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算力与芯片AMD ROCm 发布官方来源

AMD ROCm 发布: ROCm 7.9.0 Preview Release

# ROCm Core SDK 7.9.0 release notes ROCm Core SDK 7.9.0 introduces a technology preview release aimed at helping developers explore the new ROCm build and release infrastructure system called [TheRock](https://github.com/rocm/therock). See [ROCm Core SDK and T

Agent 与开发工具PyTorch 发布官方来源

PyTorch 发布: 2.9 Release Notes

# PyTorch 2.9.0 Release Notes - [Highlights](#highlights) - [Backwards Incompatible Changes](#backwards-incompatible-changes) - [Deprecations](#deprecations) - [New Features](#new-features) - [Improvements](#improvements) - [Bug fixes](#bug-fixes) - [Performan

算力与芯片AMD ROCm 发布官方来源

AMD ROCm 发布: ROCm 7.0.2 Release

# ROCm 7.0.2 release notes The release notes provide a summary of notable changes since the previous ROCm release. - [Release highlights](#release-highlights) - [Supported hardware, operating system, and virtualization changes](#supported-hardware-operating-sy

Agent 与开发工具Microsoft AutoGen 发布官方来源

Microsoft AutoGen 发布: python-v0.7.5

## What's Changed * Fix docs dotnet core typo by @lach-g in https://github.com/microsoft/autogen/pull/6950 * Fix loading streaming Bedrock response with tool usage with empty argument by @pawel-dabro in https://github.com/microsoft/autogen/pull/6979 * Support

模型动态DeepSeek 官方更新日志官方来源

DeepSeek-V3.2-Exp​

来源标注日期:2025-09-29(未提供具体时刻)。 Both deepseek-chat and deepseek-reasoner have been upgraded to DeepSeek-V3.2-Exp. deepseek-chat corresponds to DeepSeek-V3.2-Exp's non-thinking mode deepseek-reasoner corresponds to DeepSeek-V3.2-Exp's thinking mode For more details

漏洞与安全Transformers 安全公告社区 / 第三方

CVE-2025-6921: Hugging Face Transformers vulnerable to Regular Expression Denial of Service (ReDoS) in the AdamWeightDecay optimizer

The huggingface/transformers library, versions prior to 4.53.0, is vulnerable to Regular Expression Denial of Service (ReDoS) in the AdamWeightDecay optimizer. The vulnerability arises from the _do_use_weight_decay method, which processes user-controlled regul

模型动态DeepSeek 官方更新日志官方来源

DeepSeek-V3.1-Terminus​

来源标注日期:2025-09-22(未提供具体时刻)。 Both deepseek-chat and deepseek-reasoner have been upgraded to DeepSeek-V3.1-Terminus. deepseek-chat corresponds to DeepSeek-V3.1-Terminus's non-thinking mode, while deepseek-reasoner corresponds to its thinking mode. This update ma

模型动态DeepSeek 官方更新日志官方来源

DeepSeek-V3.1​

来源标注日期:2025-08-21(未提供具体时刻)。 Both deepseek-chat and deepseek-reasoner have been upgraded to DeepSeek-V3.1. deepseek-chat corresponds to DeepSeek-V3.1's non-thinking mode, while deepseek-reasoner corresponds to its thinking mode. Key updates in DeepSeek-V3.1: Hy

Agent 与开发工具Microsoft AutoGen 发布官方来源

Microsoft AutoGen 发布: python-v0.7.4

## What's Changed * Update docs for 0.7.3 by @ekzhu in https://github.com/microsoft/autogen/pull/6948 * Update readme with agent-as-tool by @ekzhu in https://github.com/microsoft/autogen/pull/6949 * Fix Redis Deserialization Error by @BenConstable9 in https://

Agent 与开发工具Microsoft AutoGen 发布官方来源

Microsoft AutoGen 发布: python-v0.7.3

## What's Changed * Update website for 0.7.2 by @ekzhu in https://github.com/microsoft/autogen/pull/6902 * Typo in docs for 'NoOpTracerProvider' by @nicsuzor in https://github.com/microsoft/autogen/pull/6915 * Fix MCP example in readme by @ekzhu in https://git

Agent 与开发工具PyTorch 发布官方来源

PyTorch 发布: PyTorch 2.8.0 Release

# 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

Agent 与开发工具Microsoft AutoGen 发布官方来源

Microsoft AutoGen 发布: python-v0.7.2

## What's Changed * Update website 0.7.1 by @ekzhu in https://github.com/microsoft/autogen/pull/6869 * Update OpenAIAssistantAgent doc by @ekzhu in https://github.com/microsoft/autogen/pull/6870 * Update 0.7.1 website ref by @ekzhu in https://github.com/micros

