IBM Granite 3.0 AI Model
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An IBM Granite 3.0 AI Model is a IBM Granite neural LM release in 2024.
- Context:
- It can Be designed for high-performance, enterprise-focused natural language processing (NLP) and retrieval-augmented generation (RAG) tasks.
- It can utilize Granite Model Variants like general-purpose models, safety-focused models, and Mixture-of-Experts (MoE) models to support a range of applications from text generation to entity extraction.
- It can perform efficiently on both GPU- and CPU-based deployments, thanks to optimizations for low-latency inference, making it suitable for enterprise and edge computing environments.
- It can provide flexibility for enterprise and research use due to its open-source availability under the Apache 2.0 license.
- It can process tasks in 12 human languages and 116 programming languages, offering multilingual and multi-modal processing capabilities.
- It can ensure data safety and transparency by incorporating curated and filtered datasets, with detailed documentation of training methodologies.
- It can perform robustly in benchmarked evaluations like RAGBench, demonstrating competitive performance across various NLP tasks when compared to similar models.
- It can be accessed on multiple platforms, including IBM's watsonx platform, Google Cloud Vertex AI, Hugging Face, NVIDIA, Ollama, and Replicate.
- …
- Example(s):
- A Granite 3.0 8B model that demonstrates competitive performance in retrieval-augmented generation tasks across a dataset of 100,000 queries.
- The Granite Guardian 3.0 model, which offers safety-focused NLP for enterprise applications, minimizing risks associated with objectionable content generation.
- …
- Counter-Example(s):
- See: Neural Language Model, Retrieval-Augmented Generation (RAG), IBM Watson, Mixture-of-Experts (MoE), Enterprise AI Solutions.