Learn to develop a MySQL chatbot agent in Python LangGraph, which allows you to ask questions and get answers from a MySQL database in a natural language.
This article explains how to develop a simple login page with the Python Django framework. In this tutorial, we'll create routes, views, and user creation in Django.
Want to learn more programming languages? We've combined each of our comprehensive VBA reference guides into a single bundle with over 200 tips and macros covering the 125 most important topics in VBA.
This article explains how to extract structured data from text using the Hugging Face Inference API. We'll show you how to extract structured data from news articles.
Let's walk through how to develop a multiagent workflow in LangGraph using the DeepSeek R1 model. We're going to develop RAG and tabular data agents.
This tutorial explains how to perform Retrieval Augmented Generation (RAG) with the Python LangGraph framework to enhance the default knowledge of large language models.
We created a suite of 6 VBA cheat sheets with over 200 tips showing you everything you need to know to start making power Excel applications. Take a look!
Learn to use the Python LangGraph framework to develop your own multi-agent chatbots. Study how to use ReAct agents in LangGraph's multi-agent systems.
Learn to develop a retrieval augmented generation (RAG) chatbot for YouTube video question-answering using Alibaba Qwen 2.5 Model from Hugging Face.
This tutorial teaches you how to predict future time series data using a transformer model from the Hugging Face library in Python. To illustrate this, we will classify stock market data.
This article presents a comparison of Anthropic Claude 3.5 Sonnet LLM with OpenAI GPT 4o for zero-shot text classification and text summarization.
Learn how to develop a chatbot using open-source Meta Llama 3.1 model in LangChain. We'll also show you how to import this open-source model from Hugging Face in LangChain.
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