Python 1 2 3 4 5 6 7 8 8 10 11 12 from import def agents Agent, WebSearchTool, function_tool @function_tool save_results(output): db.insert({ : output, : datetime.time()}) return that lets agents operate until an exit condition is reached. Common exit conditions include tool calls, 
 a certain structured output, errors, or reaching a maximum number of turns. 14 A practical guide tool is invoked, defined by a specific output type 02 The model returns a response without any tool calls (e.g., a direct user message) Example usage: Python 1 Agents.run(agent, [UserMessage( )]) "What's

Incumbent AI Focus = Talking-the-Talk… Source: Uptrends, ‘Top 15 Companies Mentioning AI on Earnings Calls’ (6/24), company earnings transcripts Mentions of ‘AI’ in Corporate Earnings Transcripts – Q1:20-Q1:24 Source: Goldman Sachs Global Investment Research, ‘S&P Beige Book: 3 themes from 4Q 2024 conference calls: Tariffs, a stronger US dollar, and AI’ (2/25) Quarterly Earnings Call Mentions of ‘AI’ – S&P 500 Dynamics 365 Copilot, Azure OpenAI Services, and others. Detailed breakdowns not provided on earnings calls. Source: Microsoft Press Release, ‘Microsoft Cloud and AI strength drives second quarter results’

CPU FPGA CPU CPU FPGA Parallel Subgraphs© Copyright 2018 Xilinx Registering external accelerator function @reg.register_compute("accel", level=15) def compute_accel(attrs,inputs,outputs): op = 'accel' in inpt.shape] for inpt in inputs] out_shapes = [[int(i) for i in outputs[0].shape]] # EXTERNAL FUNCTION TO RUN THE FUSED OPERATION out = tvm.extern(outputs[0].shape, inputs, lambda ins, outs: tvm.call_packed('tvm "fuse_flatten", "num_inputs": "1", "num_outputs": "1" }, "inputs": [[1, 0, 0]] }, >> 11 Calls XDNN’s TVM registered function to access the FPGA runtime APIs© Copyright 2018 Xilinx Registering TVM op in Python

DeepSeekMoE in this section. For other tiny details (e.g., layer normalization and the activation function in FFNs), unless specifically stated, DeepSeek-V2 follows the settings of DeepSeek 67B (DeepSeek-AI (25) where ?1 is a hyper-parameter called expert-level balance factor; 1(·) denotes the indicator function; and ? denotes the number of tokens in a sequence. Device-Level Balance Loss. In addition to the example of MATH. 45 PROMPT You are an expert Python programmer, and here is your task: Write a function to find the similar elements from the given two tuple lists. Your code should pass these tests:

predicted token. The Gemini temperature control can be understood in a similar way to the softmax function used in machine learning. A low temperature setting mirrors a low softmax temperature (T), emphasizing print("Files renamed successfully.") ``` Output The code calls the `toUpperCase` function to convert `prefix` to uppercase, but that function is not defined. To fix this issue, you can use the `upper()`

Affiliates. All rights reserved. Support dynamic model in TVM ● Support Any-dim in typing ● Use shape function to compute the type at runtime ● Virtual machine as a new runtime for Relay ● Dynamic codegen fp32>© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Gradual typing: shape function ● Relax type inference/checking for Any at compilation time broadcast: fn(Tensor<(Any, Any), fp32> Affiliates. All rights reserved. Gradual typing: shape function ● Relax type inference/checking for Any at compilation time ● Register a shape function for operator to check the type and compute the output

Single unified module/pass, type system, with function variants supportCompilation Flow under the New Infra IRModule (relay::Function) IRModule (te::Function, ExternFunc, …) runtime::Module High-level High-level optimizations (Auto) Schedules
 Low-level optimizations Codegen Import LowerMixed Function Variants in the Same Module def @relay_add_one(%x : Tensor((10,), f32)) { call_destination_passing Compilers MLIR-TF Function relay::Function TorchScript IR Translation Custom Packaging runtime::Module ExternModule DSOModule Function in Other IR ExternFunc te::Function IRModule Custom

rights reserved. Graph Partitioning Use external functions to wrap annotated subgraphs extern function data weight1 weight3 weight2 output data weight1 weight3 weight2 output data weight1 weight3 the build logic Dispatch generated binary/library/engine in runtime ● Implement a runtime packed function© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Implement the Runtime n_name>.{h, cc} ● Overview extern function data weight1 weight3 weight2 output Relay runtime invokes your GetFunction() to execute the external function© 2019, Amazon Web Services, Inc. or its

cuUBLAS/VcuDNNVCUTL， Blade Kernel Lib S， ation 计算平台事业部 COMPUTING PLATFORM Weight Adjustment IHomogeneous 剂Function: f(cx) =cfGx) Conv/MatMu1l 计算平台事业部 COMPUTING PLATFORM /c Weight Adjustment

Fortune 50 home improvement company, to improve the accuracy and relevance of their ecommerce search function. With thousands of suppliers, Lowe’s often has to work with incomplete or inconsistent product