prompts that are specific to that role. For example, you could prompt a teacher to create a lesson plan that they can then review. Have a look into Table 5, where the model takes the role of a travel guide and generates a plan of action. It then performs the actions in the plan and observes the results. The LLM then uses the observations to update its reasoning and generate a new plan of action. This process

Affiliates. All rights reserved. Amazon Trademark 1. AWS has most TVM contributors from industry. 2. We plan to build TVM team in China, based in Shanghai, Beijing and Shenzhen. 1. Applied Scientist and SDE

Kernel ALIOS TVM Alibaba Al.Labs 阿里巴巴人工智能实验室 7= 590一I) rm 一 下Er (mm) =肪+2mxaM0 [5 (全-2)+o| current plan 1 = int16 * int16 erflow-aware int16 = int8 xint8 ent pl 1=int8 int8 * int8 int32 = int16 1 +

optimistically until the math_homework_tripwire guardrail identifies a violation and raises an exception. Plan for human intervention Human intervention is a critical safeguard enabling you to improve an agent’s

75% Using / Testing AI Tools % of Survey Responses 0% 25% 50% 75% Plan on Start Testing Within 1-2 Years Fully Implemented Plan on Start Testing Within 12 Months Running Initial Tests / Experiments