classification tasks, mix up the classes 59 Adapt to model updates 60 Experiment with output formats 60 JSON Repair 61 Working with Schemas 62 Experiment together with other prompt engineers 63 CoT Best practices response. Goal Parse pizza orders to JSON Model gemini-pro Temperature 0.1 Token Limit 250 Top-K N/A Top-P 1 Prompt Parse a customer's pizza order into valid JSON: EXAMPLE: I want a small pizza with cheese cheese, tomato sauce, and pepperoni. JSON Response: ``` { "size": "small", "type": "normal", "ingredients": [["cheese", "tomato sauce", "peperoni"]] } ``` Continues next page... Prompt Engineering February

USER 假设诸葛亮死后在地府遇到了刘备，请模拟两个人展开一段对话。 5. 结构化输出 ：将内容转化为 Json，来方便后续程序处理 SYSTEM 用户将提供给你一段新闻内容，请你分析新闻内容，并提取其中的关键信息，以 JSON 的形式输出，输出的 JSON 需遵守以下的格式： { "entiry": <新闻实体>, "time": < 新闻时间，格式为 YYYY-mm-dd

and run apps/vta_rpc/start_rpc_server.sh Step 8: Configure vta/config/de10nano_config.json to vta_config.json Step 9: Go to vta/hardware/intel and run make command Step 10: Get the generated .sof file

weight2 output Build() Your graph representation (e.g., JSON, C++, etc) CompileExternalLib() Subgraph binary/library/engine (e.g., so, JSON, etc)© 2019, Amazon Web Services, Inc. or its Affiliates

rights reserved. Amazon Trademark Deploy GluonCV Models GluonCV Models MXNet Computational Graph Json Acyclic Graph Export As-is Optimize with TVM© 2019, Amazon Web Services, Inc. or its Affiliates.

Hexagon DSsP AiOS 1驱动万物智能 Alios TVM @ Hexagon DSP 人NiOS ! 驱动万物知 Tensorflow deploy.so / deploy.json / deploy.bin | NNVM / Relay 让 Graph Optimization 站 站 Compile | libtvm_hexagon_runtime.so

空间。未来，随着技术的不断进步和创新，DeepSeek R1 可能会在以下几个方面实现进一步的突破： 通用能力提升 解决语言混杂问题 目前，DeepSeek R1在函数调用、多轮 对话、复杂角色扮演和 JSON 输出等任 务中的能力不及 DeepSeek-V3。未来， DeepSeek计划探索如何利用长推理链 来增强在这些任务的表现。 优化提示工程 目前模型对提示较为敏感，少样本提示会持续降