HW Platforms ZCU102 ZCU104 Ultra96 PYNQ Face detection Pose estimation Video analytics Lane detection Object detection Segmentation Models© Copyright AccelModule:© Copyright 2018 Xilinx TVM Partitioning >> 7 Subgraph 1 Parallel Subgraphs Post-Processing Pre-Processing FPGA or CPU FPGA CPU CPU FPGA - More than supported/not supported, pattern matching graph Parallel Subgraphs Post-Processing Pre-Processing CPU FPGA CPU CPU FPGA© Copyright 2018 Xilinx TVM Code Generation >> 9 Subgraph 1 Parallel Subgraphs Post-Processing Pre-Processing CPU FPGA CPU CPU FPGA

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 Ecosystem Tells Over Four Years = >100% Growth in Developers / Startups / Apps Note: GPU = Graphics Processing Unit. Source: NVIDIA (2021 & 2025) NVIDIA Computing Ecosystem – 2021-2025, per NVIDIA 2.5MM

our product data. We knew we had a winner on our hands! Nishant Gupta Senior Director, Data, Analytics and Computational Intelligence Product Note: OpenAI has launched Vision Fine-Tuning to further

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


 extracting meaning from documents, or interacting with 
 users conversationally, for example processing a home insurance claim. Before committing to building an agent, validate that your use case can Agent" "You assist clients with inquiries regarding order tracking, delivery schedules, and processing returns or refunds." 22 A practical guide to building agents 26 27 28 29 30 31 32 33

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

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