Amazon Invests Millions in Training Large Language Model “Olympus” to Compete with OpenAI and Alphabet
Seattle, WA – In a move to solidify its position in the artificial intelligence (AI) space, Amazon has recently announced a significant investment in training a revolutionary language model codenamed “Olympus.” With a staggering two trillion parameters, the model is expected to be one of the largest ever trained, potentially surpassing OpenAI’s GPT-4 model, which has one trillion parameters.
The ambitious project is spearheaded by Rohit Prasad, former head of Alexa, who now reports directly to Amazon’s CEO, Andy Jassy. Prasad has gathered a team of top researchers from the Alexa AI and Amazon science teams to work on training the groundbreaking model.
Amazon has already made strides in training smaller AI models like Titan and has collaborated with AI model startups including Anthropic and AI21 Labs for their popular Amazon Web Services (AWS) platform. The tech giant believes that by developing its own homegrown models, it can enhance its offerings on AWS, particularly for enterprise clients who seek high-performing models.
Despite the immense potential of “Olympus,” Amazon has not provided a specific timeline for its release. Training such large AI models involves significant computational resources and costs, which are some of the challenges the company must overcome before unveiling the model to the public.
This investment in AI development aligns with Amazon’s strategic shift towards prioritizing advancements in AI and generative models, while scaling back investments in its traditional retail operations. Executives at Amazon have been vocal about their commitments to stay at the forefront of AI research and development, emphasizing the importance of cutting-edge language models in the company’s future success.
As news of Amazon’s investment in “Olympus” spreads, industry experts are eagerly awaiting the results of this groundbreaking project. With its vast computing power and promising team of experts, Amazon is poised to push the boundaries of AI innovation and reinforce its dominance in the tech industry.
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