积分充值
 首页
前端开发
AngularDartElectronFlutterHTML/CSSJavaScriptReactSvelteTypeScriptVue.js构建工具
后端开发
.NetC#C++C语言DenoffmpegGoIdrisJavaJuliaKotlinLeanMakefilenimNode.jsPascalPHPPythonRISC-VRubyRustSwiftUML其它语言区块链开发测试微服务敏捷开发架构设计汇编语言
数据库
Apache DorisApache HBaseCassandraClickHouseFirebirdGreenplumMongoDBMySQLPieCloudDBPostgreSQLRedisSQLSQLiteTiDBVitess数据库中间件数据库工具数据库设计
系统运维
AndroidDevOpshttpdJenkinsLinuxPrometheusTraefikZabbix存储网络与安全
云计算&大数据
Apache APISIXApache FlinkApache KarafApache KyuubiApache OzonedaprDockerHadoopHarborIstioKubernetesOpenShiftPandasrancherRocketMQServerlessService MeshVirtualBoxVMWare云原生CNCF机器学习边缘计算
综合其他
BlenderGIMPKiCadKritaWeblate产品与服务人工智能亿图数据可视化版本控制笔试面试
文库资料
前端
AngularAnt DesignBabelBootstrapChart.jsCSS3EchartsElectronHighchartsHTML/CSSHTML5JavaScriptJerryScriptJestReactSassTypeScriptVue前端工具小程序
后端
.NETApacheC/C++C#CMakeCrystalDartDenoDjangoDubboErlangFastifyFlaskGinGoGoFrameGuzzleIrisJavaJuliaLispLLVMLuaMatplotlibMicronautnimNode.jsPerlPHPPythonQtRPCRubyRustR语言ScalaShellVlangwasmYewZephirZig算法
移动端
AndroidAPP工具FlutterFramework7HarmonyHippyIoniciOSkotlinNativeObject-CPWAReactSwiftuni-appWeex
数据库
ApacheArangoDBCassandraClickHouseCouchDBCrateDBDB2DocumentDBDorisDragonflyDBEdgeDBetcdFirebirdGaussDBGraphGreenPlumHStreamDBHugeGraphimmudbIndexedDBInfluxDBIoTDBKey-ValueKitDBLevelDBM3DBMatrixOneMilvusMongoDBMySQLNavicatNebulaNewSQLNoSQLOceanBaseOpenTSDBOracleOrientDBPostgreSQLPrestoDBQuestDBRedisRocksDBSequoiaDBServerSkytableSQLSQLiteTiDBTiKVTimescaleDBYugabyteDB关系型数据库数据库数据库ORM数据库中间件数据库工具时序数据库
云计算&大数据
ActiveMQAerakiAgentAlluxioAntreaApacheApache APISIXAPISIXBFEBitBookKeeperChaosChoerodonCiliumCloudStackConsulDaprDataEaseDC/OSDockerDrillDruidElasticJobElasticSearchEnvoyErdaFlinkFluentGrafanaHadoopHarborHelmHudiInLongKafkaKnativeKongKubeCubeKubeEdgeKubeflowKubeOperatorKubernetesKubeSphereKubeVelaKumaKylinLibcloudLinkerdLonghornMeiliSearchMeshNacosNATSOKDOpenOpenEBSOpenKruiseOpenPitrixOpenSearchOpenStackOpenTracingOzonePaddlePaddlePolicyPulsarPyTorchRainbondRancherRediSearchScikit-learnServerlessShardingSphereShenYuSparkStormSupersetXuperChainZadig云原生CNCF人工智能区块链数据挖掘机器学习深度学习算法工程边缘计算
UI&美工&设计
BlenderKritaSketchUI设计
网络&系统&运维
AnsibleApacheAWKCeleryCephCI/CDCurveDevOpsGoCDHAProxyIstioJenkinsJumpServerLinuxMacNginxOpenRestyPrometheusServertraefikTrafficUnixWindowsZabbixZipkin安全防护系统内核网络运维监控
综合其它
文章资讯
 上传文档  发布文章  登录账户
IT文库
  • 综合
  • 文档
  • 文章

无数据

分类

全部综合其他(6)人工智能(6)

语言

全部英语(4)kor(1)中文(简体)(1)

格式

全部PDF文档 PDF(6)
 
