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AI4Bharat Introduces Airavata: an Advanced Hindi Language Model

Analytics Vidhya

AI4Bharat, the AI research lab associated with IIT Madras, has recently launched Airavata, an instruction-tuned model tailored for the Hindi language. This model, derived from fine-tuning Sarvam AI’s OpenHathi, aims to enhance performance in assistive tasks through the incorporation of diverse, instruction-tuning Hindi datasets.

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Indian Startup Releases OpenHathi: First-ever Hindi LLM

Analytics Vidhya

In a noteworthy stride towards linguistic innovation, Indian AI startup Sarvam AI has released OpenHathi LLM, marking a significant leap in the realm of Hindi language models. Genesis of OpenHathi Sarvam […] The post Indian Startup Releases OpenHathi: First-ever Hindi LLM appeared first on Analytics Vidhya.

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Hindi Character Recognition on Android using TensorFlow Lite

Analytics Vidhya

The post Hindi Character Recognition on Android using TensorFlow Lite appeared first on Analytics Vidhya. Introduction If you ever wanted to build an image classifier for text recognition, I’m assuming you probably must have implemented the classic Handwritten Digit Recognition application from TensorFlow’s official examples.

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Hands-on Hindi Text Analysis using Natural Language Processing (NLP)

Analytics Vidhya

The post Hands-on Hindi Text Analysis using Natural Language Processing (NLP) appeared first on Analytics Vidhya. Text analysis is used in virtual assistants like Alexa, Google Home, and others. It is also very helpful in chatbot-based systems where user queries are served. […].

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AURORA-M: A 15B Parameter Multilingual Open-Source AI Model Trained in English, Finnish, Hindi, Japanese, Vietnamese, and Code

Marktechpost

AURORA-M is tailored to cater to six diverse languages: English, Finnish, Hindi, Japanese, Vietnamese, and code. Don’t Forget to join our 39k+ ML SubReddit The post AURORA-M: A 15B Parameter Multilingual Open-Source AI Model Trained in English, Finnish, Hindi, Japanese, Vietnamese, and Code appeared first on MarkTechPost.

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How to Use OLA’s Krutrim?

Analytics Vidhya

With over 10 Indian languages supported, including English, Hindi, Tamil, and […] The post How to Use OLA’s Krutrim? Krutrim marks a significant leap forward, aiming to democratize AI access while staying deeply rooted in Indian values and data. appeared first on Analytics Vidhya.

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Stemming vs Lemmatization in NLP: Must-Know Differences

Analytics Vidhya

Languages such as English, Hindi consists of several words which are often derived […]. Introduction In the field of Natural Language Processing i.e., NLP, Lemmatization and Stemming are Text Normalization techniques. These techniques are used to prepare words, text, and documents for further processing.

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