Article directory
What is a large model?
Recently, generative large models have become a hot research topic in the field of artificial intelligence. These large generative models, such as Wenxinyiyan, Wenxinyige, ChatGPT, Stable Diffusion, etc., not only shine in the field of natural language processing, but also show excellent performance in many other fields such as computer vision. The key to such a big change: storing data in the form of models and better understanding of human language.
In the past, NLP models or CV models modeled a single task through discriminative methods, while generative models achieved the generation and processing of information by learning the distribution of past data.
If you know about large models, then you must know about Amazon Cloud Technology's large language model , which launched the Amazon Bedrock service and Amazon Titan large language model to help cloud companies improve efficiency and innovation capabilities. In particular, the AI coding assistant Amazon CodeWhisperer is released, which is free and open to all individual users without any restrictions on qualifications or usage time! I personally am engaged in Java development and I have been using it. It is great to use!
"Most companies want to use large language models, but really useful language models require billions of dollars and years to train, and people don't want to go through that," Andy? Jassy said. "So they're looking to take an already huge base model and be able to customize it for their own purposes. That's Bedrock."
This is also a particularly powerful aspect of Amazon, which reduces financial and human resources for enterprises and facilitates the development and use of large enterprise models.
Large model training method
With the continuous development of deep learning technology, large-scale pre-trained models have achieved remarkable results in various fields. These large models effectively capture the relationship between input and output through massive data and complex network structures, thereby reaching human levels or even surpassing humans in tasks such as image classification, natural language processing, and speech recognition. However, the applications of large pre-trained models are not limited to these specific tasks, they can also achieve wider applications by adapting to downstream tasks.
In the process of large model development, some unique methods and technologies have also been proposed and applied, such as pre-training (pre-train), Supervised Fine Turning (SFT), and reinforcement learning based on human feedback (RLHF, Reinforcement Learning from Human Feedback), etc. Each of these methods has its own characteristics. Some can improve the generalization ability of the model, some can use a large amount of unsupervised data for learning, and some can integrate human feedback information into the model training process.
Amazon Cloud Technology launches new generative AI tool - aws toolkit
Last year, Amazon Cloud Technology announced the launch of a preview version of Amazon CodeWhisperer, an AI programming assistant that, through an embedded basic model, can perform real-time programming based on comments described by developers in natural language and existing code in the integrated development environment (IDE). Generate code suggestions to increase developer productivity.
At present, Amazon Cloud Technology announced that Amazon CodeWhisperer is officially available. Data shows that compared with participants who do not use CodeWhisperer, participants who use CodeWhisperer complete tasks 57% faster on average.
aws toolkit
Tutorial
aws toolkit Here we take IDEA as an example to demonstrate it for everyone.
After entering the verification code, set a password
Then you can use it normally. Come and try it and experience it.
Summarize
Judging from the current "AI small ecosystem" built by Amazon Cloud Technology, these generative AI capabilities and tools are no longer cold performance improvement figures, but excellent cost performance, providing practical enterprise technology solutions for enterprises to solve problems. plan. Looking back on itself, the reason why Amazon Cloud Technology can achieve these breakthroughs is because it regards every customer's problem as a new direction of exploration, implements the "exploration spirit" and "innovation spirit" throughout, and outputs down-to-earth technical capabilities and solution. No journey can be achieved without taking small steps. Amazon Cloud Technology relies on its enterprise service experience accumulated over the years to deeply understand enterprise needs and continue to gain insights in actual business. This will definitely help Amazon Cloud Technology stand out in the market competition.