IBM offers a wide range of AI models through the Watson Foundation Models Library. These models include IBM’s own models, open-source models, and models from other companies. This variety gives businesses the flexibility to choose the best model for their needs.
IBM’s Unified Approach to Large Language Model Deployment
IBM uses a unified strategy for deploying large language models (LLMs). They work with open-source projects and develop their own models, making it easier for businesses to use AI. This approach combines large and small models to create customised solutions, helping businesses integrate AI more effectively. The Watsonx platform is a good example of how IBM combines AI with important data to speed up adoption and maximise benefits globally.
Why do Business Applications Need IBM LLM Models?
Business Focus: IBM’s LLMs are designed specifically for business tasks like customer service and financial documentation, leading to more accurate and useful results.
Efficiency: LLMs can automate repetitive tasks such as generating reports, writing emails, and answering customer questions, freeing up employees to focus on more important work.
Security and Customization: IBM’s models are built with security and explainability in mind. The Watsonx platform allows businesses to customize models to fit their specific data and needs.
IBM’s Strategy On Foundation Models
- Unified deployment platform
- Partnerships with open-source initiatives
- Innovation in large language models
- Integrated platform for business applications
- Hybrid approaches for customization
IBM’s Granite: Leading LLM Foundation Models
IBM Research introduces Granite, a groundbreaking series of LLM foundation models built on decoder-only transformer architecture. Trained on diverse enterprise datasets spanning internet, academic, code, legal, and finance domains, Granite represents IBM’s forefront in language modelling technology.
Granite Series Models
- Granite 13b Chat: Tailored for dialogue-centric applications, this model excels in virtual agent and chat scenarios.
- Granite 13b Instruct: Fine-tuned with high-quality finance data, and ideal for tasks within the finance domain.
- Granite Multilingual: Proficient in English, German, Spanish, French, and Portuguese, enabling comprehension and generation across multiple languages.
- Granite Japanese: Specialized in Japanese language tasks, providing targeted support in the Japanese language domain.
Embedding Models by IBM
Utilize IBM’s embedding models, available on Watsonx.ai, for enhanced generation, semantic search, and document comparison tasks. These models include:
- slate-125m-english-rtrvr: Output dimension of 768
- slate-30m-english-rtrvr: Output dimension of 384
AI Innovation with Meta’s Llama 3 on watsonx.ai Platform
IBM has announced the integration of Meta’s Llama 3, the next generation of large language models, into its watsonx.ai platform. It expands IBM’s AI offerings, which include its proprietary Granite series and models from leading providers like Meta. The Llama 3 model, available in 8B and 70B parameter configurations, offers improved performance over Llama 2 and supports diverse use cases such as summarization, classification, content creation, and enterprise applications. The 8B version focuses on edge device efficiency, while the 70B model targets complex tasks like conversational AI and research.
IBM collaborates closely with enterprises to customize Llama models for specific needs, exemplified by its work with the Recording Academy to create a content engine for GRAMMYs. Additionally, IBM offers Code Llama 34B, specialized for code generation, and provides flexibility for deploying Llama models either on-premises or via SaaS.
Conclusion: A Future Empowered by Generative AI
AI is rapidly evolving, and generative AI has the potential to transform various industries. IBM leads the way with responsible AI development, offering tools like the Watson Foundation Models Library and the Granite series. By blending open-source collaboration, proprietary innovation, and a unified deployment platform, IBM helps businesses use generative AI safely and effectively, ensuring responsible growth and innovation.
