sundar Pichai's firm kicked off its annual developers conference, Google introduced a redesigned search engine that would often prioritize results created by artificial intelligence (AI) over website connections. "This brave and responsible approach is fundamental to delivering on our mission and making AI more helpful for everyone," stated the CEO of Google.

The following are the company's main announcements from Google I/O 2024:

Genkit Firebase:

Firebase Genkit, a recent addition to the Firebase platform, will facilitate the development of AI-powered JavaScript/TypeScript apps by developers, and it supports Go. According to the business, the framework may be used for text translation, content creation, summarization, and picture generation. It will be available as open source software.

LearnLM:

A new family of generative AI models that have been "fine-tuned" for learning was revealed by the business. Through a partnership between Google Research and DeepMind AI, the models will "conversationally" educate students in a variety of areas, according to Google.

YouTube quizzes:

Users will be able to "raise their" hand metaphorically while viewing instructional videos on YouTube thanks to AI-generated questions. You may ask questions, get answers, or take a quiz on the topic by using the tool.

Updates on Gemma 2:

According to the firm, June of this year will see the release of the second generation of these models, which will include a new 27-billion-parameter model from Google.

Google Play is getting changes to Play Points, a new app discovery tool, new user acquisition strategies, and new features including the Play Integrity API and Google Play SDK Console.

Frauds during calls:

Google gave consumers a sneak peek at a function that will warn them of possible frauds while on the phone. According to the business, it will be integrated into a next version of Android and use Gemini Nano to efficiently listen for "conversation patterns commonly associated with scams" in real time.

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