Nvidia CEO touts India’s progress with sovereign AI and over 100K AI developers trained

A notable project includes collaboration with the Bill and Melinda Gates Foundation to create the largest open-source, gender-intentional AI dataset in Indic languages, employing over 30,000 women across six language groups. This dataset will support AI applications in agriculture, healthcare, and banking, enhancing both economic opportunities and multilingual AI solutions across India. Karya’s efforts help accelerate AI development for non-English speakers, using NVIDIA’s NeMo and NIM platforms to build custom AI models for businesses. Its AI-powered platform, Magnifi, generates game highlights up to 15x faster, boosting viewership and enabling smaller sports like longball and kabaddi to grow their fanbase on limited budgets. Magnifi leverages vision analysis, natural language processing, and optical character recognition to streamline editing, detect key moments, and trackball movement. VideoVerse utilises NVIDIA CUDA libraries and Tensor Core GPUs to accelerate AI models for image, video understanding, and speech recognition.

You overlap and interrupt the person you’re talking to, and they don’t seem to be listening. “In all of our investigative and in-depth stories, as well as daily news stories, we have placed importance on primary sources, be that data, documents or interviews,” explained Chay Hofileña, Investigative Editor and Head of Training at Rappler. Financial institutions and analysts use the ChatGPT API to create market summaries, financial reports, and insights into investments. The above use case has proven that when ChatGPT App it generates data summaries using AI, analysts will deliver insights 25% faster, according to a SpringerLink study conducted in 2023. Lasconi further emphasized that any involvement of foreign operatives in Romanian elections threatens national security and transparency. She urged that further investigation and legislation should reinforce restrictions on digital campaign strategies, aligning Romania with recent EU regulations on political advertising to prevent misuse of personal data in political contexts.

They represent a new approach to fact-checking and information dissemination. These bots engage users in real-time conversations, identify and respond to false information, provide evidence-based corrections, and help create a more informed public. Fluid AI, a Mumbai-based startup, provides generative AI chatbots, voice bots, and APIs to enhance enterprise efficiency.

Use Cases for the ChatGPT API

This was made possible by various fundamental technical development work that Rappler’s tech team has rolled out over the years. Before developing Rai, Rappler re-engineered its website in 2020 to adopt a more scalable, topics-based way to organize content. Beyond this, Rappler’s tech team equipped the new conversational Rai with a powerful architecture that allows readers to make the most of generative AI in mining Rappler’s wealth of information — while minimizing the risk of hallucinations that bots are prone to. But to mitigate risks and minimize hallucinations, Rappler developed Rai with guardrails in place. Immediately after, on Wednesday, October 30, prime minister Marcel Ciolacu and the minister of digitalization publicly accused Mircea Geoană of using troll farms in his campaign.

Several case studies show the effectiveness of AI chatbots in combating misinformation. During the COVID-19 pandemic, organizations like the WHO used AI chatbots to address widespread myths about the virus and vaccines. These chatbots provided accurate information, corrected misconceptions, and guided users to additional resources. Leveraging the advanced capabilities of Anthropic’s Claude 3.5 and Sapia.ai’s own proprietary algorithms, Phai™ is built on insights from over 20 million question-and-answer pairs from 5 million global candidates. Its conversational API, similar to today’s leading generative AI chatbots, offers personalized career guidance at scale. Leveraging the advanced capabilities of Anthropic’s Claude 3.5 and Sapia.ai’s own proprietary algorithms, Phai is built on insights from over 20 million question-and-answer pairs from 5 million global candidates.

[Be The Good] Time to reclaim our politics

Designed to be an extension of the way Rappler’s multi-awarded team digs for the truth, assesses facts, and debunks falsehoods, Rai’s data source are the stories and the datasets that have been gathered, processed, and vetted by Rappler. In a separate response that has since been deleted, Google also said, “No private data will be used during Barbs [sic] training process.” “Anyone a little concerned that Bard is saying its training dataset includes… Gmail? I’m assuming that’s flat out wrong, otherwise Google is crossing some serious legal boundaries,” Crawford wrote. It also provides pre-built pipelines and building blocks for synthetic data generation, data filtering, classification and deduplication to process high-quality data. “By fairly compensating these communities for their digital work, we are able to boost their quality of life while supporting the creation of multilingual AI tools they’ll be able to use in the future,” said Manu Chopra, CEO of Karya.

At the core, the ChatGPT API relies on excellent NLP algorithms to process and output human-like responses. Unlike the pre-programmed responses that traditional chatbots rely on, the ChatGPT API entails nuanced language processing and will respond in context. OpenAI’s model is trained on gigantic datasets, though, so it can maintain a coherent dialogue, adjust to any topic, and personalise user interactions.

So in 2018, Reece connected with Cooney, a grad-school pal who studied conversation. New tech, they thought, might solve the coding issue, and even account for the complexities of overlapping back-channel speech and the timing of turns. They figured they could just get volunteers to have a half hour of chitchat and ask them about how it felt. Think about the complexity of even the simplest of dialogues, and how we pass the conversational baton back and forth. You talk, I make some uh-huh noises, I talk, you hit me with an “OK” or two, you talk again and I nod, you shift to a new topic with a question, and I give you a yes or no before picking up the new thread. But first we’d have to get past the vibes and understand what’s actually bad — or maybe even good?

• Remarkably, about one-quarter of participants who initially believed in a conspiracy shifted to uncertainty after their interaction.
• All they’ll know is how to make us feel good — with deepfaked faces that understand precisely when to say uh-huh, and how widely to smile, down to the millimeter, no matter what they’re actually saying.
• Around 10% of its residents speak English, the internet’s most common language.

