Tag: Arvind

  • Perplexity CEO Arvind Srinivas: Nandan Nilekani ‘is wrong about pushing India to ignore model training skills’ 


    FILE PHOTO: Perplexity CEO Aravind Srinivas has responded to Nandan Nilekani’s comments around India not needing to build its own models, saying he disagreed with the Infosys co-founder.
    | Photo Credit: KSL

    Perplexity CEO Aravind Srinivas said that Infosys co-founder Nandan Nilekani’s comment on India not needing to build its own AI models “is wrong.” Though Mr. Srinivas acknowledged Mr. Nilekani’s contributions to India’s tech industry, he noted that companies can train their own AI models while also building on top of existing models.

    “To be clear: Nandan Nilekani is awesome, and he’s done far more for India than any of us can imagine through Infosys, UPI, etc. But he’s wrong on pushing Indians to ignore model training skills and just focus on building on top of existing models. Essential to do both,” Mr. Srinivas tweeted.

    In October, Mr. Nilekani advised Indian AI startups to stay away from building large language models (LLMs) and make practical AI applications instead. 

    “Our goal should not be to build one more LLM. Let the big boys in the (Silicon) Valley do it, spending billions of dollars. We will use it to create synthetic data, build small language models quickly, and train them using appropriate data,” Mr. Nilekani said at the Meta AI Summit.

    Mr. Nilekani said the focus must be on building infrastructure that can collect data to deploy and scale apps in a frugal manner. “Let other people build LLMs, we will make sure it works for people” he stated. 

    Other industry leaders in the country have echoed similar ideas when it comes to building new AI models. 

    “I don’t think there’s going to be a huge incremental advantage in building your own LLMs since there are so many already available. If you go by the existing heritage of most Indian organisations, we are more of system integrators. If you take a similar approach here, we are better off,” told TCS CEO K. Krithivasan to The Hindu’s Businessline a week ago. 



    In a recent interview, Perplexity CEO Arvind Srinivas shared his thoughts on Nandan Nilekani’s suggestion to prioritize model deployment over model training skills in India’s tech industry. Srinivas argued that Nilekani is wrong in his approach, emphasizing the importance of developing strong model training skills.

    According to Srinivas, model training is the foundation of any successful AI project. Without proper training, models will not be able to accurately analyze and interpret data, leading to unreliable results. He believes that focusing solely on model deployment without adequate training skills will ultimately hinder India’s progress in AI technology.

    Srinivas also highlighted the potential impact on job opportunities in the tech sector. By neglecting model training skills, India may miss out on valuable opportunities for growth and innovation in AI development. He stressed the need for a balanced approach, where both model training and deployment skills are given equal importance.

    In conclusion, Srinivas expressed his disagreement with Nilekani’s viewpoint, advocating for a comprehensive strategy that prioritizes model training skills alongside deployment. He believes that this approach will better position India as a leader in AI technology and drive future advancements in the industry.

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  • AI Snake Oil: What Artificial Intelligence Can D by Arvind Narayanan 2024 HB New

    AI Snake Oil: What Artificial Intelligence Can D by Arvind Narayanan 2024 HB New



    AI Snake Oil: What Artificial Intelligence Can D by Arvind Narayanan 2024 HB New

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    AI Snake Oil: What Artificial Intelligence Can Do

    In recent years, there has been a surge in the hype surrounding artificial intelligence (AI) and its potential to revolutionize industries and solve complex problems. However, as with any new technology, there is also a risk of overselling its capabilities and creating unrealistic expectations.

    AI has undoubtedly made significant advancements in various fields, from healthcare to finance to transportation. It has the potential to automate routine tasks, analyze massive amounts of data, and even assist in decision-making processes. But it is essential to separate the reality of what AI can do from the hype surrounding it.

    One common misconception is that AI is a magic solution that can solve any problem. In reality, AI is only as good as the data it is trained on and the algorithms used to analyze that data. It is not a one-size-fits-all solution and may not be suitable for every problem.

    Another misconception is that AI can completely replace human intelligence and decision-making. While AI can certainly assist and augment human capabilities, it is not a substitute for human judgment, creativity, and critical thinking.

    Additionally, there are concerns about the ethical implications of AI, such as bias in algorithms, privacy issues, and job displacement. It is crucial to address these ethical considerations and ensure that AI is used responsibly and ethically.

    In conclusion, while AI has the potential to bring about significant advancements and improvements in various industries, it is essential to approach it with a critical and realistic mindset. AI is not a panacea, and it is crucial to understand its limitations and potential risks. By doing so, we can harness the power of AI responsibly and effectively.
    #Snake #Oil #Artificial #Intelligence #Arvind #Narayanan

  • VIRTUAL ROUTING IN THE CLOUD (NETWORKING TECHNOLOGY) By Arvind Durai & Stephen

    VIRTUAL ROUTING IN THE CLOUD (NETWORKING TECHNOLOGY) By Arvind Durai & Stephen



    VIRTUAL ROUTING IN THE CLOUD (NETWORKING TECHNOLOGY) By Arvind Durai & Stephen

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    Virtual routing in the cloud is a revolutionary networking technology that is changing the way we think about network infrastructure. In their book, Arvind Durai and Stephen dive into the world of virtual routing and explore how it is transforming the way we design, deploy, and manage networks in the cloud.

    With virtual routing, organizations can create and manage multiple virtual networks within a single physical network infrastructure. This allows for greater flexibility, scalability, and efficiency in network operations. Virtual routing also enables organizations to quickly adapt to changing network demands and scale their infrastructure as needed.

    Arvind Durai and Stephen provide a comprehensive overview of virtual routing technology, discussing key concepts, best practices, and real-world use cases. They also delve into the challenges and considerations that come with implementing virtual routing in the cloud, such as security, performance, and scalability.

    Whether you are a network engineer, IT professional, or just interested in the latest networking technologies, Virtual Routing in the Cloud is a must-read book that will take your understanding of network infrastructure to the next level. Get your copy today and discover the endless possibilities of virtual routing in the cloud.
    #VIRTUAL #ROUTING #CLOUD #NETWORKING #TECHNOLOGY #Arvind #Durai #Stephen

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