本次搜索耗时 0.017 秒,为您找到相关结果约 6 个.
  • 全部
  • 综合其他
  • 人工智能
  • 全部
  • 英语
  • kor
  • 中文(简体)
  • 全部
  • PDF文档 PDF
  • 默认排序
  • 最新排序
  • 页数排序
  • 大小排序
  • 全部时间
  • 最近一天
  • 最近一周
  • 最近一个月
  • 最近三个月
  • 最近半年
  • 最近一年
  • pdf文档 DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

    prompt-level loose accuracy as the metric. Moreover, we employ LiveCodeBench (Jain et al., 2024) questions from September 1st, 2023 to April 1st, 2024 to evaluate chat models. In addition to the standard the quality of SFT data is also crucial, especially for tasks involving writing or open-ended questions. Alignment Tax of Reinforcement Learning. During human preference alignment, we observe a significant Toutanova, L. Jones, M. Kelcey, M. Chang, A. M. Dai, J. Uszkoreit, Q. Le, and S. Petrov. Natural questions: a benchmark for question answering research. Trans. Assoc. Comput. Linguistics, 7:452–466, 2019
    0 码力 | 52 页 | 1.23 MB | 1 年前
    3
  • pdf文档 Trends Artificial Intelligence

    that can reason, act, and complete multi-step tasks on a user’s behalf. They don’t just answer questions – they execute: booking meetings, submitting reports, logging into tools, or orchestrating workflows raises real questions about monetization and profits. Training is expensive, serving is getting cheap, and pricing power is slipping. The business model is in flux. And there are new questions about the of those resources. This is driving new focus on expanding energy production capacity – and new questions about the grid’s ability to manage. Yet again, we see this as one of the perpetual ‘a-ha’s’ of
    0 码力 | 340 页 | 12.14 MB | 5 月前
    3
  • pdf文档 OpenAI - AI in the Enterprise

    financial services, Morgan Stanley is a relationship business. Not surprisingly, there were some questions across the business about how AI could add value to the highly personal and sensitive nature of determine creditworthiness faster and 
 more accurately. The Legal team Uses it to answer 40,000 questions a year on policies, compliance, and more. The Customer Service team Automates the sentiment analysis
    0 码力 | 25 页 | 9.48 MB | 5 月前
    3
  • pdf文档 OpenAI 《A practical guide to building agents》

    {{user_complaint_categories}}. Greet the user, thank them for being a loyal customer, and answer any questions the user may have! 15 A practical guide to building agents When to consider creating multiple print "Customer support agent", "You are a customer support agent. You help customers with their questions." # This should be ok 29 A practical guide to building agents 51 52 53 54 55 56 # This
    0 码力 | 34 页 | 7.00 MB | 6 月前
    3
  • pdf文档 OctoML OSS 2019 11 8

    members Thursday, December 5th Seattle WA Register Todayl! QQ octoML tvmconf.org 15 Q OctoML Questions? We are hiring see octoml.ai for more detailsl
    0 码力 | 16 页 | 1.77 MB | 5 月前
    3
  • pdf文档 清华大学 普通人如何抓住DeepSeek红利

    保存问题:将问题保存到CSV文件生成的真实答案问题.csv中。 要生成10万个存在真实答案的问题,并且基于2020年之前的 数据,可以使用现有的公开问答数据集(如SQuAD 、 Natural Questions等)来生成问题。可以从多个数据集中组 合问题,以达到10万个的问题数量。 这 些 数 据 集 包 含 大 量 的 问 答 对 , 例 如 使 用 d a t a s e t s 库 (Hugging
    0 码力 | 65 页 | 4.47 MB | 8 月前
    3
共 6 条
  • 1
前往
页
相关搜索词
DeepSeekV2StrongEconomicalandEfficientMixtureofExpertsLanguageModelTrendsArtificialIntelligenceOpenAIAIintheEnterprisepracticalguidetobuildingagentsOctoMLOSS201911清华华大大学清华大学普通通人普通人如何抓住红利
IT文库
关于我们 文库协议 联系我们 意见反馈 免责声明
本站文档数据由用户上传或本站整理自互联网,不以营利为目的,供所有人免费下载和学习使用。如侵犯您的权益,请联系我们进行删除。
IT文库 ©1024 - 2025 | 站点地图
Powered By MOREDOC AI v3.3.0-beta.70
  • 关注我们的公众号【刻舟求荐】,给您不一样的精彩
    关注我们的公众号【刻舟求荐】,给您不一样的精彩