Even before OpenAI’s public release of its chatbot, Rappler used generative AI to create profile pages of almost 50,000 local candidates in the 2022 elections. Companies that run troll farms also use data mining and large data sets obtained from users to predict and influence voters. One famous example is Cambridge Analytica, the data analytics firm that worked with Donald Trump’s election team and the winning Brexit campaign. In 2018, it was revealed that the company harvested millions of Facebook profiles of US voters, in one of the tech giant’s biggest ever data breaches, and used them to build a powerful software program to influence elections. Sapia.ai is the world’s first Smart Interviewer™ powered by deep-learning AI, offering fair, inclusive, and scalable hiring solutions.

Customer Service and Virtual Support

By focusing on ethical AI, Sapia empowers organizations and individuals with tools that ensure fair hiring, talent mobility, and enhanced employee experience. Karya is employing over 30,000 low-income women participants across six language groups in India to help create the dataset, which will support the creation of diverse AI applications across agriculture, healthcare and banking. Nvidia also highlighted Mumbai-based startup Fluid AI, which offers generative AI chatbots, voice calling bots and a range of application programming interfaces to boost enterprise efficiency.

• India now has more than 2,000 Nvidia Inception AI companies and more than 100,000 developers trained in AI.
• A 2023 study by the Harvard Kennedy School’s Misinformation Review found that many Americans reported encountering false political information online, highlighting the widespread nature of the problem.
• Nvidia also highlighted Mumbai-based startup Fluid AI, which offers generative AI chatbots, voice calling bots and a range of application programming interfaces to boost enterprise efficiency.
• AI expert Kate Crawford posted an exchange she had with the new AI chatbot in which she asks where Bard’s training dataset comes from.

It turns out that businesses that use sophisticated NLP models can get up to a 30 per cent improvement in customer satisfaction as communications flow naturally. They can instantly access vast databases of verified information, allowing them to present users with evidence-based responses tailored to the specific misinformation in question. They offer direct corrections and provide explanations, sources, and follow-up information to help users understand the broader context. You can foun additiona information about ai customer service and artificial intelligence and NLP. These bots operate 24/7 and can handle thousands of interactions simultaneously, offering scalability far beyond what human fact-checkers can provide.

Healthcare Support

Beyond health and political misinformation, AI chatbots can promote media literacy and critical thinking in educational settings and serve as automated advisors in workplaces. Policymakers can support the effective and responsible use of AI through regulations encouraging transparency, data privacy, and ethical use. Advancements in AI technology, such as deep learning and AI-driven moderation systems, will enhance chatbots’ capabilities. Moreover, collaboration between AI chatbots and human fact-checkers can provide a robust approach to misinformation. It cannot be easy to convince individuals deeply ingrained in their beliefs to interact with AI chatbots.

It’s a case study in sovereign AI — the development of domestic AI infrastructure that is built on local datasets and reflects a region’s specific dialects, cultures and practices. Bengaluru-based BharatGPT maker startup CoRover.ai serves over a billion users with its LLM-based conversational AI platform, offering text, audio, and video agents in over 100 languages. Supported by ChatGPT NVIDIA Inception, CoRover powers virtual assistants for clients like Indian Railways on many of its customer platforms. They are only as effective as the data they are trained on, and incomplete or biased datasets can limit their ability to address all forms of misinformation. Additionally, conspiracy theories are constantly evolving, requiring regular updates to the chatbots.

Misinformation and conspiracy theories are major challenges in the digital age. While the Internet is a powerful tool for information exchange, it has also become a hotbed for false information. Conspiracy theories, once limited to small groups, now have the power to influence global events and threaten public safety. These theories, often spread through social media, contribute to political polarization, public health risks, and mistrust in established institutions. It’s available as part of the Nvidia AI Enterprise software platform, which gives businesses access to additional resources, including technical support and enterprise-grade security, to streamline AI development for production environments. CoRover’s AI tools, built with NVIDIA NeMo and running on cloud-based NVIDIA GPUs, automatically scale resources during peak times, such as when train tickets are released.

It assists customers with tasks such as booking or canceling train tickets, changing boarding stations, requesting refunds, and checking the status of their booking in languages including English, Hindi, Gujarati and Hinglish — a mix of Hindi and English. Maybe that doesn’t matter if you’re looking for a Zoom mentor through a service like BetterUp. But someday databases like CANDOR could be used to train artificial intelligences to imitate the way humans conduct conversations. Chatbots that serve as customer-service representatives or intake staffers at urgent-care centers may learn to nod and smile like the world’s greatest conversationalists, but they’re not going to feel anything. All they’ll know is how to make us feel good — with deepfaked faces that understand precisely when to say uh-huh, and how widely to smile, down to the millimeter, no matter what they’re actually saying.

Karya, a Bengaluru-based platform, enables low-income and marginalised communities in India to earn income by completing language-based tasks for multilingual AI development. Nearly 100,000 workers record voice samples, transcribe audio, and verify AI-generated sentences in their native languages, earning up to 20 times India’s minimum wage. But, Enfield says, the dataset has some serious limitations, however huge it might be. For one thing, it’s only in American English, which means scientists in the field can’t use it to explore and identify cross-language commonalities.

The chatbot played a vital role in enhancing trust in verified health sources by allowing users to ask questions and receive credible answers. It was especially effective in communities where misinformation was extensive, and literacy levels were low, helping to reduce the spread of false claims. This engagement with young users proved conversational dataset for chatbot vital in promoting accurate information and debunking myths during the health crisis. Research has shown that AI chatbots can significantly reduce belief in conspiracy theories and misinformation. For example, MIT Sloan Research shows that AI chatbots, like GPT-4 Turbo, can dramatically reduce belief in conspiracy theories.