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
Introduction to Open WebUI Open WebUI (formerly known as Ollama WebUI) is a user-friendly web interface designed for Language Models (LLMs), supporting various LLM runners including Ollama and OpenAI compatible APIs. The project aims to provide users with an intuitive, responsive, fast, and easy-to-install chat interface. Features of Open WebUI ⭐ • 🖥️ Intuitive Interface: … Read more
Machine Heart Reports Editor: Rome Large language models have astonishing capabilities, but they often incur huge costs during deployment due to their size. Researchers from the University of Washington, in collaboration with the Google Cloud AI Research Institute and Google Research, have proposed a solution to this problem by introducing the Distilling Step-by-Step paradigm to … Read more
Report by Machine Heart Machine Heart Editorial Team This article conducts a controlled variable experiment on the reasoning step length of the thinking chain, finding that the reasoning step length is linearly correlated with the accuracy of the answers, and this influence mechanism even transcends the differences generated by the problem itself. Today, the emergence … Read more
Click below to follow, article from “ Large language models (LLMs) have become a key force driving industry transformation, especially crucial in RAG systems. This article focuses on five open-source tools that can efficiently import diverse data sources into LLMs, enhancing development efficiency while improving system performance.” In the RAG workflow, how to efficiently and … Read more
The development of Knowledge Graphs (KG) is closely linked to the advancements in Artificial Intelligence (AI) agents. Starting from their static origins, knowledge graphs have evolved to include dynamic, temporal, and event-driven paradigms, each unlocking new capabilities for AI systems. This article explores their evolution and how Large Language Models (LLM) integrate into these advancements. … Read more
The previous article introduced the basic concepts, mainstream architectures, and application frameworks of AI Agents. In this article, we begin to review the AI Agents of 2024, starting with the well-known best practices from Anthropic: Building Effective Agents. For the original text, see [1]. This article summarizes the main content. Over the past year, Anthropic … Read more
LLM: The Transformer of Natural Language Processing In today’s digital age, Large Language Models (LLM) are key technologies in the field of artificial intelligence, profoundly changing the landscape of natural language processing at an unprecedented pace. LLMs are based on deep learning and can understand and generate human language. Their core principles and architecture are … Read more
“Programming is the art of telling another human being what one wants the computer to do.” — Donald Knuth 📑Paper:A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond 🔧GitHub:https://github.com/QiushiSun/NCISurvey Note: The authors of the paper are from Shanghai Artificial Intelligence Laboratory, The University of Hong Kong, National University of Singapore, East China Normal University, … Read more
↑ ClickBlue Text Follow the Jishi Platform Source丨Machine Heart Jishi Guide “Big model developers, you are wrong.”>> Join the Jishi CV technology group to stay at the forefront of computer vision. “I found a bug in the attention formula that no one has discovered for eight years. All Transformer models, including GPT and LLaMA, are … Read more