The five major IO models in Linux and the three IO models in Java IO model background 1. Kernel state, user state 2. The general process of the application receiving data from the network 3. Synchronous/asynchronous, blocking/non-blocking Five major Linux IO models Blocking IO Non-blocking IO Multiplexed IO Signal driven IO Asynchronous IO Three IO […]
Tag: model
The 2.5k ChatGPT-Java version SDK upgrade 1.1.2-beta0 supports GPT-4V, Dall-e-3 model, ToolCalls, fine-tuning Job, TTS…
1. Project Introduction Chatgpt-Java is the Java SDK of OpenAI’s official API, which can be quickly accessed for use in projects. Supports all official OpenAI interfaces. The current harvest will be 2500 + star. Open source address: https://github.com/Grt1228/chatgpt-java Official documentation: https://chatgpt-java.unfbx.com/ Latest version: 1.1.2-beta0 <dependency> <groupId>com.unfbx</groupId> <artifactId>chatgpt-java</artifactId> <version>1.1.2-beta0</version> </dependency> Currently supported features: Dall-e-3 FineTuneJob TTS […]
Pytroch implements minister handwritten digit recognition (full link model)
This article is a learning record blog in the 365-day deep learning training camp Original author: Classmate K | Receive tutoring and project customization Article directory Preface 1. Code and running results 1. Import the library 2.Dataset 3. Data loading 4. Build the model 5.Train the model 2. Summary Foreword I hope that I can […]
Customization of HuggingFace model header
Recommended online tools: Three.js AI Texture Development Kit – YOLO synthetic data generator – GLTF/GLB online editing – 3D model format online conversion – Programmable 3D scene editor In this article we’ll cover how to adapt HuggingFace’s model to your task, build a custom model header in Pytorch and connect it to the body of […]
n-gram language model – text generation source code
n-gram language model – text generation source code Basic principles of n-gram model Steps of text generation 1. Preparation and word segmentation 2. Build n-gram model 3. Application of smoothing technology 4. Generate text Source code In the field of natural language processing, the n-gram language model is a basic and powerful tool. It is […]
OpenMMlab exports the yolov3 model and uses onnxruntime and tensorrt for inference
Export onnx file Use script directly import torch from mmdet.apis import init_detector, inference_detector config_file = ‘./configs/yolo/yolov3_mobilenetv2_8xb24-ms-416-300e_coco.py’ checkpoint_file = ‘yolov3_mobilenetv2_mstrain-416_300e_coco_20210718_010823-f68a07b3.pth’ model = init_detector(config_file, checkpoint_file, device=’cpu’) # or device=’cuda:0′ torch.onnx.export(model, (torch.zeros(1, 3, 416, 416),), “yolov3.onnx”, opset_version=11) The exported onnx structure is as follows: The output is the output of three different levels of detection heads. If you […]
Digital modeling experience-data processing-pandas
Digital analog experience-data processing-pandas Detailed explanation of the code: will be added next time import pandas as pd import numpy as np # # Set panda display function # pd.set_option(‘display.max_columns’, 10) # pd.set_option(‘display.max_rows’, 100) # pd.set_option(‘display.width’, 100) Series basic operations obj=pd.Series([4,7,-5,3]) obj 0 4 1 7 2-5 3 3 dtype: int64 obj.values array([ 4, 7, […]
Generative AI – Knowledge Graph Prompting: A multi-document question answering method based on large models
Large language models (LLMs) have revolutionized natural language processing (NLP) tasks. They change the way we interact with and process text data. These powerful AI models, such as OpenAI’s GPT-4, have changed the way human-like text is understood and generated, leading to numerous breakthrough applications across a variety of industries. LangChain is an open source […]
Teach you step by step how to implement the producer-consumer model
?Yin’s Blog | Yin’s Blog (yinkai.cc), welcome to my blog to read. This article will introduce you to the definition, characteristics, and processes of the producer-consumer model, and take you step by step to implement the producer-consumer model. 1. Introduction The producer-consumer pattern is a concurrency design pattern used to solve the collaboration and data […]
CNN model training–Code practice for verification code identification
Tip: After the article is written, the table of contents can be automatically generated. For how to generate it, please refer to the help document on the right. Article directory Summary Abstract CNN model training–Verification code identification 1. Code practice 2. Clarify training needs 3. Collect training data 4. CNN network architecture 5. Model training […]