As we all know, to transform large models into productivity, AI models, computing power and data will be insurmountable thresholds. New targets have emerged, do we have a strong enough AI infrastructure? At the summit held in Shanghai on June 28, Amazon Cloud Technology demonstrated such capabilities.
From StabilityAI's Stable Diffusion, which started the AI drawing boom, to ChatGPT's "strongest competitor" Anthropic's Claude, to the current No. 1 large model Falcon 40B on Hugging Face, they are all industry-leading generative AIs, exciting The best part is that with Amazon Bedrock, everyone can use their capabilities to build their own applications.
What does generative AI mean?
From the perspective of Amazon Cloud Technology, generative AI is reshaping all walks of life. It can open up previously unimaginable spaces. Its significance is no less than the birth of web browsers, and we are in the earliest stages of change.
The last important breakthrough of modern AI dates back to 2012. The famous convolutional neural network AlexNet demonstrated the AI model trained by GPU, and its ability to recognize objects in pictures surpassed all previous computer vision algorithms. Since then, deep learning has promoted the great development of artificial intelligence. People have taught neural networks to recognize images, videos, voices, protein structures, physics, etc., giving birth to a series of applications.
Generative AI in recent times represents another "qualitative change" - large models can create new text, graphics, 3D objects, and even simulate realistic motion. Now we can play the role of creative director, guide the AI model through prompts, and then fine-tune the output according to our own ideas.
It can be said that the communication between humans and machines, and the AI transformation of industry and commerce, have new opportunities after the emergence of generative AI. From the perspective of Amazon Cloud Technology, the application of generative AI has four directions: creative output, summary and search, improvement of interactive experience, and finally, support for human decision-making.
How can these ideas become a reality? Amazon cloud technology provides a complete system from basic large models, safe development environment, high-performance AI computing power to low-threshold tools.
From technological breakthroughs to scene implementation, a large number of complex processes that exist in the application of generative AI are greatly simplified by this system.
Building the "Foundation Stone" for Generative AI
Bringing together the industry's strongest generative AI and transforming it into out-of-the-box capabilities is something only Amazon Cloud Technology can do.
In April this year, Amazon Cloud Technology released "Amazon Bedrock", officially joining the large-scale model arms race. Training large models is time-consuming and laborious. Amazon Bedrock allows everyone to start building generative AI applications based on existing large models, dedicated AI computing power and tools, combined with their own data. This is Amazon Bedrock The origin of the name "Cornerstone".
Here, a strong base model is crucial. The Amazon Titan proposed by Amazon Cloud Technology is a collection of a series of large models, including self-developed models and many industry-leading third-party large models.
Currently, third-party models available on Amazon Bedrock include AI21 Labs' Jurassic-2 series, a large multilingual model that generates text in Spanish, French, German, Portuguese, Italian, and Dutch.
Claude, proposed by Anthropic, founded by former OpenAI researchers, also relies on cloud services provided by Amazon Cloud Technology, and its ability can perform a series of dialogue and text processing tasks.
In the image realm, Stability AI's text-to-image Amazon Bedrock-hosted model suite (including Stable Diffusion) can generate images, art, logos, and graphic designs.
These cutting-edge technologies can be used as Foundation Models: they contain a large number of parameters, have learned complex concepts through public data in the Internet, and can be used for a variety of complex tasks. Customizing them with a small amount of data allows these models to build domain-specific applications.
Amazon Bedrock is a quick way to use the basic model to build generative AI applications. With its serverless experience, people can easily find the right basic model, use their own data to customize, and quickly integrate and deploy new work to existing applications In this process, there is no need to manage any computing power infrastructure.
What are people doing with Amazon Bedrock? On the platform of Amazon cloud technology, many enterprises have made successful attempts. Eclix Tech is an international intelligent marketing service provider. By using generative AI to help distribute content, they reduced the cost of e-commerce visual products by 50%, increased efficiency by 35%, and increased click-through rates by 45%. In advertising, that's not a common number.
The promotion of generative AI technology largely depends on the application capabilities and radiation range. Services in Amazon Cloud Technology accelerate the speed of technology dissemination.