Google, the tech giant that started as a search engine in a garage, is celebrating its 25th anniversary this month. In its quarter-century of existence, Google has grown to offer a multitude of products and services beyond Google Search, many of which hold dominant market positions like Gmail, Google Maps, Google Cloud, Chrome, YouTube, Workspace, Android operating system, cloud storage Drive, Google Translate), video chat app Meet, Pixel smartphones, Google Assistant, Bard AI and more.
But Google is not resting on its laurels. The company is constantly innovating and exploring new frontiers of artificial intelligence (AI), especially generative AI. Generative AI is a branch of AI that can learn from existing data and generate new data that has similar characteristics but does not repeat it. Generative AI can produce a variety of novel content, such as images, video, music, speech, text, software code and product designs.
One of the most notable examples of generative AI is ChatGPT, a chatbot that can have very human-like conversations with users based on natural language prompts. ChatGPT was launched by OpenAI, a research organization co-founded by Google's former CEO Larry Page. ChatGPT became wildly popular overnight and galvanized public attention to the potential of generative AI.
Another example is DALL·E, an image generator that can create realistic images from text descriptions. DALL·E was also developed by OpenAI and uses a large language model called GPT-3 as its backbone. DALL·E can produce surprising and creative images that demonstrate a high level of visual understanding and imagination.
Google is also developing its own generative AI models and tools, such as Bard, which can generate text from natural language prompts in over 40 languages, including nine Indian languages. Bard is powered by a foundation model called MUM (Multitask Unified Model), which is trained on a large and diverse corpus of data. Bard can help users with various tasks such as writing essays, summaries, stories, poems, lyrics, code and more.
Google is also launching new features to help users better customize their experience, boost their creativity and get more done with generative AI. For example, users can add images in Prompts, listen to Bard's responses out loud and easily adjust Bard's response to be longer or shorter.
Generative AI has many applications across different industries and domains. For example, generative AI can help with drug discovery, chip design, material science development, product innovation, art creation, content generation and more. Generative AI can also enhance customer experience and improve employee productivity by providing personalized and relevant content and solutions.
However, generative AI also poses some challenges and risks that need to be addressed. For instance, generative AI can create artifacts that are inaccurate or biased, which require human validation and verification. Generative AI can also be misused for malicious purposes such as cybercrime or creating fake news or deepfakes that can deceive or manipulate people. Therefore, it is important to ensure the ethical and responsible use of generative AI and to establish trust and transparency with users.
Google is working hard to be part of the generative AI economy and to shape the future of AI with its vision and values. As Google turns 25, it is not only celebrating its past achievements but also looking forward to the next 25 years of innovation and impact.
Source:
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(4) Google Brings Experimental Generative AI-powered Search in Hindi and English in India. https://www.indianweb2.com/2023/09/google-brings-experimental-generative.html.
(5) Generative artificial intelligence - Wikipedia. https://en.wikipedia.org/wiki/Generative_artificial_intelligence.
(6) Google turns 25: the search engine revolutionised how we access information, but will it survive AI?. https://theconversation.com/google-turns-25-the-search-engine-revolutionised-how-we-access-information-but-will-it-survive-ai-212367.
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