Amazon has released Amazon Bedrock, a generative AI platform that lets users create AI-powered apps using both external AI models and its own internal models. Without using any of their own data to train the models, customers can alter any Bedrock model by giving a few labeled samples. Large customers developing AI apps for businesses are the target audience for Bedrock. The platform will make it simpler for businesses to create generative AI applications and will offer a mechanism to create apps powered by generative AI.
Amazon is expanding into the generative AI market with the launch of Amazon Bedrock. The platform allows users to build generative AI-powered applications through the use of third-party AI models, as well as its own proprietary models. The company has partnered with AI startups such as AI21 Labs; pre-trained models will be made available by Anthropic and Stability AI, along with access to their Titan FMs (foundation models). Large clients wishing to create enterprise-scale AI apps are the target audience for Bedrock. According to Grand View Research, the market for generative AI is anticipated to be valued up to $110 billion by 2030.
Using machine learning models, generative AI generates new data, including text, images, and sounds. The goal of Amazon’s platform is to make it simpler for businesses to develop generative AI applications by providing access to a wide range of models from various providers via an API. Clients can alter any Bedrock model without contributing any of their own data by supplying as few as 20 labeled examples in Amazon S3.
Amazon has faced criticism from some quarters over its lack of transparency around its Titan FM models. Vasi Philomin, VP of generative AI at AWS, has declined to say exactly which data the models were trained on. Philomin did say that the Titan models were built to detect and remove “harmful” content in the data customers provide for customization, reject “inappropriate” content users input, and filter outputs containing hate speech, profanity, and violence.
AWS customers can also use Amazon’s AI-powered code-generating service, CodeWhisperer, for free. The move appears to be a response to GitHub’s Copilot, which had over a million users as of January, including thousands of enterprise customers. CodeWhisperer can autocomplete entire functions in languages like Java, JavaScript, and Python based on only a comment or a few keystrokes.
Amazon has also launched Elastic Cloud Compute (EC2) Inf2 instances and EC2 Trainium instances powered by AWS Inferentia2 chips and AWS Trainium, respectively. Both chips are designed to speed up AI runtimes and deliver better throughput with lower latency. They compete with rival offerings from Google and Microsoft, like Google’s TPU chips for AI training.
While generative AI is expected to grow rapidly in the coming years, the technology is also facing legal challenges. Several lawsuits have been filed over generative AI technology from companies including OpenAI and Stability AI, alleging that copyrighted data, mostly art, was used without permission to train the generative models. Additionally, generative AI models tend to amplify biases in training data or, if they run out of relevant training data, simply make things up, leading to concerns about sexism, racism, and misinformation in output.
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