By offering secure encryption and open access to high-performing large language models (LLM) through Amazon Bedrock, companies now have the freedom to experiment and switch between models depending on specific use cases, all while offering a peace of mind that no data is transferred beyond the BMW Cloud Room. Given that all foundation models (FM) come with definite strengths and weaknesses, retrieval-augmented generation is particularly useful in addressing the shortcomings of standalone LLMs.
According to the International Energy Agency, an autonomous intergovernmental organization, over one in five cars sold in 2024 will be electric vehicles (EV), whereas leading data provider Statista has highlighted a substantial annual revenue forecast growth of 6.63% across the market, with China accounting for a staggering 47% of the total revenue.
Empowering brands to translate technological prowess into market success, Amazon Web Services (AWS) has worked hand in hand with BMW Group to create a one-of-a-kind in-console cloud assistant solution to maximize product performance and efficiency, identifying operational bottlenecks as well as opportunities for improvement at all times.
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