Talking about AI, reliable, blue text seeking attention Kimi, the large model, has become popular and can be considered a source of pride for domestic large models. Today, I will share advanced techniques for using Kimi, fully utilizing the capabilities of the large model. On the far right of the Kimi input box, the first … Read more
Prompt is the fundamental input that grants LLM expressive capabilities. LlamaIndex uses prompts to build indexes, execute inserts, retrieve during queries, and synthesize final answers. LlamaIndex provides a set of out-of-the-box default prompt templates: https://github.com/run-llama/llama_index/blob/main/llama-index-core/llama_index/core/prompts/default_prompts.py Additionally, here are some prompts specifically written for chat models like gpt-3.5-turbo: https://github.com/run-llama/llama_index/blob/main/llama-index-core/llama_index/core/prompts/chat_prompts.py Custom Prompts Users can also provide their … Read more
Selected from Microsoft Blog Translated by Machine Heart Machine Heart Editorial Team With large models available, the next step is to design the Prompt. In recent months, large models like ChatGPT and GPT-4 have been released. These models exhibit powerful emergent capabilities, but the results generated by the models can be random, varying in quality, … Read more
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
Paper Title “AUTOPROMPT: Eliciting Knowledge from Language Models with Automatically Generated Prompts”, authored by Taylor Shin, Yasaman Razeghi, Robert L. Logan IV, Eric Wallace, and Sameer Singh. The paper was published at the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). The paper aims to enhance the performance of language models on downstream … Read more
Click the blue text above to follow me This article: 4300 words, 10 minutes read Why We Need Better Prompt Strategies The traditional prompting methods often rely on a fixed set of examples, which limits the potential of the model. Recently, a research team from the University of Texas at Dallas and other institutions proposed … Read more
❝ In today’s rapidly advancing world of artificial intelligence, mastering a new skill has become a necessary path for every knowledge seeker. ❞ With the widespread adoption and deepening application of artificial intelligence, prompt engineering is becoming a focal point in the industry. This field is dedicated to optimizing interactions with large language models (LLMs) … Read more
Introduction This article delves into the essence, applications, and writing techniques of prompts. By defining prompts as expressions and discovering their potential as a “universal language” for communication with existing entities, the author shares numerous unique insights. Through the quadrant method, the key points for writing prompts in different situations are elaborated. Additionally, it introduces … Read more
Hello everyone, I am Xiaoshui! Today, I want to share my learning notes from the AI learning course “Everyone is a Prompt Engineer” by Geek Time, focusing on common design pitfalls in prompts. Now, let me share my experiences regarding some of the above pitfalls when using AI large language models. As a programmer, my … Read more
Guide by Ali Mei Prompt engineering does not require complex programming knowledge; anyone can use prompt engineering to become an AI master. This article only discusses prompt engineering and does not cover model training or other content. It only discusses text generation and does not involve image-related fields. Background In this rapidly changing technological era, … Read more