Aftab

An intelligent, multi-agent system to autonomously plan, write, edit, fact-check, and publish a complete book using the CrewAI framework and Groq's LLaMA-3-70B model. This AI pipeline mimics the collaborative process of human authors, editors, and publishers to streamline creative book development.

This project focuses on the detection of fake news using Natural Language Processing (NLP) techniques and BERT (Bidirectional Encoder Representations from Transformers) model. The goal is to build a machine learning model that can accurately classify news articles as either fake or true based on their textual content.

This project focuses on building and evaluating advanced Retrieval-Augmented Generation (RAG) techniques. RAG is a powerful approach that combines the strengths of information retrieval and generative models to produce more accurate and contextually relevant responses.

Model Context Protocol (MCP), an open standard developed by Anthropic to simplify the integration of AI applications with external tools and data sources

Arize AI is an AI observability and LLM evaluation platform built to enable more successful AI in production.

Prompt engineering is a technique used to design and optimize the text prompts provided to language models, like those from OpenAI's model family, to achieve specific, desired outcomes. By crafting well-structured prompts, developers can guide language models to perform tasks efficiently