Generative AI Applications
ChatGPT Advanced Data Analysis (Code Interpreter): Practical Guide
Unlock the power of the ChatGPT Advanced Data Analysis tool — formerly Code Interpreter — to clean, analyze and visualize your data without writing Python. Get practical guidance.
Code Interpreter: Traditional vs. LLM Use Cases & Top 5 Tools
Learn the differences between traditional and LLM code interpreters and find the top five tools to support analysis, automation and data tasks.
Open Interpreter: How It Works, Supported LLMs & Getting Started
Explore the capabilities of the Code interpreter, an open-source tool for working with large language models on your local machine.
Intelligent Automation: Pros/Cons, Use Cases & 5 Key Capabilities
What Is Intelligent Automation (IA)? Intelligent automation (IA) is the integration of artificial intelligence (AI), machine learning (ML), and robotic process automation (RPA) to create systems that can perform both routine and complex tasks. These systems improve over time by learning from data and user interactions, leading to increased efficiency and decision-making capabilities. By using […]
Understanding RAG: 6 Steps of Retrieval Augmented Generation (RAG)
What Is Retrieval Augmented Generation (RAG)? Retrieval Augmented Generation (RAG) is a machine learning technique that combines the power of retrieval-based methods with generative models. It is particularly used in Natural Language Processing (NLP) to enhance the capabilities of large language models (LLMs). RAG works by fetching relevant documents or data snippets in response to […]