IntroductionIn the rapidly evolving landscape of artificial intelligence, the combination of vector indexing and retrieval-augmented generation (RAG) has emerged as a powerful approach for enhancing the accuracy and relevance of generated content. By...
IntroductionIn the rapidly evolving world of AI, building applications that leverage the power of large language models (LLMs) has become increasingly essential. LangChain is an innovative framework that simplifies the development of these applicatio...
A glimpse of what I’ve learnt about REST API design, and how I think these learning points can be applied to Machine Learning (ML) Engineering
Motivation
When I started my first ML engineering project in my current team in SAP, I had no idea that ...
A comparison between different dependency management tools for Python projects
Introduction
Dependency management is an important aspect of any programming project that requires us to use functionalities in external libraries and packages (librari...
@richdevHey there, just putting my hands up and admitting, I goofed up! In my haste to hail Poetry as the knight in shining armour, I committed the crime of tagging Pip as a dependency management tool. Fair enough, while basking in my honeymoon perio...
Hi Leo,First off, I really like the title, very creative thinking there .I think that explainable AI is something that not many of us here have really touched, but it's a crucial piece for AI systems where either the understanding of the results are ...
Not sure if you have tried before, but you could use convert your TF model to Tensorflow.js format for web browsers, if your UI framework allows Javascript. Anyway, great work for the post, it was quite interesting to read