Python Basics for Beginners

Operating System and Version (OS): Windows

Tools used: miniconda, Jupyter Lab

PC Specs: Not applicable

Practice materials provided through GitHub page:https://github.com/tsdata/python-basic

No separate player knowledge is required. This is a basic course for beginners.

If you have any questions or comments, please feel free to ask.

Implementation of RAG system utilizing LangChain & performance evaluation

From RAG implementation to performance evaluation -

Practical AI Development Completed in 9 Hours

• LangChain-based RAG system construction practice

• Learn advanced RAG techniques

• RAG System Performance Evaluation Methodology

• LangChain's latest LCEL grammar and how to use Runnable

  
  

Link: https://inf.run/mdYe4

Creating Python Chatbot & RAG through Projects - Using LangChain, Gradio

Consists of a total of 4 projects

• Simple QA Chatbot: Setting up the development environment, LLM Chain structure, Understanding the Gradio interface

• PDF-based RAG Chatbot: Understanding RAG Techniques, Understanding Model Parameters, Implementing Chatbot Interface

• Data Analysis Chatbot: Upload CSV file and analyze the data (Single Agent)

• Investment Analyst Chatbot: Cryptocurrency Research and Investment Analysis (Multi Agent)

Link: https://inf.run/PfJaS

LLM Data Analytics - From Web Crawling to Recommendation Systems

Upgrading to LangChain and LLM

Web Crawling & Data Analysis

• Data collection using web crawling/scraping

• Data collection, cleaning, and analysis using LangChain tools and LLM

• Predictive analytics using LLM (sentiment analysis, summarization, product recommendations, etc.)

Link: https://inf.run/QYw3Q