Advanced Retrieval for Retrieval-Augmented Generation
Published:
Please see the link to the GitHub Repo at the end of the post!
Blog posts
2024
LLMs Evals: A General Framework for Custom Evaluations
Published:
Disclaimer: I am new to blogging. So, if there are any mistakes, please do let me know. All feedback is warmly appreciated.
Implementing RAG in LangChain with Chroma: A Step-by-Step Guide
Published:
Disclaimer: I am new to blogging. So, if there are any mistakes, please do let me know. All feedback is warmly appreciated.
Malicious LLM Prompt Detection in Python
Published:
I have uploaded the complete code (Python and Jupyter notebook) on GitHub
Continual Learning: Which metrics are important?
Published:
One of the most difficult things to identify throughout the lifecycle of a deployed machine learning model is: “when do I need to retrain my model?”. The most important thing is to use monitoring and observability to determine when a model is no longer performing well on offline data. The key questions you need to ask yourself as an ML Engineer are: