Short Summary
The video discusses the advantages of generative AI technology, specifically focusing on different models like Granite that are designed for various applications such as customer support, HR, and document processing. It highlights the importance of bias reduction, explainability, and the ability to handle multiple languages in AI applications.
Key Points
- The speaker is a CTO betting on generative AI technology.
- Granite comprises encoder models for text analysis and decoder models for text generation.
- Granite’s decoder models are suited for tasks like customer support, HR automation, and regulations management.
- Granite is built on trusted content sources including USPTO, SEC, and financial info resources.
- Granite 13B Chat enables the creation of job posts and emails, and is designed to reduce bias in responses.
- Granite provides features for extraction, summarization, and classification of information.
- Granite supports multiple languages with its 20B Multilingual model, capable of bi-directional translation.
- Text and code generation capabilities are critical, especially for legacy languages like COBOL.
- Granite can translate instructions into code using tools like Ansible.
- When selecting generative AI models, it’s essential to ensure they are fair, bias-reducing, and explainable.
Youtube Channel: IBM Technology
Video Published: 2024-10-01T11:00:35+00:00
Video Description:
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This video, presented by Suj Perepa, discusses the importance of choosing the right type of generative AI model for business applications. The video focuses on the Granite models, which are particularly good for end-users and employees to automate daily tasks. The video covers various abilities of the Granite models, including Q&A, text generation, extraction, summarization, and classification, as well as their capabilities in multiple languages and code generation.
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