From Questioner to Architect: The Evolution of Prompt Engineers in the AI Era

From Questioner to Architect: The Evolution of Prompt Engineers in the AI Era

From Questioner to Architect: The Evolution of Prompt Engineers in the AI Era Introduction: The Paradigm Shift in AI Interaction “o1 is not a chat model (this is the key point)”, Ben Hylak and swyx & Alessio pointed out in an article published on January 12, 2025 (https://www.latent.space/p/o1-skill-issue[1]) that there is a profound transformation occurring … Read more

What You Need to Know About Prompt Engineering

What You Need to Know About Prompt Engineering

Selected from Lil’Log Translated by Machine Heart Editor: Rome Rome With the rise of models like ChatGPT and GPT-4, people are increasingly interested in how to create prompts to obtain the desired outputs. Researchers find that responses to specific prompts can be difficult to predict and vary depending on the model. This article, written by … Read more

Prompt Engineering Tutorial in Chinese

Prompt Engineering Tutorial in Chinese

Write high-quality prompts to let AI generate stunning text and images. —— This is the problem that prompt engineers, who are still in high demand with annual salaries reaching millions, are solving. In the era of large language models, numerous mind-blowing artworks and impressive copywriting are emerging, created not by traditionally defined artists or writers, … Read more

Prompt as Code: Best Practices for Designing and Managing AI Programming

Prompt as Code: Best Practices for Designing and Managing AI Programming

Prompt as code is a programming paradigm based on multiple input modalities, which provides richer contextual information by combining text, images, voice, and other input methods to help programmers better express their intentions and generate corresponding code implementations. Prompt as code incorporates prompts as part of the code and defines the generated code as a … Read more

Prompt Sapper: The Soulmate of Foundation Models and an Innovation Hub for AI Services

Prompt Sapper: The Soulmate of Foundation Models and an Innovation Hub for AI Services

Machine Heart Column Authors: Xing Zhenchang (CSIRO’s Data61), Huang Qing (JXNU), Cheng Yu (JXNU) The SE4AI team from CSIRO’s Data61 and the Intelligent Software Engineering Laboratory at Jiangxi Normal University jointly developed the world’s first no-code production platform for AI chains, Prompt Sapper, along with corresponding methodologies and an AI service marketplace.Foundation models have brought … Read more

Overview of Prompt Engineering

Overview of Prompt Engineering

Abbreviation Explanation: task column CR: Commonsense Reasoning QA: Question Answering SUM: Summarization MT: Machine Translation LCP: Linguistic Capacity Probing GCG: General Conditional Generation CKM: Commonsense Knowledge Mining FP: Fact Probing TC: Text Classification MR: Mathematical Reasoning SR: Symbolic Reasoning AR: Analogical Reasoning Theory: Theoretical Analysis IE: Information Extraction D2T: Data-to-text TAG: Sequence Tagging SEMP: Semantic … Read more

Quick Understanding of Generative AI

Quick Understanding of Generative AI

Recommendation This article introduces the book “Generative AI in Action“, published by O’Reilly in 2024, authored by Amit Bahree from Microsoft. The book mainly covers knowledge related to generative AI, including LLMs, prompt engineering, model fine-tuning, RAG, vector databases, etc. The author provides numerous code examples, guiding readers into the world of generative AI through … Read more

Exploring the Evolution of Application Engineering Architecture in the AI Era

Exploring the Evolution of Application Engineering Architecture in the AI Era

AliMei’s Introduction Contemporary AI is surging forward. This article analyzes the evolution of application engineering architecture in the AI era from the characteristics of AI, the challenges it poses to development, and the differentiation of AI applications and scenarios. Preface In the current era of generative models, understanding and utilizing AI-related technologies is something that … Read more

Advanced Techniques for Kimi: Surpassing 90% of Users

Advanced Techniques for Kimi: Surpassing 90% of Users

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 Engineering in LlamaIndex

Prompt Engineering in LlamaIndex

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