Crawling the Web with LLM
Web crawling frameworks and a ScrapeGraphAI example that uses local Ollama models to extract structured information from a webpage.
The notebook / 65 articles
Notes on LLMs, machine learning, data engineering, and the systems that make them work.
Showing 41–50 of 65 posts
Web crawling frameworks and a ScrapeGraphAI example that uses local Ollama models to extract structured information from a webpage.
Compare LangGraph and AutoGen across workflow structure, state management, customization, and use cases for LLM applications.
AutoGen is a framework for creating multi-agent AI applications that can act autonomously or work alongside humans.
This guide will walk you through setting up a local language model (LLM) using Ollama. Ollama is an open-source, lightweight language model that can be run locally on your machine...
Notes on processing unstructured PDF content and a demo architecture connecting a Gradio interface to models served by Ollama.
Notes on moving from Scala to PySpark, using Python dataclasses for data models, and creating DataFrames from Row objects.
Recently I successfully deploy my python wheel to Databricks Cluster. Here are some tips if you plan to deploy pyspark.
Recently I read a Blog that introducing how to use scala framework ZIO to build an application.
Reflex is a library to build full-stack web apps in pure Python.