G42, an artificial intelligence (AI) firm based in the United Arab Emirates (UAE), has introduced a groundbreaking large language model (LLM) called NANDA, designed specifically for Hindi-speaking users. This new model, which boasts a parameter count of 13 billion, is a major step forward in the growing field of language-based AI technologies. NANDA was officially launched at the India-UAE business forum held in Mumbai during the state visit of the Crown Prince of Abu Dhabi, Sheikh Khaled bin Mohammed bin Zayed Al Nahyan, to India.
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ToggleNamed After a Peak, Aiming for New Heights
The model’s name, NANDA, draws inspiration from one of India’s highest peaks, symbolizing the model’s ambition to reach new heights in the world of AI, particularly in the context of Hindi, a language spoken by over 600 million people worldwide. The creation of this model reflects G42’s commitment to bridging the gap in AI for languages that are still underrepresented on global platforms.
NANDA has been jointly developed by Inception, a subsidiary of G42, in collaboration with Cerebras Systems, a leading AI hardware developer. The project also benefited from the expertise of researchers at the Mohamed bin Zayed University of Artificial Intelligence in the UAE. This collaborative effort underscores G42’s focus on building strong partnerships to drive innovation in AI.
Training on an Unprecedented Scale
One of the standout features of NANDA is the sheer scale of its training. The model has been trained on a massive dataset of approximately 2.13 trillion tokens, ensuring that it has a deep and nuanced understanding of Hindi language patterns. This vast amount of data will allow NANDA to provide high-quality language processing and generation capabilities, making it a valuable tool for a variety of applications, including translation, content generation, and conversational AI.
The training of NANDA was made possible by Condor Galaxy, one of the world’s most powerful AI supercomputers, developed by G42 in partnership with Cerebras Systems. Condor Galaxy is known for its exceptional capabilities in both training and inferencing, enabling NANDA to be trained efficiently and effectively. This supercomputer plays a pivotal role in ensuring that NANDA performs at a high level in terms of speed, accuracy, and overall functionality.
Launch and Potential Impact
NANDA is set to launch soon, and its introduction marks an important milestone in the world of AI for Hindi speakers. With its ability to process and generate Hindi text, NANDA is expected to have a wide range of applications across sectors such as education, business, government, and entertainment. As Hindi is one of the most widely spoken languages globally, the potential user base for NANDA is vast.
The model’s introduction comes at a time when there is growing recognition of the need for AI tools that cater to non-English languages. While English dominates many AI platforms and technologies, languages like Hindi have historically been underrepresented. With NANDA, G42 aims to change that, offering a robust AI tool that can help Hindi speakers interact more easily with technology.
Building on Past Success
NANDA’s launch follows the success of JAIS, another AI model developed by G42. Released in August 2023, JAIS was the world’s first open-source Arabic LLM and set new standards for linguistic AI with models ranging from 590 million to 70 billion parameters. JAIS demonstrated G42’s ability to create powerful, language-specific AI models, and the company now hopes to replicate that success with NANDA in the Hindi-speaking world.
JAIS showcased the importance of creating AI tools for languages that are often overlooked in the AI landscape. By doing so, G42 is helping to democratize access to AI technologies, ensuring that speakers of all languages can benefit from advancements in this rapidly evolving field.
Microsoft’s Investment in G42
G42’s ongoing innovations in AI have attracted significant attention and investment, including a recent $1.5 billion investment from Microsoft. This partnership highlights the growing recognition of G42’s role in shaping the future of AI. In addition to NANDA, G42 has also been making strides in the healthcare sector with Med42, an AI assistant for clinicians, healthcare administrators, insurers, and patients. Earlier this year, the company rolled out two upgraded versions of the Med42 LLM, further establishing its leadership in AI applications.
Conclusion
The introduction of NANDA signals an exciting new chapter in the development of AI for Hindi-speaking users. With its advanced capabilities, massive training data, and powerful supercomputer backing, NANDA is set to become a key player in the world of AI, providing valuable tools and services for a wide range of applications. As G42 continues to expand its reach, the company is poised to make a lasting impact on the global AI landscape, with NANDA leading the charge for linguistic diversity in AI technologies.
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