NVIDIA Builds Safety Net

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In March this year, NVIDIA sensed what's coming and announced the launch of the AI Foundation, a cloud-based generative AI service that you can fine-tune for your business, and use for medical research or generating AI artwork. The development was an indication of NVIDIA’s realisation that diversification of business is key to maintaining its monopoly in the GPU market. Continuing with the new policy, the chipmaker partnered with the cloud computing and virtualisation company, VMware, last week. The partnership aims to empower businesses to personalise models and deploy generative AI applications, such as intelligent chatbots, virtual assistants, search capabilities, and summarization tools. This comprehensive platform will seamlessly combine generative AI software with high-speed computing resources from NVIDIA, leveraging the foundation of VMware Cloud and fine-tuning it for optimal AI performance. The collaboration is a testimony to the fact that NVIDIA is moving towards cloud offerings. In 2020, the company acquired Mellanox Technologies, a cloud computing company for a whopping USD 6.9 billion. Meanwhile, the AI chip business is changing with Big Techs, like Google and Microsoft, joining the race to develop their own AI chips. This is bound to affect the demand for NVIDIA's chips in the future, necessitating diversification. While the two companies have pursued this deal for their own interest, it brings holistic solutions to the ecosystem. The collaboration will bring down data centre operations costs and alleviate the strain on GPU availability. Through the effective utilisation of computing resources, including GPUs, DPUs, and CPUs within virtualized environments, the Private AI Foundation guarantees a decreased operational cost for businesses in the long run. Read the full story here. Glyphic AI Wakes Up LLMs In a world rushing to deploy LLMs without integrated use cases, Glyphic AI is pioneering practical solutions. Founded by former Google DeepMind employees, the platform handles hallucinations in LLMs as its tasks are grounded in real-world contexts, reducing the scope for random responses.  Glyphic AI, which recently secured $5.5 million in pre-seed funding after emerging from stealth mode in June, strategically employs a mix of small models and large language models. The platform selects between models like GPT-4, Claude, or Cohere based on the specific task and context, optimising performance.  Read the full story here. Partnership that Transformed the Banking System In May this year, banking software giant Temenos showcased impressive performance results for its Temenos Banking Cloud platform, achieved through the utilisation of Microsoft Azure and MongoDB Atlas infrastructure. The Temenos Banking Cloud exhibited remarkable scalability, handling 200 million embedded finance loans and 100 million retail accounts, with a capacity of 150,000 transactions per second. Its capabilities extend to core transactions, payments, security, data management, and digital channels.  MongoDB's architecture played a pivotal role here, enhancing flexibility, scalability, and security. It allowed for an easy adaptation of business requirements across diverse customer bases, nations, and regions within the dynamic banking industry. Read the full story here. Google Solves Maths Equation for ChatGPT While AI chatbot ChatGPT excels in tasks like script writing, explaining complex topics, debugging, and code explanation, it significantly underperforms in mathematics. Recent research by Stanford University and the University of California, Berkeley, reveals that large language models (LLMs) struggle with arithmetic operations, especially when dealing with large numbers. Google is taking steps to address this issue through its research paper, ‘Teaching language models to reason algorithmically’. It introduces in-context learning, an approach that guides models step-by-step in acquiring new skills. Google's method also includes a prompting technique that enhances LLMs' generalisation on challenging maths problems beyond the given prompts.  Read the full story here. TAUSIF ALAM & AMIT RAJA NAIK Monday, Aug 28, 2023 | Was this email forwarded to you? Sign up here DOWNLOAD OUR MOBILE APP Stay Connected info@analyticsindiamag.com © 2023 Analytics India Magazine

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