JSON

Introduction to NLP: Rule-Based Chinese Composite Event Extraction with Python Source Code

by
Introduction to NLP: Rule-Based Chinese Composite Event Extraction with Python Source Code

Author/IT Duck Image/IT Duck, Internet Introduction What is a composite event? Composite events include conditional events, causal events, sequential events, and inverted events. Many real NLP projects require the extraction of composite events, such as event extraction in knowledge graphs to form event-relationship graphs; event extraction in intelligent chat dialogues to identify user intentions. As … Read more

Empowering Questionnaire Generation with Wenxin Yiyan

by
Empowering Questionnaire Generation with Wenxin Yiyan

Currently, various large language models (LLM) are experiencing explosive development, and applications based on LLM are continuously emerging.However, when developers create downstream applications based on LLM, the results generated directly by LLM have many uncertainties in terms of format and content, making it difficult to interact with other business logic code, leading developers to generate … Read more

RestGPT Framework: Controlling Real-World Applications via RESTful APIs

by
RestGPT Framework: Controlling Real-World Applications via RESTful APIs

©PaperWeekly Original · Author | Yifan Song Affiliation | PhD Student, Institute of Computational Linguistics, Peking University Research Area | Natural Language Processing Paper Title: RestGPT: Connecting Large Language Models with Real-World RESTful APIs Paper Link: https://arxiv.org/abs/2306.06624 Code Link: https://github.com/Yifan-Song793/RestGPT Research Background Large language models (LLMs) such as ChatGPT and GPT-4 have demonstrated many powerful … Read more

Cohere RAG Vectorization Tool: Compass Unlocks Multidimensional Email Invoice Log Retrieval

by
Cohere RAG Vectorization Tool: Compass Unlocks Multidimensional Email Invoice Log Retrieval

In today’s business landscape, corporate data exhibits high diversity and complexity. Emails, invoices, resumes, support tickets, log messages, and tabular data all contain intricate conceptual relationships and contextual information. However, traditional single-vector embedding models struggle to capture and understand this complex multidimensional data structure, posing significant challenges for data retrieval and mining. The Current State … Read more

Optimizing Token Usage with Prompt Adjustment

by
Optimizing Token Usage with Prompt Adjustment

In the previous article, I introduced how to deploy large models locally on Mac computers. By customizing prompts, various needs such as domain extraction can be achieved. However, in reality,<span><span> deploying large models locally</span></span> is not very friendly for individual developers. On one hand, it requires a significant investment to ensure that the hardware has … Read more