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 manager_agent,msg) message orchestrator_output.new_messages: (f" - {message.content}") async def for in print "Translate 'hello' to Spanish, French and Italian for me!" Translation step: Declarative

codegen ● 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

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 platforms. In 2025, Chinese state media highlighted the integration of AI into non-combat support functions (e.g., military hospitals), while the Ministry of Science and Technology reinforced its commitment

Al.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 &