Agentic Reasoning: Oxford’s New Framework for Enhanced Reasoning Published on: February 6, 2025 Agent Application Agentic Reasoning: Reasoning LLMs with Tools for the Deep Research We propose a new framework called Agentic Reasoning, which enhances the reasoning capabilities of large language models (LLMs) by integrating external tool agents. Unlike traditional LLM reasoning methods that rely … Read more
↑↑Please click the “blue text” above to follow↑↑ DeepSeek Campus Autonomous Vehicle Management: Scheduling for Campus Vehicles Hello! Today, I want to learn with you about a very interesting and practical DeepSeek programming application – the scheduling management of campus autonomous vehicles. We will start from basic knowledge and gradually build a small system that … Read more
Trends in AIGC The future LLM foundation models will become increasingly powerful, and many small models (huggingface models) are also thriving. When integrated with current enterprise applications or privatized data, new AI applications will emerge. In autonomous agent systems driven by LLM technology, LLM plays the role of the intelligent brain and includes three components … Read more
Click on the above “Beginner Learning Vision” to choose to add Star or Pin. Significant content delivered at the first time Source: Coggle Data Science The field of machine learning is vast. To avoid getting lost in learning, the following list can help guide your studies. It outlines some learning details of deep learning. Stage … Read more
Linux | Red Hat Certified | IT Technology | Operations Engineer 👇 Join the 1000-Person Technical Exchange QQ Group and note [Public Account] for faster access 1. Deploying DeepSeek Model on Ubuntu Server To install and use the DeepSeek model on Ubuntu via Ollama, follow these steps: Install Ollama 1. Install Ollama using the command … Read more
Author: Wei Wei Source:Python Enthusiasts Community This article contains a total of 7800 words, and it is recommended to read for 10+ minutes. This article combines code examples to help you get started with Python data mining and machine learning techniques. This article includes five knowledge points: 1. Introduction to data mining and machine learning … Read more
Author: Daniel Bourke Published on: 06/06/2020 Translator: Fang Xingxuan This article is 5600 words long and is recommended to be read in 10 minutes. This article summarizes the pre-exam preparation and answers to questions that may arise during the exam based on the author’s experience of taking the TensorFlow certification exam. Tags: Machine Learning | … Read more
Click on the above “Beginner Learning Vision“, choose to add “Starred” or “Pinned“ Heavy content delivered first-hand TensorFlow is an open-source, Python-based machine learning framework developed by Google. It provides interfaces in multiple programming languages such as Python, C/C++, Java, Go, and R, and has rich applications in scenarios such as image classification, audio processing, … Read more
1. Deep Learning Workstation 1.1 Configuration First, here is the computer configuration diagram: Upgraded the configuration using the company’s office computer. Except for the graphics card and power supply, other hardware is original from the company computer. 1.2 Graphics Card If you have the budget, go directly for RTX4090, but cannot reuse the company computer … Read more
Importance of Neural Networks in Mathematical Competitions In mathematical competitions, neural networks have gradually become a powerful assistant for participants due to their strong data processing and pattern recognition capabilities. Especially when dealing with complex, nonlinear, high-dimensional data, neural networks perform exceptionally well. They not only help us solve basic problems such as classification and … Read more