Generating poem, art, or a song through AI is fun, but when AI is applied to business, you need to think bigger. AI for businesses need to be built based on requirements, based on higher standards. When you build AI in the core of your business, it needs to be trusted, secured, scalable, and adaptable.
In this video, we'll focus on watsonx.ai. watsonx.ai is a studio of integrated tools powered by foundation models for working with generative AI and building machine learning models. With watsonx.ai, you can train, tune, deploy, and manage foundation models easily. This helps you build AI applications in a fraction of the time and with a fraction of the data.
Previous: Create a Voice Assistant with OpenAI's GPT-3 and IBM Watson | Tiếng Việt |
Welcome to IBM watsonx.ai. After reading this post, you'll be able to:
- Explain the capabilities and features of IBM watsonx.ai,
- Identify the common tools available in Watsonx.ai.
AI and business
Generating poem, art, or a song through AI is fun, but when AI is applied to business, you need to think bigger. AI for businesses need to be built based on requirements, based on higher standards. When you build AI in the core of your business, it needs to be trusted, secured, scalable, and adaptable.
IBM watsonx
Here is a platform that helps businesses leverage AI IBM watsonx. IBM watsonx is an integrated AI and data platform for AI builders. The watsonx platform comprises three products.
- watsonx.ai: The first product is watsonx.ai, a studio for new foundation models, generative AI, and machine learning.
- watsonx.data: The second product is watsonx.data, which is a data store.
- watsonx.governance: And the third product is watsonx.governance, which is a toolkit for monitoring and governance.
Introducing watsonx.ai
- Studio of integrated tools
- Powered by foundation models
- Working with generative AI
- Building machine learning models
Build AI applications quickly |
With watsonx.ai, these are some prominent goals you can achieve, build machine learning models, experiment with foundation models, and manage the AI lifecycle. Based on your goal, you can select the tasks offered by watsonx.ai. These tasks can be performed using the tools provided on the platform.
watsonx.ai and the AI lifecycle
The tasks and tools in watsonx.ai align with the AI lifecycle of a model. You prepare your data, build an experiment, and train models and solutions. Then you deploy your models and start building your applications. Subsequently, you manage these models and repetitive processes.
Models in watsonx.ai
- Open-source models from Hugging Face
- IBM-trained foundation models
- Organization models and data
watsonx.ai offers access to IBM's selected open-source models from Hugging Face, as well as a family of IBM-trained foundation models of different sizes and architectures. As an AI value creator, you can also bring your models and data to watsonx.ai.
Prompt Lab in watsonx.ai
With tools like Prompt Lab, AI builders can experiment with foundation models and build prompts that meet their needs. Prompt Lab enables users to experiment with prompts to support a range of natural language processing or NLP tasks, including:
- Question answering
- Content generation
- Content summarization
- Text classification
- Text extraction
Tuning Studio in watsonx.ai
As an AI creator, you may also want to customize models based on your data and for your business use cases. watsonx.ai enables you to do so using the Tuning Studio tool. With this tool, subsequent versions of watsonx.ai will include tuning methods and examples for prompt tuning and fine-tuning foundation models for better performance and accuracy.
Pipelines in watsonx.ai
Multistep process for AI model lifecycle |
Putting a model into a product is a multistep process. For managing and automating a model lifecycle, watsonx.ai provides the Pipeline tool. The Pipeline tool can be used to automate the steps involved in:
- Loading data
- Training models
- Deploying models
- Evaluating models
This can reduce the time to get a model into production and improve the accuracy and reliability of models.
Security in watsonx.ai
IBM watsonx.ai ensures the security of the data and models you work on. Your data and the models you create are accessible only to you. Your data is stored in an encrypted format. The models that you create are also private to your account. IBM does not have access to your data or models, and they will never be used by IBM or any other person or organization without your permission.
Recap
In this post, you learned about:
IBM watsonx.ai:
- An AI and data platform that helps businesses create AI responsibly and with transparency. One of the products of watsonx is watsonx.ai.
watsonx.ai:
- A studio of integrated tools to train, tune, and deploy generative AI models.
Prominent tools offered in watsonx.ai include:
- Prompt Lab
- tuning studio
- Pipeline toolCreate a Voice Assistant with OpenAI's GPT-3 and IBM Watson
Source: https://skills.network
Nhãn:
AI