Foundation models in watsonx.ai

Enterprise-grade models with the power of choice

IBM watsonx models are tailored for enterprise use, finely tuned for specific business domains and applications. Utilizing the AI studio IBM watsonx.ai, we provide a range of economical, enterprise-level foundational models developed by IBM, as well as open-source and third-party options. This empowers clients and partners to efficiently scale and integrate artificial intelligence (AI) with reduced risk. Deploy these AI models wherever your workload resides, whether on-premises or in a hybrid cloud environment.

watsonx, ibm watsonx, watsonx.ai

IBM takes a differentiated approach to delivering enterprise-grade foundation models:

  • Open: Bring best-in-class IBM and proven open-source models to watsonx foundation model library or your library.
  • Trusted: Train models on trusted and governed data for applications that require enterprise-level transparency, governance and performance.
  • Targeted: Designed for the enterprise and optimized for targeted business domains and use cases.
  • Empowering: Empower clients with competitively priced model choices to build AI that best suits their unique business needs and risk profiles.

IBM model Point-of-view : A differentiated approach to AI foundation models –  pdf

IBM models

IBM watsonx foundation models library gives you the choice and flexibility to choose the model that best fits your business needs, regional interests and risk profiles from a library of proprietary, open-source and third-party models.

Granite, developed by IBM Research

Granite is IBM’s flagship series of LLM foundation models based on decoder-only transformer architecture. Granite language models are trained on trusted enterprise data spanning internet, academic, code, legal and finance. Currently we have four models in the Granite series.

  1. Granite 13b chat: Chat model optimized for dialogue use cases and works well with virtual agent and chat applications
  2. Granite 13b instruct: Instruct model trained on high-quality finance data to perform well in finance domain tasks
  3. Granite multilingual: Trained to understand and generate text in English, German, Spanish, French and Portuguese
  4. Granite Japanese: Designed to perform language tasks on Japanese text

IBM Embedding Models

Use IBM developed and open-sourced embedding models, deployed in IBM watsonx.ai, for retrieval augmented generation, semantic search and document comparison tasks.

  • slate-125m-english-rtrvr: provided by IBM with an output dimension of 768
  • slate-30m-english-rtrvr: provided by IBM with an output dimension of 384

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