Introduction This article will introduce a research-oriented topic regarding the observability of Multi-Agent Systems. Currently, our work is primarily based on the Swarm project released by OpenAI last month, where we analyzed the source code of the Swarm project and customized modifications to achieve better observability of multi-agent systems. Today’s discussion will revolve around three … Read more
https://www.phidata.app/ is an agent SaaS company that has open-sourced the Phidata framework. From the introduction on GitHub (https://github.com/phidatahq/phidata), it has a complete set of features, so let’s learn about it. First, let’s clarify the purpose: I want to understand the following implementations: How Phidata designs the interaction between multi-AI agents How Phidata allows agents to … Read more
❝ “The future is here, the blue ocean of smart applications is unfolding before us!” 🌊 ❞ In this rapidly changing era, our lives are being transformed by various smart applications, emerging like bamboo shoots after a rain! But what are the supporting forces behind this smart revolution? Of course, it is the Phidata framework!✨ … Read more
Click Follow us by clicking the blue text above Cover image: Unlike the extension law during the pre-training phase, the performance test data for O3 shows the plasticity of model inference behavior in the post-training phase. “ 𝕀²·ℙarad𝕚g𝕞 Intelligent Square Paradigm Research: Writing Deconstructive Intelligence。 O3 is OpenAI’s L2 stage AGI product, the LLM inference … Read more
Original Title: Easily Build a Knowledge Base with LangChain, LlamaIndex, and OpenAI In today’s information age, effectively managing and utilizing vast amounts of data has become a key issue. For Python developers, building an intelligent knowledge base system can not only improve work efficiency but also provide strong support for decision-making. Today, I will teach … Read more
In today’s AI era, how to enable AI models to understand and answer questions based on specific documents has become a hot topic. LlamaIndex, as a powerful data framework, can help us easily build document Q&A systems based on large language models. This article will guide you to set up a simple yet fully functional … Read more
Click the blue text above to follow us. 1. Introduction 1.1 Background When using OpenAI’s GPT series models, we might find that for some simple questions, such as factual questions in Chinese, the AI tends to fabricate answers. And when asked about recent news events, the AI will directly state that it does not know … Read more
In the previous article, we learned how to use LlamaIndex to build a basic document Q&A system. Today, we will take it a step further and explore how to build a more intelligent dialogue system. The Chat Engine of LlamaIndex offers various dialogue modes that enable a more natural and coherent conversation experience. 1. Introduction … Read more
Click the above “Yudao Source Code“, select “Set as Star” What about the previous wave or the next wave? The wave that can roll is the good wave! Every day at 10:33 we update articles, losing a bit of hair every day… Source Code Quality Column Original | The Super Road of Java 2021, very … Read more
Reported by Machine Heart Editor: Chen Ping It seems that paper search tools are starting to become competitive! For those who search for papers every day, having a good search tool is simply delightful, and efficiency definitely increases. But the reality is that either the search tool is ineffective, or the keywords you input are … Read more