Three days ago, a recommendation for DeepSeek I posted unexpectedly went viral. In just 72 hours, it garnered over 70,000 views, gained more than 1,000 followers, and attracted 11 business collaboration inquiries. However, what I didn’t expect was: I received help requests from over 50 readers, almost all facing similar issues: Seeing this feedback, I … Read more
This article starts from the unique advantages of DeepSeek and comprehensively shares the methods of using DeepSeek, including: the correct way to discard prompt templates, how to make it “speak human language”, deep thinking skills, the powerful style converter, and usage pitfalls. The “DeepSeek Usage Guide” is as follows: Note: All techniques in this article … Read more
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
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
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 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
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
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
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
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