artificial intelligence technology evolution is indeed unprecedented, as supported by the data. This document is filled with user, usage and revenue charts that go up-and-to-the-right… often supported by spending competition – especially related to China and USA tech developments – is acute. The outline for our document is on the next page, followed by eleven charts that help illustrate observations that follow. it’s ‘game on,’ especially with the USA and China and the tech powerhouses charging ahead. In this document, we share data / research / benchmarks from third parties that use methodologies they deem to be

Working with Schemas 62 Experiment together with other prompt engineers 63 CoT Best practices 64 Document the various prompt attempts 64 Summary 66 Endnotes 68 Prompt Engineering February 2025 6 Introduction work, and the prompt development process is in the Best Practices section later in this chapter (“Document the various prompt attempts”). The model temperature should be set to a low number, since no combinations of instructions and constraints to find what works best for your specific tasks, and document these. Prompt Engineering February 2025 58 Control the max token length To control the length of

instructions for an LLM agent. Convert the following help center document into a clear set of instructions, written in a numbered list. The document will be a policy followed by an LLM. Ensure that there is no ambiguity, and that the instructions are written as directions for an agent. The help center document to convert is the following {{help_center_doc}}” 12 A practical guide to building agents Orchestration

compute layers from being fused. Reshape could be implemented as a non-copying view instead. We wantto add this form of view as a relay intrinsic to enable highly fused and optimized transformer models

(resize)© Copyright 2018 Xilinx FPGA Pipeline report in MLSuite 1.5 (animated gif of ResNet-50, view in slideshow mode) >> 14© Copyright 2018 Xilinx Quantization Tool – vai_q ˃ 4 commands in vai_q

81K 93K 104K 116K 128K Context Length (#Tokens) 0 9 18 27 36 45 55 64 73 82 91 100 Document Depth Percent (%) Pressure Testing DeepSeek-V2 Base 128K Context via "Needle In A HayStack" 1