Imagine this scenario: You’ve just spent a long workday, dealing with codes, errors, and bugs that seem to have a life of their own. You want to share your experiences with the world through your blog, but your fingers feel like lead weights on the keyboard. Sound familiar? Don’t worry, my friend, you’re in the right place. I present to you a solution to your problem, the result of many sleepless nights and my love for automation: the magical world of LLM’s and LangChain.
What are LLM’s and LangChain?
LLM’s (Language Models) are machine learning models that are trained to predict the next word in a sentence, based on the previous words. In other words, it’s a text oracle that can generate coherent and relevant content based on a given context.
On the other hand, we have LangChain, a Python library that facilitates the manipulation and analysis of natural language text. It’s similar to a Swiss Army knife of natural language processing, full of useful functions for all kinds of text tasks.
How it all began
One day, while struggling with writer’s block, a light bulb went off in my head. What if I could use my old blog posts to train a language model that could write new posts for me? The idea seemed so exciting that I couldn’t resist trying it. That’s how my project Blog Generator was born.
Let’s get to work!
First, I compiled all my old blog posts from aenrione.xyz and used them as training data for my language model. Then, I used LangChain to process the texts and prepare them for training.
Next, I got to work with Streamlit, a Python library that allows for rapid web application development. With Streamlit, I was able to create a simple user interface for my blog generator. This interface allowed me to input a topic and receive a machine-generated draft of a blog post.
Finally, I used the OpenAI API to access their powerful GPT-3 language model and test my blog generator. And, to my delight, the results were amazing.
My plans for the future
Although I’m very satisfied with what I’ve achieved so far, I still have big plans to improve this project. I would love to add more language models to offer even more diversity in text generation. In addition, I plan to “dockerize” the repository to facilitate its deployment in different environments. And lastly, I want to integrate the generator directly into my blog repository, so it can automatically publish the generated posts.
In conclusion
I may not yet be able to write the next great novel, but my blog generator has saved me many hours of writing, and added a bit of spark to my posts. If you like the idea of having your own customized blog generator, I invite you to try my tool. Who knows, it might inspire you to create your own version!