集中查看 DeepSeek、智谱 GLM、通义千问、OpenAI 和 Claude 等大模型 API 的接口变更、模型开放、调用价格与服务故障消息。具体价格和可用性以原始公告为准。
A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library, specifically within the `normalize_numbers()` method of the `EnglishNormalizer` class. This vulnerability affects versions up to 4.52.4 and is
# PyTorch 2.8.0 Release Notes - [Highlights](#highlights) - [Backwards Incompatible Changes](#backwards-incompatible-changes) - [Deprecations](#deprecations) - [New Features](#new-features) - [Improvements](#improvements) - [Bug fixes](#bug-fixes) - [Performan
A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library, specifically within the DonutProcessor class's `token2json()` method. This vulnerability affects versions 4.51.3 and earlier, and is fixed in
A Regular Expression Denial of Service (ReDoS) vulnerability exists in the Hugging Face Transformers library, specifically in the `convert_tf_weight_name_to_pt_weight_name()` function. This function, responsible for converting TensorFlow weight names to PyTorc
This release is meant to fix the following issues (regressions / silent correctness): ### Torch.compile Fix Excessive cudagraph re-recording for HF LLM models ([#152287](https://github.com/pytorch/pytorch/pull/152287)) Fix torch.compile on some HuggingFace mod
## What's New ### `AzureAISearchTool` Improvements The Azure AI Search Tool API now features unified methods: - `create_full_text_search()` (supporting `"simple"`, `"full"`, and `"semantic"` query types) - `create_vector_search()` and - `create_hybrid_search()
来源标注日期：2024-12-26（未提供具体时刻）。 The deepseek-chat model has been upgraded to DeepSeek-V3. The API remains unchanged. You can invoke DeepSeek-V3 by specifying model='deepseek-chat'. For details, please refer to: introducing DeepSeek-V3
来源标注日期：2024-09-05（未提供具体时刻）。 The DeepSeek V2 Chat and DeepSeek Coder V2 models have been merged and upgraded into the new model, DeepSeek V2.5. For backward compatibility, API users can access the new model through either deepseek-coder or deepseek-chat. The ne
来源标注日期：2024-08-02（未提供具体时刻）。 The DeepSeek API has innovatively adopted hard disk caching, reducing prices by another order of magnitude. For more details on the update, please refer to the documentation Context Caching is Available 2024/08/02.
来源标注日期：2024-07-25（未提供具体时刻）。 Update API /chat/completions JSON Mode Function Calling Chat Prefix Completion（Beta） 8K max_tokens（Beta） New API /completions FIM Completion（Beta） For more details, please check the documentation New API Features 2024/07/25
来源标注日期：2024-05-17（未提供具体时刻）。 The deepseek-chat model has been upgraded to DeepSeek-V2-0517. The model has seen a significant improvement in following instructions, with the IFEval Benchmark Prompt-Level accuracy jumping from 63.9% to 77.6%. Additionally, on API
LangChain through 0.1.10 allows ../ directory traversal by an actor who is able to control the final part of the path parameter in a load_chain call. This bypasses the intended behavior of loading configurations only from the hwchase17/langchain-hub GitHub rep
