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pace of change catalyzed by the internet was unprecedented. Consider now that AI user and usage trending is ramping materially faster…and the machines can outpace us. The pace and scope of change related illustrate observations that follow. We hope this compilation adds to the discussion of the breadth of change at play – technical / financial / social / physical / geopolitical. No doubt, people (and machines) technology builders who helped, directly or via your work, and are driving technology forward.• Seem Like Change Happening Faster Than Ever? Yes, It Is • AI User + Usage + CapEx Growth = Unprecedented • AI Model

1 − ?, 1 + ? � ?? � − ?D?? � ??||??? ? �� , (32) D?? � ??||??? ? � = ??? ? (??|?) ??(??|?) − log ??? ? (??|?) ??(??|?) − 1, (33) where ? and ? are hyper-parameters; and ?? is the advantage, computed when the temperature was 3°C. At night the outside temperature dropped to -2°C. This temperature change most likely caused the water to _ A. condense B. evaporate C. remain a liquid D. become a solid Answer: }.$$ Final Answer: The final answer is $-\frac{2}{3}$. I hope it is correct. Problem: Evaluate $\log_21$. Solution: Table 27 | An example of MATH. 45 PROMPT You are an expert Python programmer, and

prompting The above example shows an example of taking the role of a travel agent. When you would change the role to a teacher of geography, you would notice that you will receive a different response Confrontational, Descriptive, Direct, Formal, Humorous, Influential, Informal, Inspirational, Persuasive Let’s change our prompt in Table 6 to include a humorous and inspirational style. Prompt I want you to act as the folder exists if [ ! -d "$folder_name" ]; then echo "Folder does not exist." exit 1 fi # Get the list of files in the folder files=( "$folder_name"/* ) # Rename each file by prepending "draft" to the

whether that's resolving a customer service issue, booking a restaurant reservation, committing a code change, 
 or generating a report. Applications that integrate LLMs but don’t use them to control workflow 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 Runner.run(customer_support_agent, "Hello!") ("Hello message passed") [None] input: str list await input return async def await print "Customer support agent", "You are a customer support

platform: Intel/arm CPU, Nividia/arm GPU, VTA…5 �������������� 1. Get a .log file from the autotvm on Ubuntu 2. Use the .log from step1 on Windows to generate the .dll for deployment 3. For application options if options else [ “-shared”, “-fPIC”, “-m32”] b. python tensorflow_blur.py to get the .log c. Use the .log, with target=“llvm –mcpu=i686 –mtriple=i686-linux-gnu” then TVM_NDK_CC=“clang –m32” python

exp_dispatcher) vmc = relay.backend.vm.VMCompiler() with tvm.autotvm.apply_graph_best("resnet50_v1_graph_opt.log"): vm = vmc.compile(mod, "llvm") vm.init(ctx) vm.load_params(params)

models produce. Rigorous evals lead to more stable, reliable applications that are resilient to change. 
 Evals are built around tasks that measure 
 the quality of the output of a model against 
 a benchmark—is

用的相关性热图等，每张图都有详细的解释。 其他常用英文指令 Prompts（指令） 描述 Prompts（指令） 描述 Can you load and preview the data? 加载，预览一下数据 Can you list the top 10 key points? 最重要的十个要点 What are the trends shown in this data? 找趋势 Can you describe the this dataset in one paragraph? 用一段话来解释一下这个数据集 What insights do you see here? Give me a numbered list. 提供一些见解 Can you explain this dataset in simple terms? 用简单的话来解释一下这个数据集 其他常用中文指令 Prompts（指令） 跨

into Arm NN? ● CI and benchmark testing for TVM on member hardware platforms ○ Shall we maintain a list of Arm platforms supported by TVM? More details from our members at the coming TVM Conference 2019