Amazon Web Services (AWS) recognizes the importance of generative artificial intelligence (AI) and its potential impact on various applications. Adam Selipsky, the head of AWS, believes that generative AI will significantly transform and reinvent how we interact with technology in our personal and professional lives. While other companies like Google and Microsoft have been focusing on consumer-facing chat interfaces, AWS is taking a different approach. They are dedicated to building business and organizational applications that meet the needs of their customers.
At the bottom layer of the stack, there are companies interested in building their own models. However, building and training these large language models can be computationally intensive and expensive. While there may be a small number of large, general-purpose models, there may also be smaller models tailored to specific use cases. AWS aims to provide both types of models to meet their customers’ needs.
In terms of capability and scale, AWS believes they have a significant advantage over their competitors. With more customers across various industries and having released their machine learning platform, SageMaker, in 2017, AWS has established expertise in running technology and systems at a massive scale. They have over 100,000 customers using their machine learning platform and have even been building their own large language models (LLMs).
AWS has recognized the importance of offering choice to customers in generative AI. They have introduced Amazon Bedrock, a managed service that provides access to various foundation models for generative AI. This approach allows customers to experiment and find the models that work best for them.
While companies like Microsoft have outsourced their work on generative AI to organizations like OpenAI, AWS believes it is essential to develop in-house expertise and capabilities in this technology. They see generative AI as a core component of their services and are dedicated to innovating and providing the best solutions for their customers.
In conclusion, AWS views generative AI as crucial and is committed to providing a range of models to meet the diverse needs of their customers. They believe they have the experience, scale, and capabilities to excel in this space, and their focus remains on delivering business and organizational applications powered by AI.