Mojo🔥Steals the Show

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What’s that one thing that has the elegance of Python and flexes a speed like C, C++, or CUDA? It’s supersonic Mojo. Launched initially in May by Modular AI, the programming language was made available for local download last week and has produced remarkable results for developers. Aydyn Tairov, who goes by the name Mojician in the Mojo community, successfully implemented llama2.py in Mojo, achieving a 20% performance boost compared to Andrej Karpathy's llama2.c (Baby Llama), which was developed in C. This compelling result validates Modular's assertions about Mojo's superior speed compared to Python. Mojo, often dubbed 'Python++’, aims to eventually become a superset of Python. It already seamlessly integrates with Python, offering a scalable programming model for performance-critical AI systems, including GPUs. It can achieve up to a remarkable 68,000 times the performance of Python, making it ideal for AI workloads.  One of its key advantages is facilitating collaboration between research and deployment teams, as both can work within a unified codebase. Moreover, Mojo maintains full interoperability with the Python ecosystem allowing developers to harness Python libraries alongside Mojo's performance capabilities. This combination of the two languages opens up a wide range of possibilities, from utilising NumPy and Matplotlib seamlessly with Mojo to incorporating custom operations and high-performance mathematical algorithms. The Mojo SDK release includes essential tools for developers, such as the Mojo driver, Visual Studio Code extension, Jupyter kernel, and the upcoming debugging support. The initial release supports X86/Linux systems, with plans to expand to additional operating systems and hardware in future updates. Modular AI's Mojo is set to empower developers with high-performance AI solutions, coolly bridging the gap between Python's ease of use and the performance demands of AI development. Read the full story here.  NVIDIA Makes New Friends  The geopolitical tension between China and the US is taking a toll on NVIDIA. The Santa Clara-headquartered company has suffered losses after the US restricted its chipmakers to export the technology to China, which accounts for about 20% of the company’s revenue. In this difficult time, NVIDIA has moved towards India to compensate for the lost revenue.  Last week, during a visit to India, CEO Jensen Huang announced a partnership with Indian business giants such as Reliance, Tata and Infosys. NVIDIA plans to sell thousands of supercomputers to Indian business partners to enhance the AI capability of the country and make new AI-based solutions for the population.  Read the full story here. Tech Giants Open GenAI Roles in India Generative AI is fueling a surge in job opportunities. Apple is recruiting ML engineers with expertise in Transformer models to work on enhancing its developer experience platform. Eli Lilly seeks a generative AI senior team lead to oversee data processing and analytics tools. Siemens Healthineers is looking for a generative AI engineer to design AI models and collaborate with cross-functional teams.  PwC is seeking a generative AI and data analytics lead manager in Kolkata to solve complex business challenges using AI and analytics. Wipro needs a generative AI architect with over 10 years of experience. Adding to the list is Ascendion, offering a generative AI engineer role to optimise AI models for various applications. Get the details here. The Rise of Software-building Agent The emergence of collaborative AI agents like ChatDev is reshaping software development. A team of 12 researchers from Dalian University of Technology, Beijing University, and Brown University has created ChatDev, a multi-agent system. ChatDev follows a structured approach similar to the waterfall model, breaking down software development into design, coding, testing, and documentation phases.  Different agents, including programmers, code reviewers, and test engineers collaborate effectively through chat chains, crafting comprehensive software solutions. This approach enables quicker and more efficient development while ensuring thorough communication and mutual verification among agents. Read the full story here. TAUSIF ALAM & AMIT RAJA NAIK Wednesday, Sep 13, 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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