IBM在TechXchange年度活动中发布了其迄今为止最先进的AI模型系列——Granite 3.0。该系列包括针对各种应用而设计的多个模型，例如通用语言模型、安全模型和混合专家模型。Granite 3.0的8B和2B语言模型在多个学术和行业基准测试中展现出与领先供应商同等规模的模型相当或更好的性能。这些模型定位为企业AI的通用工具，在检索增强生成（RAG）、分类、摘要和实体提取等任务中表现出色。IBM强调其对开源AI的承诺，Granite 3.0系列模型采用宽松的Apache 2.0许可证发布，为企业客户和更广泛的AI社区提供了性能、灵活性和自主性的独特组合。IBM认为，通过将紧凑的Granite模型与专有的企业数据结合，特别是使用其新颖的InstructLab对齐技术，企业可以实现与更大模型相当的特定任务性能，同时成本仅为其一小部分。早期概念验证表明，与大型前沿模型相比，潜在成本节省高达23倍。透明度和安全性仍然是IBM AI战略的首要任务。该公司发布了Granite 3.0的技术报告和负责任使用指南，详细介绍了所使用的数据集、数据处理步骤和基准测试结果。此外，IBM在其watsonx.ai平台上为所有Granite模型提供知识产权豁免，为企业在将这些模型与其自身数据集成时提供更大的信心。Granite 3.0 8B Instruct模型表现出特别令人鼓舞的结果，在标准学术基准测试中，其性能超过了来自Meta和Mistral的同等规模的开源模型。在IBM的AttaQ安全基准测试中，它还在所有衡量的安全维度上领先。IBM还推出了Granite Guardian 3.0模型，旨在通过检查用户提示和LLM响应以识别各种风险来实施安全防护。这些模型提供了一套全面的风险和危害检测功能，包括针对RAG特定问题的独特检查，例如基础性和上下文相关性。整个Granite 3.0模型套件可在HuggingFace上下载，并在IBM的watsonx平台上提供商业使用选项。IBM还与生态系统合作伙伴合作，将Granite模型集成到各种产品中，为全球企业提供更多选择。随着IBM不断推进其AI产品组合，该公司表示将重点发展更复杂的AI代理技术，使其能够实现更大的自主性和复杂问题解决能力。这包括计划在2025年在IBM watsonx Orchestrate中引入新的AI代理功能，并在其产品组合中构建代理功能。

😁 IBM发布了其迄今为止最先进的AI模型系列——Granite 3.0，该系列包括针对各种应用而设计的多个模型，例如通用语言模型、安全模型和混合专家模型。

🤖 Granite 3.0的8B和2B语言模型在多个学术和行业基准测试中展现出与领先供应商同等规模的模型相当或更好的性能，这些模型定位为企业AI的通用工具，在检索增强生成（RAG）、分类、摘要和实体提取等任务中表现出色。

🤝 IBM强调其对开源AI的承诺，Granite 3.0系列模型采用宽松的Apache 2.0许可证发布，为企业客户和更广泛的AI社区提供了性能、灵活性和自主性的独特组合。

💰 IBM认为，通过将紧凑的Granite模型与专有的企业数据结合，特别是使用其新颖的InstructLab对齐技术，企业可以实现与更大模型相当的特定任务性能，同时成本仅为其一小部分。

🛡️ 透明度和安全性仍然是IBM AI战略的首要任务。该公司发布了Granite 3.0的技术报告和负责任使用指南，详细介绍了所使用的数据集、数据处理步骤和基准测试结果。

🚀 随着IBM不断推进其AI产品组合，该公司表示将重点发展更复杂的AI代理技术，使其能够实现更大的自主性和复杂问题解决能力。

💪 IBM还推出了Granite Guardian 3.0模型，旨在通过检查用户提示和LLM响应以识别各种风险来实施安全防护，这些模型提供了一套全面的风险和危害检测功能，包括针对RAG特定问题的独特检查，例如基础性和上下文相关性。

IBM has taken the wraps off its most sophisticated family of AI models to date, dubbed Granite 3.0, at the company’s annual TechXchange event.

The Granite 3.0 lineup includes a range of models designed for various applications:

General purpose/language: 8B and 2B variants in both Instruct and Base configurationsSafety: Guardian models in 8B and 2B sizes, designed to implement guardrailsMixture-of-Experts: A series of models optimised for different deployment scenarios

IBM claims that its new 8B and 2B language models can match or surpass the performance of similarly sized offerings from leading providers across numerous academic and industry benchmarks. These models are positioned as versatile workhorses for enterprise AI, excelling in tasks such as Retrieval Augmented Generation (RAG), classification, summarisation, and entity extraction.

A key differentiator for the Granite 3.0 family is IBM’s commitment to open-source AI. The models are released under the permissive Apache 2.0 licence, offering a unique combination of performance, flexibility, and autonomy to both enterprise clients and the broader AI community.

IBM believes that by combining a compact Granite model with proprietary enterprise data, particularly using their novel InstructLab alignment technique, businesses can achieve task-specific performance rivalling larger models at a fraction of the cost. Early proofs-of-concept suggest potential cost savings of up to 23x less than large frontier models.

According to IBM, transparency and safety remain at the forefront of its AI strategy. The company has published a technical report and responsible use guide for Granite 3.0, detailing the datasets used, data processing steps, and benchmark results. Additionally, IBM offers IP indemnity for all Granite models on its watsonx.ai platform, providing enterprises with greater confidence when integrating these models with their own data.

The Granite 3.0 8B Instruct model has shown particularly promising results, outperforming similar-sized open-source models from Meta and Mistral on standard academic benchmarks. It also leads across all measured safety dimensions on IBM’s AttaQ safety benchmark.

IBM is also introducing the Granite Guardian 3.0 models, designed to implement safety guardrails by checking user prompts and LLM responses for various risks. These models offer a comprehensive set of risk and harm detection capabilities, including unique checks for RAG-specific issues such as groundedness and context relevance.

The entire suite of Granite 3.0 models is available for download on HuggingFace, with commercial use options on IBM’s watsonx platform. IBM has also collaborated with ecosystem partners to integrate Granite models into various offerings, providing greater choice for enterprises worldwide.

As IBM continues to advance its AI portfolio, the company says it’s focusing on developing more sophisticated AI agent technologies capable of greater autonomy and complex problem-solving. This includes plans to introduce new AI agent features in IBM watsonx Orchestrate and build agent capabilities across its portfolio in 2025.

See also: Scoring AI models: Endor Labs unveils evaluation tool

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