IBM Granite 3.0 AI 模型：效率和準確性的飛躍

IBM 推出 Granite 3.0，透過提高效能和效率來增強生成式 AI。這些模型專為從文字生成到客戶服務的各種應用而設計，具有業界領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 生成式人工智慧模型，承諾提高準確性和效率。這些模型旨在滿足學術和企業基準，使自己能夠與類似規模的領先開放模型競爭。

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.

據 NVIDIA 技術部落格稱，Granite 3.0 型號可作為 NVIDIA NIM 微服務使用，使其能夠輕鬆整合到現有系統中。這些模型旨在支援一系列應用，包括文字生成、分類和客戶服務聊天機器人。它們旨在充當複雜工作流程中的基本組件，突顯它們處理不同企業需求的能力。

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 版本包括密集的純文字大型語言模型 (LLM) 和專家混合 (MoE) LLM 等。這些模型利用了群組查詢注意力和旋轉位置編碼等先進技術，這有助於其卓越的性能。此外，推測性解碼提高了推理速度，使模型能夠更快地產生文本，同時節省計算資源。

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.

基準測試表明，Granite 3.0 車型在各種指標上都表現出色，經常超越 Mistral 和 Llama 車型等競爭對手。例如，Granite-3.0 8B 模型在眾多任務中取得了顯著的成績，展示了其在處理複雜查詢和產生準確回應方面的有效性。

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 的顯著進步之一是引入了 MoE 模型，該模型針對低延遲環境進行了最佳化，非常適合設備上應用。這些模型結合了細粒度的專家和創新技術，例如無滴代幣路由，以保持代幣處理的效率和平衡。

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 也透過 Granite Guardian 模型關注安全性，該模型經過微調，可以評估和分類風險，例如偏見和不道德行為。這些模型確保人工智慧輸出可靠並遵守道德標準，使其適合敏感應用。

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 與 NVIDIA 合作，透過 NVIDIA NIM 平台提供 Granite 模型，促進跨各種環境的安全、高效部署。此次合作確保企業能夠利用高性能人工智慧推理，增強其營運能力。

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.

有興趣探索 IBM Granite 3.0 模型的人可以找到詳細的文件和部署指南，提供將這些先進的 AI 解決方案整合到現有基礎設施中的途徑。