🚀 Building an OpenAI-Compatible API with Open-Source LLM: Rate-Limiting, Custom API Keys 🔐, and…In this article, we’ll dive into building a robust API compatible with OpenAI that harnesses the power of open-source Large Language Models…Sep 10Sep 10
AI as a Service — In the context of LLM & Generative AIThe article offers an analysis of how AIaaS (AI as a Service) is evolving, driving and demonstrating promising mutual business expansion…Apr 71Apr 71
⛓Chain of Verification (CoVe) — Understanding & Implementation💡How Chain-of-Verification (CoVe) works and how to implement it using Python and Langchain.Oct 9, 2023Oct 9, 2023
Choosing the Right Path: RAG or Fine-TuningThe development of Large Language Models (LLMs) has opened up a world of possibilities for creating a multitude of applications thanks to…Oct 2, 20231Oct 2, 20231
🖹Text Summarization Unleashed: Novice to Maestro with LLMs and Instant Code Solutions (Python 🐍 +…PrefaceSep 27, 2023Sep 27, 2023
Call your own API from ChatGPT — Natural Language to ActionIn this article I will try to provide a basic tutorial on how to call your own API while conversing with ChatGPT. The tutorial follows…Apr 8, 2023Apr 8, 2023
Zero-Shot Named Entity Recognition using OpenAI ChatGPT APIThis is a hands-on practical of Zero-Shot Named Entity Recognition system using OpenAI ChatGPT API, Python and Streamlit in Google Colab.Mar 11, 20231Mar 11, 20231
Shuffling an out of box large data file in pythonShuffling data is one of the important steps in data preparation stage for any machine learning model. Once we load the through any library…Dec 19, 20211Dec 19, 20211
Demystifying activation functions in neural networkOK, so what is an activation function? If you don’t know, let me give you a bookish definition.Jan 26, 2021Jan 26, 2021
Published inThe StartupData Annotation Using Active Learning With Python CodeIn the era of Machine Learning, Data is the new oil that we all know. We are also aware that gathering data is a non-trivial task. Even…Oct 5, 20201Oct 5, 20201
