IBM Granite 3.0 AI 模型：效率和准确性的飞跃

IBM 推出 Granite 3.0，通过提高性能和效率来增强生成式 AI。这些模型专为从文本生成到客户服务的各种应用而设计，具有行业领先的信任度和安全性。

IBM has unveiled the third generation of its Granite generative AI models, promising improved accuracy and efficiency. The models are designed to meet both academic and enterprise benchmarks, positioning themselves competitively with leading open models of similar sizes.

IBM 推出了第三代 Granite 生成式人工智能模型，承诺提高准确性和效率。这些模型旨在满足学术和企业基准，使自己能够与类似规模的领先开放模型竞争。

According to the NVIDIA Technical Blog, the Granite 3.0 models are available as NVIDIA NIM microservices, making them easy to integrate into existing systems. The models are designed to support a range of applications, including text generation, classification, and customer service chatbots. They are intended to serve as fundamental components in complex workflows, highlighting their capacity to handle diverse enterprise needs.

据 NVIDIA 技术博客称，Granite 3.0 模型可作为 NVIDIA NIM 微服务使用，使其能够轻松集成到现有系统中。这些模型旨在支持一系列应用，包括文本生成、分类和客户服务聊天机器人。它们旨在充当复杂工作流程中的基本组件，突出它们处理不同企业需求的能力。

The Granite 3.0 release includes dense text-only large language models (LLMs) and Mixture of Experts (MoE) LLMs, among others. These models leverage advanced techniques such as group-query attention and rotary position encodings, which contribute to their superior performance. Moreover, speculative decoding enhances inference speed, allowing the models to generate text more swiftly while conserving computational resources.

Granite 3.0 版本包括密集的纯文本大型语言模型 (LLM) 和专家混合 (MoE) LLM 等。这些模型利用了组查询注意力和旋转位置编码等先进技术，这有助于其卓越的性能。此外，推测性解码提高了推理速度，使模型能够更快地生成文本，同时节省计算资源。

Benchmark tests reveal that the Granite 3.0 models excel in various metrics, often surpassing competitors like Mistral and Llama models. For instance, the Granite-3.0 8B model achieved significant scores across numerous tasks, showcasing its effectiveness in handling complex queries and generating accurate responses.

基准测试表明，Granite 3.0 模型在各种指标上都表现出色，经常超越 Mistral 和 Llama 模型等竞争对手。例如，Granite-3.0 8B 模型在众多任务中取得了显着的成绩，展示了其在处理复杂查询和生成准确响应方面的有效性。

One of the notable advancements in Granite Generation 3 is the introduction of MoE models, which are optimized for low-latency environments and are ideal for on-device applications. These models incorporate fine-grained experts and innovative techniques like Dropless Token Routing to maintain efficiency and balance in token processing.

Granite Generation 3 的显着进步之一是引入了 MoE 模型，该模型针对低延迟环境进行了优化，非常适合设备上应用。这些模型结合了细粒度的专家和创新技术，例如无滴代币路由，以保持代币处理的效率和平衡。

IBM has also focused on safety with the Granite Guardian models, which are fine-tuned to assess and classify risks such as bias and unethical behavior. These models ensure that AI outputs are reliable and adhere to ethical standards, making them suitable for sensitive applications.

IBM 还通过 Granite Guardian 模型关注安全性，该模型经过微调，可以评估和分类风险，例如偏见和不道德行为。这些模型确保人工智能输出可靠并遵守道德标准，使其适合敏感应用。

In partnership with NVIDIA, IBM offers the Granite models through the NVIDIA NIM platform, facilitating secure and efficient deployment across various environments. This collaboration ensures that enterprises can leverage high-performance AI inferencing, enhancing their operational capabilities.

IBM 与 NVIDIA 合作，通过 NVIDIA NIM 平台提供 Granite 模型，促进跨各种环境的安全、高效部署。此次合作确保企业能够利用高性能人工智能推理，增强其运营能力。

Those interested in exploring IBM's Granite 3.0 models can find detailed documentation and deployment guides, providing a pathway to integrate these advanced AI solutions into their existing infrastructure.

那些有兴趣探索 IBM Granite 3.0 模型的人可以找到详细的文档和部署指南，提供将这些先进的 AI 解决方案集成到现有基础设施中的途径。