Watsonx.ai is part of the IBM watsonx platform that brings together new generative AI capabilities, powered by foundation models and traditional machine learning into a powerful studio spanning the AI lifecycle. With watsonx.ai, you can train, validate, tune and deploy generative AI, foundation models and machine learning capabilities with ease and build AI applications in a fraction of the time with a fraction of the data.
Fostering Resilience and Growth
Promote a mindset that not only accepts complexity but views it as an opportunity for personal growth and development. Provide insights into how embracing complexity can lead to increased resilience, adaptability, and a deeper understanding of oneself and the world.
Strategies for Navigating Complexity
Offer readers actionable strategies and tools to effectively navigate and manage the intricate situations and decisions they encounter, ensuring they are equipped to thrive amidst chaos.
Understanding the Roots of Complexity
Delve into the origins and nature of life's complexities, exploring how they manifest in various aspects of our daily lives—from personal relationships to professional challenges.
Clients have access to IBM selected open source models from Hugging Face, as well as other third-party models including Llama- 2-chat and StarCoder LLM for code generation, and a family of IBM-trained foundation models of different sizes and architectures. These models start with Slate for non-generative AI tasks and the Granite series models that use a decoder architecture to support a variety of enterprise NLP generative AI tasks.
Where AI builders can work with foundation models and build prompts using prompt engineering. Within the Prompt Lab, users can experiment with zero-shot, one-shot, or few-shot prompting to support a range of Natural Language Processing (NLP) type tasks including question answering, content generation and summarization, text classification and extraction.
Subsequent watsonx.ai releases will include capabilities for prompt tuning and fine- tuning foundation models as part of our Tuning Studio to help tune your foundation models with labeled data for better performance and accuracy.
All the tools, pipelines and runtimes powered by foundation models, a data scientist would need to support building machine learning models automatically. Automate the entire AI model lifecycle from development to deployment with connections to a variety of APIs, SDKs and libraries.
In an era where Generative AI and foundation models are revolutionizing machine learning, the importance of intuitive design cannot be overstated. 'Designing the Future' delves into the intersection of advanced AI technologies and human-centric design principles. This exploration emphasizes the role of UI/UX in ensuring that as AI systems become more sophisticated, they remain accessible, user-friendly, and tailored to human needs. Through a studio-driven approach, we'll uncover how designers and engineers collaborate to create innovative solutions, ensuring that technology not only serves its purpose but also enhances user experience in meaningful ways.
From writing marketing emails to creating customer personas, watsonx.ai is your new creative partner. Just specify what you want, set the parameters and let the AI do the work.
In the fast-paced world of AI advancements, traditional AI models and techniques hold significant value and foundational insights. "Accelerating Legacy" delves into strategies and best practices to bring these established AI systems into production swiftly and efficiently. By blending tried-and-true methods with modern deployment techniques, this exploration showcases how to harness the power of classic AI models in today's dynamic tech landscape.
Single collaborative studio for data scientists to build, train and deploy machine learning models. It supports a wide range of data sources enabling teams to streamline their workflows. With advanced features like automated machine learning and model monitoring, users can manage their models throughout the development and deployment lifecycle.
Work with IBM's suite of curated foundation models trained to ensure model trust and efficiency in business applications, or you can bring your own models to further train and tune. You can experiment with open source models through IBM's partnership with Hugging Face, allowing you to define the best models for your needs.
Bring your own
You can use watsonx.ai to train and tune your own models using our advanced prompt- capabilities full SDK and API libraries.
IBM + Hugging Face
Through IBM’s partnership with Hugging Face, you can experiment with open source models, allowing you to define the best models for your needs.
IBM curated models
Work with IBM’s suite of foundation models designed to ensure model trust and efficiency in business applications.
Introduction:
Bring together AI builders
As an early adopter of AI, we are excited to explore how watsonx.ai can help us simplify content classification, discoverability and summarization.
- Marc Martina, President/CEO, Technology Dynamics, Inc.
Bring together AI builders
Watsonx.ai allows us to slash delivery time from 3-4 months down to 3-4 weeks for many customer care use cases.
- Krish Mantripragada, Chief Product Officer,Seismic
IBM curated models
Providing IT agents with a comprehensive and accurate information source quickly and reliably eliminates the need to go through multiple documents manually. Integrating watsonx.ai capabilities with our data information sources, we can correlate and summarize information from various documents, delivering concise natural language answers.
- David Tan, CTO, CrushBank Technology,Inc.
