API 支持两层安全性,首先,模型内置了对“安全提示”参数的支持;其次,启用了 Azure AI Content Safety 可筛查模型生成的有害内容,帮助开发人员构建安全可信的应用程序。 Mistral Large 模型 Mistral Large 是Mistral AI 最先进的大型语言模型,首次在 Azure 和 Mistral AI 平台上推出。由于其具备先进的推理和知识能...
Mistral Large 在常用基准测试中取得了优异的成绩,使其成为世界上排名第二的可通过 API 普遍使用的模型(仅次于 GPT-4)[有关基准测试的详细信息,请参阅下文]。 https://mistral.ai/technology/#models https://docs.mistral.ai/platform/pricing/
Mistral Large 2 (24.07) The latest version of Mistral AI's flagship large language model, with significant improvements on multilingual accuracy, conversational behavior, coding capabilities, reasoning and instruction-following behavior. Max tokens: 128K ...
Python API usage: >>> model_config = model() >>> print(model_config) """ return run.Config(MistralModel, config=run.Config(MistralNeMoConfig12B)) def trainer( tensor_parallelism: int = 2, pipeline_parallelism: int = 1, pipeline_parallelism_type: Optional[torch.dtype] = None, virtual_pi...
Mistral Large (2402),Mistral Large (2407),Mistral Small, andMistral Nemocan be deployed as a serverless API with pay-as-you-go billing and are offered by Mistral AI through the Microsoft Azure Marketplace. Mistral AI can change or update the terms of use and pricing of these models. ...
Enter the obtained API key Choose a Mistral AI model for your AI assistant to start the conversation During usage, you may need to pay the API service provider, please refer to Mistral AI's relevant pricing policies. You can now engage in conversations using the models provided by Mistral AI...
Mistral 7B is a new 7.3 billion parameter language model that represents a major advance in large language model (LLM) capabilities. It has outperformed the 13 billion parameter Llama 2 model on all tasks and outperforms the 34 billion parameter Llama 1 on many benchmarks. Remarkably, Mistral...
new( credentials: { api_key: ENV['MISTRAL_API_KEY'] }, options: { server_sent_events: true } ) Custom Address You can use a custom address: require 'mistral-ai' client = Mistral.new( credentials: { address: 'https://api.mistral.ai', api_key: ENV['MISTRAL_API_KEY'] }, options...
Pricing ranges depending on the model you use. For example, Mistral 7B costs $0.25 per 1 million input tokens, while Mistral Large costs $24 per 1 million output tokens. You can also interact with Mistral’s Large and Small models via Le Chat, the company’s free AI chatbot. Is Mistral...
Training LLMs on Large JSON Files:建议使用数据检索传递正确的上下文给LLM,涉及多次API调用以优化搜索和上下文提供。source Embedding and Contextual Responses in Chatbots:建议单独嵌入关键信息以提高语义搜索准确性。source Optimizing Code Explanation with LLMs:建议专注于提供相关声明、对象模型和函数名称,灵感来自Gi...