DeepSeek-V2: A Strong, Economical, and Efficient
Mixture-of-Experts Language Model2.2.2 Device-Limited Routing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 2.2.3 Auxiliary Loss for Load Balance . . . . . . . . . . . . . . . . . . . . . . . . 10 2.2.4 Token-Dropping Strategy routing can achieve a good performance roughly aligned with the unrestricted top-K routing. 2.2.3. Auxiliary Loss for Load Balance We take the load balance into consideration for automatically learned routing will diminish computation efficiency. During the training of DeepSeek-V2, we design three kinds of auxiliary losses, for controlling expert-level load balance (LExpBal), device-level load balance (LDevBal)0 码力 | 52 页 | 1.23 MB | 1 年前3
OpenAI 《A practical guide to building agents》works like a checklist, flagging transactions based on preset criteria. In contrast, an LLM agent functions more like a seasoned investigator, evaluating context, considering subtle patterns, and identifying components: 01 Model The LLM powering the agent’s reasoning and decision-making 02 Tools External functions or APIs the agent can use to take action 03 Instructions Explicit guidelines and guardrails defining to trigger automated actions, such as pausing for guardrail checks before executing high-risk functions or escalating to a human if needed. 26 A practical guide to building agents Rules-based protections0 码力 | 34 页 | 7.00 MB | 6 月前3
Trends Artificial Intelligence
model with 70B parameters 5/24: Google introduces AI overviews to augment its search functions 9/24: Alibaba releases 100 open-source Qwen 2.5 models, with performance in line with but a convergence. Horizontal platforms will push breadth, stitching together knowledge across functions; specialists will push depth, delivering AI that speaks the language of compliance, contracts Azure AI Foundry expansion • NLWeb • Model Context Protocol (MCP) integration • Entra Agent ID • SQL Server 2025 • Windows Subsystem for Linux Open- Source • GitHub Copilot Chat Extension • Aurora0 码力 | 340 页 | 12.14 MB | 5 月前3
开源中国 2023 大模型(LLM)技术报告开发工具有: :帮助用户极致优化 给大模型的提示词(prompt),使得对大语 言模型提问时,可以获得更理想的输出。 :用于语义搜索、LLM 编排和语言模 型工作流的一体化嵌入数据库,可以使用 SQL、对象存储、主题建模、图形分析和多模 态索引进行矢量搜索。 :专注以 Sketch、PSD、静态 图片等形式的视觉稿作为输入,通过智能化技 术一键生成可维护的前端代码,包含视图代码、 数据字段绑定、组件代码、部分业务逻辑代码。0 码力 | 32 页 | 13.09 MB | 1 年前3
普通人学AI指南JetBrains AI AI 编程开发助手,集成在 JetBrains 系列开发工具中,提升编码效率。 9 Figure 6: AI 编程工具 2.4.3 AirOps 用于生成和修改 SQL 语句的工具,旨在简化数据库操作。 2.4.4 ChatDev 面壁智能开发的 AI 智能体开发平台,支持创建和部署智能对话系统。 2.4.5 solo Mozilla 开源项目,提供零代码网站开发功能,易于使用。0 码力 | 42 页 | 8.39 MB | 8 月前3
Bring Your Own Codegen to TVMcodegen ● Template path: python/tvm/relay/op/contrib//extern_op.py ● Boolean functions in the template def conv2d(attrs, args): return is_float32(args) Relay operator name Operator Implement extern operator functions, OR 2. Implement a graph annotator© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Graph Partitioning Use external functions to wrap annotated subgraphs General Devices (CPU/GPU/FPGA) Mark supported operators or subgraphs 1. Implement extern operator functions, OR 2. Implement a graph annotator Generate binary/library/engine for the subgraph ● Implement 0 码力 | 19 页 | 504.69 KB | 5 月前3
TVM@Alibaba AI LabsAl.Labs 阿里巴巴人工智能实验室 PowerVR support by TVM NNVM Compiler -Execution graph -Model layers functions Computation Graph Optimizations -Param TvM Tensor Operators &0 码力 | 12 页 | 1.94 MB | 5 月前3
共 7 条
- 1













