Google İ O 2024 New Groundbreaking Features Of Gemini Ai By Google Ceo Sundar Pichai 1 11, youtube mp3 indir
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Google I/O 2024 - New Groundbreaking Features of Gemini AI - By Google CEO Sundar Pichai - 1/11
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Source : • Google Keynote (Google I/O ‘24)
Summary of Google IO 2024 Keynote
Introduction and AI Journey
At the Google IO 2024, the keynote commenced with a warm welcome to the thousands of developers present at Shoreline, along with the millions joining virtually worldwide. The keynote humorously likened Google IO to a tech version of a concert tour, albeit with fewer costume changes. The keynote set the stage for Google’s current focus, which they term the "Gemini era," marking a significant shift towards AI-centric innovations.
Google emphasized its decade-long investment in AI, highlighting their advancements across various layers such as research, product development, and infrastructure. The keynote underscored that despite significant progress, the field of AI is still in its nascent stage, brimming with opportunities for creators, developers, startups, and the broader tech community. This era, driven by the Gemini AI models, aims to harness these opportunities and push the boundaries of what AI can achieve.
Gemini AI Models
A year prior, Google had introduced Gemini, a frontier model designed to be inherently multimodal—capable of processing and reasoning across text, images, video, code, and more. This represented a substantial leap towards transforming any input into any output, heralding a new generation of AI capabilities. Since its introduction, Gemini models have demonstrated state-of-the-art performance across various multimodal benchmarks.
Two months after the initial introduction, Google unveiled the Gemini 1.5 Pro, which marked a breakthrough in handling long contexts. This model can manage 1 million tokens in production consistently, outperforming other large-scale foundation models. To democratize access to these advancements, Google has integrated Gemini models into a wide array of tools, attracting over 1.5 million developers who utilize them for debugging code, gaining insights, and building advanced AI applications.
Integration Across Google Products
The keynote highlighted how Gemini’s capabilities have been integrated into Google’s product ecosystem, enhancing experiences across search, photos, workspace, Android, and more. Notably, all of Google’s 2 billion user products now leverage Gemini models, and new user experiences have been introduced, particularly on mobile platforms. The Gemini Advanced app, available on Android and iOS, provides access to the latest models, with over 1 million users signing up within three months of its launch.
Transformations in Google Search
One of the most significant transformations driven by Gemini has been in Google Search. Over the past year, the search-generated experience has handled billions of queries, enabling users to search in novel ways, including using photos and complex queries. The revamped search experience, featuring AI Overviews, is being rolled out in the U.S., with plans to expand to more countries soon. This new search experience not only increases search usage but also enhances user satisfaction.
Enhancements in Google Photos
Google Photos, launched nearly nine years ago, has become a vital tool for organizing memories, with over 6 billion photos and videos uploaded daily. With Gemini, searching through these vast collections has become more intuitive. Users can now ask complex queries, such as identifying a license plate number from photos or tracking a child’s swimming progress. This functionality, termed "ask photos," will roll out in the summer, allowing users to search their memories in a more profound way.
Multimodality and Long Context
Gemini’s multimodal capabilities mean it can handle various types of inputs—text, images, audio, video—and find connections between them. This expands the range of questions users can ask and the answers they can receive.
0:00 - Introduction to Google IO 2024
0:30 - Welcome Address
1:04 - Reflecting on AI Investments
1:37 - Introducing Gemini: A Multimodal Model
2:05 - Advancements in Gemini Models
3:05 - Gemini in Consumer Products
3:36 - Gemini Transformations in Google Search
4:39 - Integration of Gemini in Google Photos
6:32 - Gemini's Multimodal Capabilities
7:28 - Developer Testimonials on Gemini 1.5 Pro
9:48 - Rollout of Gemini 1.5 Pro with Long Context
10:39 - Expanding Context Window to 2 Million Tokens
11:20 - Combining Multimodality and Long Context in Google Workspace
12:01 - Gemini in Google Workspace Labs
12:53 - Early Demo of Audio Output in Notebook LM