Introduction
Google held the I/O Connect event in Bengaluru recently where it unveiled new AI solutions developed specifically for India. The tech goliath shared new features about its Large Language Models (LLMs) and the new unrestricted tools to drive India’s emerging AI market. It briefly explores the major statements and their relevance to the IT environment in India.
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Gemini and Gemma: Fueling the Future Of AI
Google’s Gemini 1.5 Pro model has enhanced the context window to 2 million parameters facilitating developers to work with large volumes of data. The newly introduced Gemma 2 is even more revolutionary with the possibility of up to 27 billion parameters, enabling advanced natural language processing tasks. These advancements are already starting to roll; currently, over 1.5 million developers use Gemini models throughout the world.
IndicGenBench: Monitoring AI Performance In Indian Languages
IndicGenBench, is the first of its kind benchmark tool and it is evident that Google is incredibly invested in India’s multilingualism. It enables developers to measure the AI model performance for the country and its diverse linguistic regions, making AI technologies more beneficial and inclusive.
Empowering Indian Developers: Cost Savings And Cloud Subscriptions
Concerning the pricing model, one can observe that Google is keen on promoting the ICT talent pool in India. Google revealed that most of the Google Maps Platform APIs would now be 70% cheaper, making richer mapping features available. Besides that, Google in partnership with the Open Network for Digital Commerce (ONDC) provides special offers for 40 percent to 90 percent off for most APIs. Also, Indian developers can now get up to $350K in Google Cloud credits to give a big boost to the AI venture.
Project Vaani: Progress In Speech Recognition
The DeepMind India Google team in its Project Vaani that has been undertaken jointly with the Indian Institute of Science ( IISc ) has made a lot of progress. The project currently has in excess of 14,000 hours worth of speech data supplied in 58 languages, gathered from 80,000 subjects in 80 districts. These hundreds of millions of users will be of great help for developers who focus on such programs as speech recognition and natural language processing.
Conclusion
Discussing Google I/O Connect held in Bengaluru, it indicates the company’s focus on the AI advancement in India. Google is making the best platform for the Indian developer by bringing advanced LLMs, cost-efficient services and intelligent tools to develop AI solutions that meet the local requirements and enhance the global AI. As India remains the most active in migrating to innovative technologies such as Google Lens and voice commands, such advancements are likely to drive India’s progress to a center for AI.
Key Takeaways
- Gemini 1.5 Pro presents a 2 million parameter context window.
- Gemma has up to 27 billion parameters in the second version.
- IndicGenBench looks at the level of AI understanding in Indian languages.
- Reduced costs by 70% on Google Maps Platform APIs.
- Google announces up to $350,000 credit for Indian developers on Google Cloud.
- Project Vaani offers 14000+ speech data through 58 languages.