In the video, the speaker emphasizes the importance of selecting the right generative AI models for businesses, particularly focusing on the Granite AI models. These models are categorized into encoder models, which excel at text analysis, and decoder models, which are adept at text generation. The Granite models are specifically decoder-only models designed to enhance business applications such as customer support, HR automation, regulatory compliance, threat management, and cybersecurity. Their purpose is to automate mundane tasks, thereby freeing up time for employees.
The Granite models are built on trusted content sources, including the USPTO, SEC, Wikimedia, and various financial and research resources, which enhances their reliability. The speaker highlights several key capabilities of the Granite models, including question answering (Q&A), text generation, information extraction, summarization, and classification. For instance, the Granite 13b Chat model is particularly effective for multi-turn conversations, providing contextually relevant responses while minimizing bias.
Information extraction is another significant feature of the Granite models, allowing users to quickly surface critical data from extensive documents, such as customer information or contract clauses. The Granite 34b Instruct model excels in this area, making it easier to retrieve essential details. Additionally, the summarization capability of the Granite models can save time by condensing large documents or meeting notes into concise overviews, which is a common task in many organizations.
Classification is also a vital function of the Granite models, enabling businesses to categorize customer feedback, employee satisfaction surveys, and various documents efficiently. The speaker notes that the Granite models support multiple languages, with the 20b Multilingual model catering to the top five languages globally, including German, French, Italian, Spanish, and Portuguese. This multilingual capability allows for bi-directional translation while preserving the nuances and context of the original text.
In conclusion, the speaker advises businesses to focus on three criteria when selecting generative AI models: trustworthiness, targeted functionality, and efficiency. Furthermore, they encourage the incorporation of AI ethics principles, ensuring that the models are fair, reduce bias, and are explainable. By adopting the Granite models responsibly, organizations can leverage generative AI to enhance their operations and drive innovation.
