The LLM Race No One is Talking About

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TAUSIF ALAM & AMIT RAJA NAIK Friday, Dec 1, 2023 | Was this email forwarded to you? Sign up here ___________________________________________________________ While the world is busy talking about GPT-4, Llama 2, PaLM 2 and others, Chinese giants, far from the limelight, are developing similar powerful models that might dominate the global market in the future.   In the past year, Alibaba Cloud has announced many language models — Tongyi Qianwen, Tongyi Qianwen 2.0, Qwen-7B, Qwen-7B-Chat, Qwen-72B, and Qwen-1.8B.  Qwen-7B and Qwen-7B-Chat are open-source LLMs with 7 billion parameters. Both these models are smaller versions of the Tongyi Qiawen and aim at helping small and medium businesses to start using AI. These were announced in August, a few months after the launch of LLaMA and Llama2. The company also added Qwen-1.8B, an open source smaller language model for research purposes. It possesses a context length of 2k and demands just 3GB of GPU memory. Alibaba Cloud is not the only player out there, Chinese tech giants like Tencent, Huawei, and Baidu are also building LLMs. Baidu's AI cloud, for instance, has maintained its leadership in the Chinese market for the fourth consecutive year, boasting a growth of 69.7% in 2022. The company has also introduced its Ernie Bot, in competition with GPT-4. There’s more to the story besides the LLM-rush. According to experts, Alibaba Cloud has been focusing on LLMs to save its cloud business, which it’s losing to its competitors. The unit witnessed tepid growth, recording a mere 4% annual revenue increase in the last fiscal. This marks a notable deceleration compared to the 23% growth in the preceding year and the substantial 50% growth before that. Experts have also linked the declining Alibaba Cloud market to the recent restriction on the chip export to China. Though everyone is impacted by it, Alibaba seems to have suffered the most.  While the company currently maintains a larger market share compared to its competitors, the landscape is shifting. Competitors are on the rise, prompting Alibaba to make significant moves to stay competitive. The company is introducing new LLMs in an effort to retain its position and adapt to the evolving market dynamics. Read the full story here. Choices for All AWS made some big announcements, showcasing updates at the AWS re:Invent conference, solidifying its position in generative AI. A lot of these announcements revolved around AWS Bedrock, a competitor to Hugging Face Transformers and OpenAI, offering users more choices and lowering entry barriers for AI application development.  With custom guardrails, developers align applications with specific use cases and ethical policies. Bedrock's private customisation of foundation models allows secure tailoring, providing a competitive edge. Its extensive range of models and user-friendly deployment sets Bedrock apart, emphasising innovation over operational complexities for developers. Read the full story here. Pega Opens Hiring Positions  Pegasystems, a customer engagement and operational excellence solution, helps businesses improve how they interact with customers and streamline their operations. The company utilises AI and data science throughout its platform to improve decision-making, automate processes, and provide personalised customer interactions. The company has opened positions for hiring data scientists.  Pega focuses on candidates' learning abilities for data science roles and values a diverse, inclusive work culture that fosters innovation. Pega prioritises diversity, ranking as the best workplace for women, and values independent thinking. The work culture encourages innovation and stands out for addressing unique challenges.  Read the full story here. Genpact’s New Pact    Amazon is on a partnership spree. This time, AWS and Amazon Business have partnered with Genpact to help the IT company in the property loss replacement and claims management. Utilising its deep claims management knowledge, Genpact is incorporating the generative AI capabilities of Amazon Bedrock and integrating Amazon Business procurement APIs to simplify the claims submission process.  The new automation workflow is designed to cut down the insurance claim submission timeline from weeks to days, prioritising swift identification of replacement items and timely delivery of policyholder estimates. AI solutions, the IT company feels, will help in making smarter pricing decisions, expediting claims settlements, and bringing about a profound transformation in the customer experience. Read the full story here.   DOWNLOAD OUR MOBILE APP Stay Connected info@analyticsindiamag.com © 2023 Analytics India Magazine

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