“Recently, I have been reading the book “QEMU/KVM Source Code Analysis and Application” by Li Qiang to learn about Linux kernel virtualization related knowledge. I am summarizing and extracting important knowledge points from the book through notes. This series mainly focuses on the introduction to CPU virtualization in QEMU.“ KVM is a kernel-based virtual machine … Read more
Gephi: A Python Library for Graph Data Visualization and Analysis In the fields of data science and network analysis, graph data is widely used in various areas such as social networks, internet link structures, and recommendation systems. As the scale of data increases and the complexity of analysis demands rises, how to efficiently visualize and … Read more
If you need the SATA project source code, please contact me. The code requires payment. WeChat ID: yesfpga 1：FPGA SATA IP The characteristics of the FPGA based SATA host controller are as follows: 1. Supports SATA 1 (1.5Gbps), SATA 2 (3Gbps), and SATA 3 (6Gbps) 2. Complies with SATA Rev 3.0 specifications 3. Implements the … Read more
Big Data Digest authorized reprint from Data Pie THU Author: Haaya Naushan Translation: Che Qianzi, Ouyang Jin When it comes to analyzing social networks, my previous articles mainly focused on Natural Language Processing (NLP), or more specifically, Arabic NLP. However, tweets are not just text data; they represent network connections between Twitter users. Adding network … Read more
AI Agent Early Insights How far have large models developed? With the explosion of intelligent Agents, what can they actually do? Today, we introduce an open-source Agent that you can start using ahead of others! What is an Agent? An Agent is a computer program or entity that can make autonomous decisions, execute specific tasks, … Read more
Basic Structure of Agents The following code snippet demonstrates the simplest AI Agent. The AI Agent solves problems using language models. The definition of an AI Agent may include large or small language models, memory, storage, external knowledge sources, vector databases, instructions, descriptions, names, etc. For example, modern AI Agents like Windsurf can help anyone … Read more
Followinglast week’sthoughts on Type 1 and Type 2 tasks, I reflected on my Type 1 tasks (tasks that can be done better than AI). As a data engineer, what can be done at this stage is to apply AI to various aspects of data development, including: data integration, SQL generation, data quality checks, Gen BI … Read more
Phidata is a framework designed for building AI agents with memory, knowledge, and tools. https://www.phidata.com/ https://github.com/phidatahq/phidata https://docs.phidata.com/introduction Three Aspects of Phidata Enhancing LLM Functionality: Memory: Phidata stores chat history in a database, allowing large language models to support longer conversations, thereby better understanding and tracking the context of dialogues. Knowledge: By storing business-relevant information in … Read more
More AI Open Source Tools: https://www.aiinn.cn/ Phidata is a framework for building multi-modal agents. Using Phidata, you can: build multi-modal agents with memory, knowledge, tools, and reasoning. Establish a team of agents that can collaborate to solve problems. Chat with your agents using a beautiful Agent UI. 16200 Stars 2200 Forks 28 Issues 82 Contributors … Read more
Project Overview Phidata is an open-source framework designed to build automated assistants (intelligent agents) with memory, knowledge, and tool capabilities. This framework addresses the limitations of existing large language models (LLMs) in terms of context and their inability to perform actions by adding a database to store chat history, a vector database to store business … Read more