In-depth interpretation of the CoT thinking chain technology in the large language model, introducing the prompt word engineering framework such as ToT, GoT, PoT. The article reveals that DeepSeek R1 improves its ability to solve complex problems by implementing the thinking chain, and elaborates on the relationship and classification composition of prompt words and thinking chains. Master the...

Want your AI assistant to understand you better? Google has released a guide to help! It explains the ingenious ideas and methods of the prompt word engineering, such as the principle of clear and specific instructions, the importance of repeated adjustments, etc. It also shares the key points of the prompt word framework, such as providing examples for AI to imitate and learn. Click to read...

Explore the new world of big language models! In-depth analysis of how to detect the AI ​​flavor of text, presenting you with a unique prompt word framework. The article details the key points and quantitative indicators of detection, and also shares practical tips on how to write prompt words. Help you easily deal with the analysis difficulties of AI-generated text. Click to read for details!

Explore the Chinese translation of Google's "Prompt Engineering" white paper and compare the pros and cons of DeepL and Immersive Translation. Detailed analysis of the performance of different translation methods in prompt engineering, presenting you with a high-quality large model knowledge base. Which translation effect is the best? Come and learn more and join the discussion!

Master the prompt word engineering and become an expert in driving large AI models! The Prompt Word Engineering Manual released by Google reveals the secrets for you. It introduces a variety of core technologies in detail, from basic zero-sample and few-sample, to setting identity and scene, to advanced improvement of model reasoning ability, making your prompt words more effective. Click to...

Stop talking at cross purposes with AI models! In-depth analysis of Google's internal "Guide to Prompt Words" reveals the secrets of prompt word engineering. Learn how to optimize the prompt word framework to make AI models accurately and efficiently output the results you want. Full of practical information to solve the pain points of poor communication with AI. Come and read it to unlock the...

"Google officially released the prompt engineering manual, which deeply analyzes the key points in the large model knowledge base. It covers the core techniques of the prompt word framework and the prompt word engineering framework, such as clarifying goals and providing context. It helps you quickly improve the quality of prompts and make model output more accurate. Click to read for details!"

In-depth analysis of the tool calling of the intelligent agent based on the large language model Function Calling, covering the detailed process and interactive messages. The article not only explains the technical principles of the large model, but also presents the process of hand-rolling Agent code implementation, and deeply analyzes the technical architecture of the large model. Help you...

Explore how to build a wonderful character in a large model knowledge base, and use the most boring instructions to ask her to play the most interesting person. The article elaborates on the unique method of knowledge graph construction, from defining the recognition object to building a structured graph, and then to language reorganization, presenting you with a complete process. Want to...

In-depth analysis of large language model development, focusing on the prompt word project from entry to mastery. This article covers the principles, processes, optimization ideas and practical cases, and elaborates on the prompt word framework design. Help you improve output quality, expand application scenarios, and reduce development costs. Click to read and start the exploration of large...