University of Kwazulu-Natal

Watson Libraries Embeddable Ai That Works For You

Bonisiwe Shabane
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watson libraries embeddable ai that works for you

Assets/Accelerators for Watson NLP (this repo) contains self-serve notebooks and documentation on how to create NLP models using Watson NLP library, how to serve Watson NLP models, and how to make inference requests from... With an IBM Cloud account a full production sample can be deployed in roughly one hour. Machine Learning notebooks, tutorials, and datasets focused on supporting a Data Science Engineer are under the ML folder. Assets focused on deployment are under the MLOps folder. Go to the respective folders to learn more about these assets. Michael Spriggs, Principal Architect Shivam Solanki, Senior Advisory Data Scientist Kevin Huang, Sr.

ML-Ops Engineer Abhilasha Mangal, Senior Data Scientist Himadri Talukder - Senior Software Engineer This framework is developed by Build Lab, IBM Ecosystem. Please note that this content is made available to foster Embeddable AI technology adoption and serve ecosystem partners. The content may include systems & methods pending patent with the USPTO and protected under US Patent Laws. SuperKnowa is not a product but a framework built on the top of IBM watsonx along with other products like LLAMA models from Meta & ML Flow from Databricks. Using SuperKnowa implicitly requires agreeing to the Terms and conditions of those products.

This framework is made available on an as-is basis to accelerate Enterprise GenAI applications development. In case of any questions, please reach out to kunal@ibm.com. IBM has recently released a framework that is specifically designed for developers to embed AI into their solutions. IBM Watson for Embed lowers the barrier for AI adoption by helping address the skills shortage and development costs that are required to build AI models from scratch. A common framework is used to run AI libraries including natural language processing (NLP) and Speech. More AI libraries are coming soon.

The AI libraries run as containers and provide REST and gRPC interfaces, making them easily embeddable into solutions. Although this embeddable approach is new, the underlying functionality is already optimised and used in existing IBM cloud services like Watson Assistant, NLU (Natural Language Understanding), Speech to Text and Text to Speech. The IBM Watson NLP Library provides pre-trained models for NLP tasks including sentiment analysis, phrase extraction and text classification. It is built on leading open source software, with IBM providing the benefit of stable and supported interfaces, a wide choice of languages and enterprise support. Optionally, custom models can be created and served using the same framework as the pre-trained models. The IBM Watson Speech Library provides customisable speech-to-text, and text-to-speech using a selection of male and female voices.

To try IBM Watson for Embed, a trial is available. The container images are stored in an IBM container registry that is accessed via an IBM Entitlement Key. IBM provides Watson NLP (Natural Language Understanding), Watson Speech To Text and Watson Text To Speech as containers which can be embedded in cloud-native applications. There is quite a bit of information available about these technologies. This post lists links to documentation, tutorials, test environments, and more. Easily embed AI technology into your solutions to add capabilities that differentiate your business and accelerate innovation with AI agents.

IBM’s embeddable AI portfolio empowers independent software vendors (ISVs) to easily add new AI-driven capabilities to their solutions. Whether you’re looking to drive productivity, simplify and scale deployment, or securely unify your data sources, IBM has the technology to help you quickly bring your visions to life, in any IT environment. IBM’s agentic AI approach enables you to seamlessly leverage and integrate pre-built agents with deep domain expertise in HR, procurement, and sales into your commercial solution. The portfolio also enables you to reduce your time-to-market, expand your reach, and maximize your revenue potential. By partnering with IBM, you get access to go-to-market resources and flexible pricing options that fit your business goals. Partner with IBM to embed AI capabilities to your commercial solution.

Fit-for-purpose enterprise solutions that are created with IBM and open-source models such as Llama, Mistral and Flan.

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