million的网页、大小40GB的文本。 图：GPT-2通过调整原模型和采用多任务方式来让AI更贴近“通才” 水平 GPT的发展 37 资料来源：《 Language Models are Few-Shot Learners》论文 • 预训练加微调范式中，可能在这种范式下实现的 泛化可能很差，因为该模型过于特定于训练分布， 并且在其之外无法很好地泛化。 • 微调模型在特定基准上的性能，即使名义上是人 现了强大性能 ✓ GPT-3是一个具有1750亿个参数的自回归语言模型，比之前的任何非稀疏语言模型多10倍。对于所有任务（在few-shot设置下测试其 性能），GPT-3都是在没有任何梯度更新或微调的情况下应用的，仅通过与模型的文本交互来指定任务和few-shot演示。 ✓ GPT-3在许多NLP数据集上都有很强的性能（包括翻译、问题解答和完形填空任务），以及一些需要动态推理或领域适应的任务（如解 GPT-3可以生成新闻文章样本（已很难将其与人类撰写的文章区分开来）。 图：GPT-3相关研究显示，few-shot(少量样本）的综 合表现是在无监督模式下最优的 图：GPT-3的模型参数在GPT-2的基础上增加110多倍 资料来源：《 Language Models are Few-Shot Learners》 GPT的发展 39 资料来源：《Training language models

Saliency-Aware Topic Modeling.” AAAI (2021). [55] Brown, Tom B. et al. “Language Models are Few-Shot Learners.” ArXiv abs/2005.14165 (2020): n. pag. [56] Radford, Alec, Jeff Wu, Rewon Child, David that matters: Small language models are also few-shot learners.” arXiv preprint arXiv:2009.07118 (2020). [11] Wang, Sinong, et al. “Entailment as few-shot learner.” arXiv preprint arXiv:2104.14690 (2021)

机器人(Robotics) 在真实环境中，机器人的控制也取得了一定的进展。如 UC Berkeley 实验室在机器人领域的 Imitation Learning、Meta Learning、Few-shot Learning 等方向上取得 了不少进展。美国波士顿动力公司在机器人应用中取得喜人的成就，其制造的机器人在复 杂地形行走、多智能体协作等任务上表现良好(图 1.19)。 自动驾驶(Autonomous

per command. As main() clears env.host_string between commands, this decorator will also end up prompting the user once per command (in the case where multiple commands have no hosts set, of course.) fabric the user hits Ctrl- C). 注解 prompt honors env.abort_on_prompts and will call abort instead of prompting if that flag is set to True. If you want to block on user input regardless, try wrapping with settings

per command. As main() clears env.host_string between commands, this decorator will also end up prompting the user once per command (in the case where multiple commands have no hosts set, of course.) fabric the user hits Ctrl- C). 注解 prompt honors env.abort_on_prompts and will call abort instead of prompting if that flag is set to True. If you want to block on user input regardless, try wrapping with settings

networks and tree search." nature 529.7587 (2016): 484-489. 【4】 Wei, Jason, et al. "Chain-of-thought prompting elicits reasoning in large language models." Advances in neural information processing systems 35 i-in-the-enterprise/ 根据 Menlo Ventures 发布的市场调研报告显示，RAG 以 51%的市场份额在企业市场份额 中占据绝对优势，Fine-tune 和 Prompting 工程均下降两倍多。Agent 今年属于纯增长，目前情 况还不错，但在企业应用领域，多 Agents 的编排依然存在理解能力不足和生成幻觉等问题有待 提高。 如果去预测明年的企业级市场趋

另一种路径：DeepSeek R1 作为智能体 ü 角色 ü 功能 ü 技能 ü 约束 ü 工作流程 ü 输出格式 "全维度智能体提示框架" (Comprehensive Agent Prompting Framework, CAP Framework) 核心层: 1.身份定义 (Identity) •角色属性 •专业背景 •交互特征 执行层: 2. 能力矩阵 (Capability

-TDBTYPE ] Options -b Use batch mode; i.e., get the password from the command line rather than prompting for it. This option should be used with extreme care, since the password is clearly visible on the password Options -b Use batch mode; i.e., get the password from the command line rather than prompting for it. This option should be used with extreme care, since the password is clearly visible on the can be used to password restrict an area, but to let clients from particular addresses in without prompting for a password. For example, if you wanted to let people on your network have unrestricted access

-TDBTYPE ] Options -b Use batch mode; i.e., get the password from the command line rather than prompting for it. This option should be used with extreme care, since the password is clearly visible on the password Options -b Use batch mode; i.e., get the password from the command line rather than prompting for it. This option should be used with extreme care, since the password is clearly visible on the can be used to password restrict an area, but to let clients from particular addresses in without prompting for a password. For example, if you wanted to let people on your network have unrestricted access

-TDBTYPE ] Options -b Use batch mode; i.e., get the password from the command line rather than prompting for it. This option should be used with extreme care, since the password is clearly visible on the password Options -b Use batch mode; i.e., get the password from the command line rather than prompting for it. This option should be used with extreme care, since the password is clearly visible on the can be used to password restrict an area, but to let clients from particular addresses in without prompting for a password. For example, if you wanted to let people on your network have unrestricted access