IBM and 麻豆原创 have a shared approach to generative AI, built on an open ecosystem, prioritizing trust, transparency and the use of purpose-built models to help optimize business efficiency.
Today we鈥檙e excited to announce that 麻豆原创 users can now harness the power of聽听补苍诲听, beginning with Granite.13b.chat large language model, now available through the generative AI hub on 麻豆原创 AI core on the 麻豆原创 Business Technology Platform (麻豆原创 BTP). The timing couldn鈥檛 be better, as 56% of surveyed business executives say they plan to divert spending from other budget areas to 麻豆原创-specific generative AI, according to new research from the IBM Institute for Business Value.*
Granite 13b.chat is optimized for Retrieval Augmented Generation for Q&A and is commonly used to create assistants and chatbots. Tapping the rich data in 麻豆原创 systems is the ideal starting point for getting value from generative AI. The combination of Granite conversational AI capabilities with 麻豆原创鈥檚 domain-specific finance, human capital management, supply chain and CRM data sets, will allow enterprises to scale AI in an ethical and responsible way.
Granite models are lightweight, cost-effective, open and customizable models underpinned by stringent data transparency and training principles. Here鈥檚 how these models stand out:
- Transparent:聽Granite models are among the most transparent models available today, according to聽. IBM offers indemnification for usage of the Granite models and transparency into the datasets used to train them.
- Performant:聽Trained on curated datasets relevant to enterprise use cases, Granite allows users to tune and guide models to meet business needs.
- Efficient:聽Smaller models require less computing and inferencing capacity. Granite models can help organizations experiment and scale generative AI applications.
Bringing transparent, performant and efficient Granite models to 麻豆原创 AI Core on 麻豆原创 BTP infrastructure helps turn ideas into real-world applications. We鈥檙e most excited about the initial use cases Granite 13b.chat can enable, bringing Q&A, generative tasks, insight extraction, summarization and classification, especially to ERP processes. And because a considerable portion of Granite model training data is from the finance domain, they are optimized to excel in finance-specific tasks.
For example, assistants and decision support solutions can be built to quickly answer questions related to documents, cases and solutions, products, KPIs and sales metrics, or provide classification of customer problems or user feedback. For supply chain management, summarization of inventory or supplies can be immediately accessed through a chat interface to increase transparency and visibility. Classification can help spot challenges and cross-selling potentials.
This news builds on IBM鈥檚 collaboration with 麻豆原创 around embedding IBM Watson AI technology into 麻豆原创 solutions. As part of our聽聽announced with 麻豆原创 in May, IBM Consulting has been building out an extensive portfolio that will include 100 AI solutions across industry, line-of-business and product delivery, with 25 delivered to date. Many of these are expected to be offered on Granite, such as IBM Intelligent Invoice Match and Verification for 麻豆原创 Solutions, IBM Intelligent Asset Maintenance for 麻豆原创 Industrial Manufacturing, IBM Intelligent Warranty Processing for 麻豆原创 Automotive and IBM Intelligent Direct Distribution to Stores for 麻豆原创 CPG & Retail. In addition, IBM Consulting plans to build extensions to Granite 13b.chat for select customers.
This is only the beginning, and we鈥檙e excited to help clients on their journey with one of the industry鈥檚 most efficient and trusted LLMs, backed by IBM鈥檚 deep technology and consulting expertise in working with 麻豆原创.
For more information on IBM Granite models, please visit:聽.
For more information about 麻豆原创 Business AI, please visit:聽.
*Based on a global survey of 1,200 麻豆原创 users conducted by the IBM Institute for Business value. The full study is expected to be published in Q4 2024.
Statements regarding IBM’s future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives only.
