Google Brings Experimental Generative AI-powered Search in Hindi and English in India

Google is expanding the availability of Search Generative Experience (SGE) to India, aiming to enhance user search results using generative AI technology.

Google announced that its rolling out SGE as an experiment in Search Labs in India in English and Hindi.

Google is using AI innovations in India for Search that focus on bilingual users’ needs, new search capabilities with camera, and a new speech recognition model for Hinglish users.

With generative AI in Search, relevant queries will now have an AI-powered overview showing key information, with links to explore more

The search giant is introducing India-focussed features that are unique to SGE in INDIA, Such as — switch from an English result to Hindi by tapping the language toggle button, listen to the response with Text-To-Speech by tapping the ‘Listen’ button, and Google will also be rolling out an another feature wherein users will be able to tap the microphone icon in conversational mode to ask follow-up questions instead of typing them.

AI-powered Search experience in Hindi
AI-powered Search experience in Hindi

The underlying tech of SGE are multiple large language models (LLMs) including an advanced version of Google’s MUM as well as PaLM 2.

For uninitiated, Google is developing a new technology for answering complex search queries called “MUM,” which stands for Multitask Unified Model. While, PaLM 2 is the latest Large Language Model (LLM) released by Google, in May this year, that is highly capable in advanced reasoning, coding, and mathematics. It’s also multilingual and supports more than 100 languages. PaLM 2 is a successor to the earlier Pathways Language Model (PaLM) launched in 2022.

Moreover, SGE is also available for programming languages and can be used to easily understand and debug code, with color-coded syntax highlighting that makes it easier for programmers to review. SGE currently provides AI-generated overviews to help with tasks across a number of programming languages and tools. For example, you can find answers to how-to questions, and see suggested code snippets for common tasks. Segments of code in overviews are even color-coded with syntax highlighting, so it’s faster and easier to identify elements like keywords, comments and strings, helping you better digest the code you see at a glance.
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