Models Led To… *A FLOP (floating point operation) is a basic unit of computation used to measure processing power, representing a single arithmetic calculation involving decimal numbers. In AI, total FLOPs on some reasoning tests 3/23: OpenAI releases GPT-4, a multimodal* model capable of processing both text & images 3/23: Google releases Bard, its ChatGPT competitor 11/23: 28 countries carried out in 3/25 using GPT-4.5. During the test, participants incorrectly identified the left image (Witness A) as human with 87% certainty, saying ‘A had human vibes. B had human imitation vibes

degree of independence. Agents are systems that independently accomplish tasks on your behalf. A workflow is a sequence of steps that must be executed to meet the user’s goal, whether that's resolving change, 
 or generating a report. Applications that integrate LLMs but don’t use them to control workflow execution—think simple chatbots, single-turn LLMs, or sentiment classifiers—are not agents. More consistently on behalf of a user: 01 It leverages an LLM to manage workflow execution and make decisions. It recognizes when a workflow is complete and can proactively correct its actions if needed. In

Overlay Processor ˃ DNN Specific Instruction Set Convolution, Max Pool etc. ˃ Any Network, Any Image Size ˃ High Frequency & High Compute Efficiency ˃ Supported on U200 – 3 Instances U250 – 4 Instances Systolic Array Bias ReLU Bias ReLU Bias ReLU Bias ReLU Pooling Pooling Pooling Pooling Image Queue Instruction Buffer Cross Bar Pooling/ EWA© Copyright 2018 Xilinx Xilinx Edge DPU IP (DPUv2) networks >> 4© Copyright 2018 Xilinx Inference Flow >> 5 MxNet CPU Layers FPGA Layers Runtime Image Model Weights Calibration Set Quantizer Compiler Tensor Graph Optimization Framework Tensor Graph

language model input and output, a text prompt (sometimes accompanied by other modalities such as image prompts) is the input the model uses to predict a specific output. You don’t need to be a data scientist prompt’s writing style and structure in relation to the task. In the context of natural language processing and LLMs, a prompt is an input provided to the model to generate a response or prediction. Prompt use in applications, requires significantly more tokens than plain text, leading to increased processing time and higher costs. Furthermore, JSON's verbosity can easily consume the entire output window

and safety guardrails. The companies seeing success aren’t rushing to inject AI models into every workflow. They’re aligning around high-return, low-effort use cases, learning as they iterate, then taking

Pre-Training 3.1. Experimental Setups 3.1.1. Data Construction While maintaining the same data processing stages as for DeepSeek 67B (DeepSeek-AI, 2024), we extend the amount of data and elevate the data order to alleviate the alignment tax, during the RL stage, we make significant efforts in data processing and improving training strategies, finally achieving a tolerable trade-off between the performance the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pages 5883–5889, Hong Kong, China, Nov. 2019

码、运行时、系统工具、系统库和设置。 2. 镜像（Image）：用于创建容器的只读模板。一个镜像可以包含完整的操作 系统环境。 3. Dockerfile：定义镜像内容的文本文件，包含了构建镜像的所有指令。 4. Docker Hub：公共的 Docker 镜像仓库，用于存储和分发 Docker 镜像。 5. 拉取镜像：docker pull <image_name> 6. 构建镜像：在包含 Dockerfile Dockerfile 目录中运行：docker build -t <image_name> . 常用命令： 1. 列出正在运行的容器：docker ps 2. 列出所有容器：docker ps -a 3. 停止一个容器：docker stop 4. 删除一个容器：docker rm 20 4.2.2 下载 docker docker

requires 40us sampling net runtime - First PyTorch model used a 3,400us sampling net runtime Image from LPCNetExit, Pursued By A Bear - 3400us (baseline), 40us (target) - 85x speedup - Uh ohEnter general technique, allows clean vectorization - Related work in Gibiansky (2017), Gray (2019), et al. Image from OpenAI- Add relay.nn.sparse_dense for block-sparse matrix multiplication (~50 lines of TVM IR)

SDCard Image from Terasic (Require Registration) Step 3: Get files from https://github.com/liangfu/de10-nano-supplement Step 4: Extract the files Step 4.1: Replace the zImage in SDCard Image Step 4

Blocking Splits the workload into thread blocks (work groups) and individual threads (work items) Processing Element batch 二 (workitem) 2