Search for a command to run...
Backend Engineer 🚀 Cloud Native Enthusiast ☁
Learn how to build your own powerful Large Language Model (LLM) application that can search the web, extract information, and answer your questions – all LOCALLY!
In this tutorial, I'll walk you through the process of creating a web-searching LLM from scratch, covering web crawling, vector databases, and semantic search. No API keys or cloud services needed!
No comments yet. Be the first to comment.
In a common workflow we create a virtual environment using different tools inside of the project directory. You might have venv, .venv, env and so on. I find it a bit cluttered. My approach is a bit d
Large Language Models are great at generating code, but we need to go an extra mile to run them; well not any more. In this video, we will be building our application that can use both local and hosted large language models (Gemini, ChatGPT, and so o...
Having a private PyPI repository can be beneficial in many ways. We can host our internal private packages; from security perspective, it can be a controlled environment for public packages from where all the dependencies are installed in our project...
GitHub Actions is a powerful and versatile CI/CD solution that works for different teams and projects. It's a built-in feature of GitHub, the platform that many developers use daily, so it's easy to set up and use. One of the benefits of GitHub Actio...
