Bharat GPT can be defined as a language generation model that is developed by a team of researchers at the Indian Institute of Technology, Madras. However, it is based on the popular GPT (Generative Pre-Trained Transformer) Architecture and is also designed to generate a human-like text in various Indian languages, including Hindi, Tamil and Telugu […]
AI for Bharat | Bharat GPT

Bharat GPT can be defined as a language generation model that is developed by a team of researchers at the Indian Institute of Technology, Madras. However, it is based on the popular GPT (Generative Pre-Trained Transformer) Architecture and is also designed to generate a human-like text in various Indian languages, including Hindi, Tamil and Telugu as well as Kannada.

Bharat GPT has been trained in a very large corpus of text in these 12 languages, to make it more capable of generating high-quality text that is very contextually relevant and also more grammatically correct. Once, the language models are generated, some specific types of texts such as news or articles, blog posts and social media posts. However, this whole model adjusts its parameters in accordance.

Applications of Bharat GPT

Bharat GPT has a wide range of applications in various fields, including:

  1. Language Translation

Bharat GPT can be used to translate text from one language to another, making it easier for people to communicate and understand each other. The model’s ability to generate high-quality text in multiple Indian languages is particularly useful in a country like India, where there are many regional languages.

  1. Content Creation

Bharat GPT can be used to generate content for various types of media, such as news articles, blog posts, or social media posts. The model can generate text that is contextually relevant and grammatically correct, making it a valuable tool for content creators.

  1. Chatbots

Bharat GPT can be used to develop chatbots that can communicate with users in natural language. This can improve customer service and user experience, as chatbots can provide quick and accurate responses to queries.

  1. Personal Assistants

Bharat GPT can be used to develop personal assistants that can help people with various tasks, such as scheduling appointments, setting reminders, or making reservations. The model’s ability to generate human-like text can make these interactions more natural and intuitive

The key differences between Bharat GPT and chat GPT are-

  1. Customizability: BharatGPT is designed specifically for Indian languages, while ChatGPT is more geared towards English. This means that if you are looking to generate content in any of the Indian languages, BharatGPT will offer more accurate and contextually relevant results.
  2. Cost-effectiveness: BharatGPT is a more cost-effective option as compared to ChatGPT. While ChatGPT charges $100 for every million tokens generated, BharatGPT charges only $5 for the same. This makes Bharat GPT an ideal choice for businesses with a tight budget looking for high-quality language models.
  3. Better accuracy: BharatGPT has been fine-tuned specifically for Indian languages, which makes it more accurate than ChatGPT when it comes to generating content in these languages. The model has been trained on a vast amount of data, which ensures that the generated content is contextually relevant and accurate.
  4. Wide language support: BharatGPT supports 10 Indian languages, including Hindi, Bengali, Tamil, and Marathi, among others. ChatGPT, on the other hand, only supports English. This means that if you are looking to generate content in any of the Indian languages, BharatGPT is the only viable option.

Google is in talks to invest $4 million in homegrown conversational AI startup CoRover.ai, sources revealed to the Economic Times today. The Bengaluru-based startup has built an indigenous language model, Bharat GPT – which claims to support more than a dozen Indian languages.

Google has reportedly already promised a non-equity funding of $500,000 in the startup most of which has been distributed since March, with the remaining to be received by December. The sources have stated that the $4 million will be invested as equity after the launch of the chatbot in the following weeks.