ฝัง
- เผยแพร่เมื่อ 19 ต.ค. 2024
- Traditional AI: Traditional AI relies on rule-based approaches, where explicit instructions and predefined rules are programmed to
enable the system to perform specific tasks. These rules are designed by human experts based on their understanding of the problem domain.
Generative AI? Generative AI enables users to quickly generate new content based on a variety of inputs. Inputs and outputs to
these models can include text, images, sounds, animation, 3D models, or other types of data.
How Does Generative AI Work?
Generative AI models use neural networks to identify the patterns and structures within existing data to generate new and original content.
3 Types of Artificial Intelligence
Artificial Narrow Intelligence (ANI)
Artificial General Intelligence (AGI)
Artificial Super Intelligence (ASI)
WatsonX is our enterprise-ready AI and data platform designed for your business.
The platform comprises three powerful products:
the watsonx.ai studio for new foundation models, generative AI and machine learning;
the watsonx.data fit-for-purpose data store, for analytics... built on an open lakehouse architecture;
the watsonx.governance toolkit, to accelerate AI workflows that are built with responsibility, transparency and explainability.
Why Watsonx?
Open
watsonx is based on the best open technologies available, providing you model variety
to cover enterprise use cases and compliance requirements.
Trusted
Watsonx is transparent, responsible, and governed. IBM’s models are trained on trusted
datasets, eliminating legal, regulatory, ethical and inaccuracy concerns.
Targeted
Watsonx is designed for enterprise and targeted at business domains; Watsonx is
designed for business use cases that unlock new value.
Empowering
Watsonx lets you go beyond just being an AI user and become an AI value creator, allowing you to train, fine-tune and deploy,
and govern the data and AI models you bring to the platform and own completely the value they create.
Watson Assistant: lets you build conversational interfaces into any application, device, or channel.
Add a natural language interface to your application to automate interactions with your end users. Common applications include
virtual agents and chat bots that can integrate and communicate on any channel or device.