算力与芯片Triton 编译器发布官方来源

Triton 编译器发布: Triton 3.4.0 Release

## Highlights ### Gluon Framework Comprehensive Enhancement The Gluon framework has received major enhancements across all areas including new APIs, tensor memory management, layout operations, and synchronization primitives. Key additions include `static_asse

Agent 与开发工具Microsoft AutoGen 发布官方来源

Microsoft AutoGen 发布: python-v0.7.1

## What's New ### `OpenAIAgent` supports all built-in tools * Feat/OpenAI agent builtin tools 6657 by @tejas-dharani in https://github.com/microsoft/autogen/pull/6671 ### Support nested `Team` as a participant in a `Team` * Supporting Teams as Participants in

模型动态MiniMax 模型仓库(镜像)社区 / 第三方

MiniMaxAI/MiniMax-M1-40k-hf · 仓库更新

模型仓库动态。仓库创建:2025-07-01T16:56:51.000Z。最后修改:2025-07-11T02:07:58.000Z。仓库修改不等同于模型正式发布。 数据经第三方 Hugging Face 镜像采集,需以原始模型页面复核。 任务:text-generation。

Agent 与开发工具Microsoft AutoGen 发布官方来源

Microsoft AutoGen 发布: python-v0.6.4

# What's New More helps from @copilot-swe-agent for this release. ### Improvements to `GraphFlow` Now it behaves the same way as `RoundRobinGroupChat`, `SelectorGroupChat` and others after termination condition hits -- it retains its execution state and can be

模型动态MiniMax 模型仓库(镜像)社区 / 第三方

MiniMaxAI/MiniMax-Text-01-hf · 仓库更新

模型仓库动态。仓库创建:2025-06-03T09:38:42.000Z。最后修改:2025-07-09T07:38:12.000Z。仓库修改不等同于模型正式发布。 数据经第三方 Hugging Face 镜像采集,需以原始模型页面复核。 任务:text-generation。

模型动态MiniMax 模型仓库(镜像)社区 / 第三方

MiniMaxAI/MiniMax-M1-80k-hf · 仓库更新

模型仓库动态。仓库创建:2025-07-01T16:52:58.000Z。最后修改:2025-07-09T07:37:23.000Z。仓库修改不等同于模型正式发布。 数据经第三方 Hugging Face 镜像采集,需以原始模型页面复核。 任务:text-generation。

模型动态MiniMax 模型仓库(镜像)社区 / 第三方

MiniMaxAI/MiniMax-M1-80k · 仓库更新

模型仓库动态。仓库创建:2025-06-13T08:21:14.000Z。最后修改:2025-07-07T07:51:42.000Z。仓库修改不等同于模型正式发布。 数据经第三方 Hugging Face 镜像采集,需以原始模型页面复核。 任务:text-generation。

Agent 与开发工具Microsoft AutoGen 发布官方来源

Microsoft AutoGen 发布: python-v0.6.2

## What's New ### Streaming Tools This release introduces streaming tools and updates `AgentTool` and `TeamTool` to support `run_json_stream`. The new interface exposes the inner events of tools when calling `run_stream` of agents and teams. `AssistantAgent` i

模型动态Meta Llama 模型仓库(镜像)社区 / 第三方

meta-llama/Meta-Llama-3-8B-Instruct · 仓库更新

模型仓库动态。仓库创建:2024-04-17T09:35:12.000Z。最后修改:2025-06-18T23:49:51.000Z。仓库修改不等同于模型正式发布。 数据经第三方 Hugging Face 镜像采集,需以原始模型页面复核。 任务:text-generation。

模型动态Meta Llama 模型仓库(镜像)社区 / 第三方

meta-llama/Meta-Llama-3-70B-Instruct · 仓库更新

模型仓库动态。仓库创建:2024-04-17T09:34:54.000Z。最后修改:2025-06-18T23:49:26.000Z。仓库修改不等同于模型正式发布。 数据经第三方 Hugging Face 镜像采集,需以原始模型页面复核。 任务:text-generation。

Agent 与开发工具Microsoft AutoGen 发布官方来源

Microsoft AutoGen 发布: python-v0.6.1

## Bug Fixes * Fix bug in GraphFlow cycle check by @ekzhu in https://github.com/microsoft/autogen/pull/6629 * Fix graph validation logic and add tests by @ekzhu in https://github.com/microsoft/autogen/pull/6630 ## Others * Add list of function calls and result

Agent 与开发工具Microsoft AutoGen 发布官方来源

Microsoft AutoGen 发布: python-v0.6.0

## What's New ### Change to `BaseGroupChatManager.select_speaker` and support for concurrent agents in `GraphFlow` We made a type hint change to the `select_speaker` method of `BaseGroupChatManager` to allow for a list of agent names as a return value. This ma

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