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This morning, Microsoft officially announced its latest innovative small-parameter model, Mu. This model has only 330 million parameters, yet it can match the performance of Microsoft's previously released Phi-3.5-mini, while being just one-tenth the size of Phi-3.5-mini. More notably, Mu can achieve a response speed of over 100 tokens per second on offline NPU laptops, which is a rare breakthrough in the field of small-parameter models. A major highlight of the Mu model is its support for setting intelligent features in Windows.

Microsoft has unveiled Phi-4, a new multimodal and mini-model designed to significantly improve processing capabilities across speech, vision, and text. This release represents a notable advancement in AI technology.

AI検索プラットフォームのPerplexityは、ProバージョンにAnthropic社が新たにリリースしたClaude 3.7 Sonnetモデルを統合したことを発表しました。Perplexity公式のXプラットフォームによる最新情報によると、同社は数週間このモデルの内部テストを実施し、エージェントワークフローとコード生成能力において著しい進歩を確認したとのことです。Perplexityはツイートで「Claude 3.7 SonnetがPerple…」と発表しました。

Microsoft announced that its Phi series of generative AI models has a new member - Phi-4. Compared to previous versions, Phi-4 shows improvements in several areas, particularly in solving mathematical problems, thanks to the enhanced quality of training data. As of Thursday evening, access to Phi-4 is relatively limited, available only on Microsoft's newly launched Azure AI Foundry development platform and restricted to research purposes under the Microsoft Research Licensing Agreement. Image source note: Image generated by AI, image licensed.

Microsoft has released Phi-3.5-vision, a lightweight, multimodal open source AI model designed for processing textual and visual inputs, supporting a context length of 128K. This model is suitable for resource-constrained environments and features capabilities such as image understanding, OCR, chart parsing, and multi-image summarization, showcasing excellent performance and low latency. Comprised of 4.2 billion parameters, it is trained with high-quality data to ensure performance and privacy. It includes three models: lightweight AI, expert mix, and multimodal model, all demonstrating outstanding performance in image and video processing benchmarks.

Microsoft has released three new AI models aimed at enhancing its leadership in the multilingual and multimodal fields. The Phi-3.5 Mini Instruct is a lightweight model suitable for task execution, code generation, and logical reasoning, excelling particularly in multilingual and multi-turn conversations. The Phi-3.5 MoE (Mixture of Experts) model is rich in parameters and supports various inference tasks, especially outperforming peers in code, mathematics, and multilingual understanding. The Phi-3.5 Vision Instruct integrates text and image processing capabilities.

Microsoft has announced the launch of serverless fine-tuning capabilities for the Phi-3 small language model, enabling developers to easily adjust model performance on the Azure AI platform without managing underlying infrastructure, and it is free for initial use. The Phi-3 model, with 3 billion parameters, is suitable for enterprise developers, offering efficient performance at a lower cost. Although it has fewer parameters compared to OpenAI's GPT-3.5, it performs similarly across various applications. Serverless fine-tuning simplifies operations, reduces barriers, and supports the fine-tuning of small to medium models.

Mistral AI was founded in May 2023. Mistral Large is comparable to GPT-4. Mistral AI launched the chat assistant Le Chat. Mistral AI's business model is similar to OpenAI. Microsoft reached a collaboration agreement with Mistral AI to continue developing in the AI field. Microsoft is developing a new small model, Phi-2. Microsoft has reached a multi-billion dollar chip deal with Intel.