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Baidu Geek Talk
Baidu Geek Talk
Oct 23, 2024 · Artificial Intelligence

Integrating Yuan 2.0 Large Model with PaddleNLP: Overview, Usage Steps, and Interaction Examples

The open‑source Yuan 2.0 large model is fully integrated into Baidu’s PaddleNLP, offering quick inference for tasks like code generation, translation, and reasoning, along with efficient distributed training and fine‑tuning features such as Zero Padding optimization, enabling developers to easily deploy and customize the model via simple setup steps and example interactions.

AIJavaLLM
0 likes · 10 min read
Integrating Yuan 2.0 Large Model with PaddleNLP: Overview, Usage Steps, and Interaction Examples
Baidu Tech Salon
Baidu Tech Salon
Oct 17, 2024 · Artificial Intelligence

How to Deploy Yuan 2.0 LLM with PaddleNLP: A Step‑by‑Step Guide

This article explains how the open‑source Yuan 2.0 large language model is fully integrated with Baidu’s PaddleNLP, covering its capabilities, fine‑tuning optimizations, step‑by‑step deployment instructions, interaction examples, and training/finetuning results with loss‑curve visualizations.

AIDistributed TrainingFine-tuning
0 likes · 10 min read
How to Deploy Yuan 2.0 LLM with PaddleNLP: A Step‑by‑Step Guide
DataFunSummit
DataFunSummit
Feb 28, 2023 · Artificial Intelligence

Baidu Document Intelligence Technology Overview and Applications

This article presents a comprehensive overview of Baidu's document intelligence technologies—including the ERNIE‑Layout multimodal large model, the prompt‑based DocPrompt extraction system, layout and table understanding techniques, and PaddleNLP open‑source integration—detailing their architectures, challenges, solutions, performance benchmarks, and real‑world application cases across multiple industries.

DocPromptDocument IntelligenceERNIE-Layout
0 likes · 19 min read
Baidu Document Intelligence Technology Overview and Applications
DataFunSummit
DataFunSummit
Feb 26, 2023 · Artificial Intelligence

Design Philosophy and Industrial Practices of PaddleNLP

This article reviews the development trends of open‑source NLP products, explains PaddleNLP’s design principles—task‑centric, model‑centric, and solution‑centric—along with its modular, ecosystem‑driven, and production‑ready architecture, and showcases several industry case studies demonstrating its practical applications.

AI pipelinesIndustrial ApplicationsNLP
0 likes · 17 min read
Design Philosophy and Industrial Practices of PaddleNLP
Python Programming Learning Circle
Python Programming Learning Circle
Jun 8, 2022 · Artificial Intelligence

Leveraging PaddleNLP UIE for Zero‑Shot Logistic Parcel Information Extraction

This article explains how PaddleNLP's Universal Information Extraction (UIE) model can dramatically reduce labeling effort and improve accuracy for logistics parcel data extraction, showcasing a five‑sample experiment that boosts F1 by 18 points to 93% and providing a zero‑shot Python example.

Information ExtractionLogisticsNLP
0 likes · 5 min read
Leveraging PaddleNLP UIE for Zero‑Shot Logistic Parcel Information Extraction
DataFunTalk
DataFunTalk
May 19, 2022 · Artificial Intelligence

Open‑Domain Information Extraction with UIE: Code Samples, Model Details, and Performance Highlights

This article introduces PaddleNLP's UIE tool for open‑domain information extraction, explains its underlying UIE model and ERNIE 3.0 foundation, showcases concise Python code for entity and event extraction, and presents few‑shot and SOTA performance results across multiple IE benchmarks.

Few‑Shot LearningInformation ExtractionPaddleNLP
0 likes · 11 min read
Open‑Domain Information Extraction with UIE: Code Samples, Model Details, and Performance Highlights
DataFunTalk
DataFunTalk
Oct 12, 2021 · Artificial Intelligence

PaddleNLP v2.1 Release: Taskflow One‑Click NLP, Few‑Shot Learning Enhancements, and 28× Text Generation Acceleration

PaddleNLP v2.1 introduces an industrial‑grade Taskflow for eight NLP scenarios, a three‑line few‑shot learning paradigm that boosts small‑sample performance, and a FasterTransformer‑based inference engine that delivers up to 28‑fold speedup for text generation, all backed by extensive model and algorithm integrations.

Few‑Shot LearningNLPPaddleNLP
0 likes · 7 min read
PaddleNLP v2.1 Release: Taskflow One‑Click NLP, Few‑Shot Learning Enhancements, and 28× Text Generation Acceleration
Baidu Geek Talk
Baidu Geek Talk
Sep 13, 2021 · Artificial Intelligence

Upgrading WanFang Academic Paper Retrieval System with PaddleNLP

WanFang upgraded its academic paper retrieval system by adopting PaddleNLP’s Chinese pre‑trained Sentence‑BERT models, using weakly supervised SimCSE data and Milvus vector indexing, compressing the transformer for TensorRT‑accelerated inference, achieving 70% better matching quality and 2600 QPS latency‑optimized performance.

Model DeploymentPaddleNLPSentence-BERT
0 likes · 8 min read
Upgrading WanFang Academic Paper Retrieval System with PaddleNLP