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This repo contains the code of concepts and projects i learnt from the course "LangChain & Vector Databases in Production", “Training and Fine-tuning LLMs for Production” and "Retrieval Augmented Generation for Production with LangChain & LlamaIndex"
AI Prompt Engineering is a Streamlit app that allows users to experiment with different types of prompts for AI language models. The app provides a user-friendly interface for entering text or code and generating summarized or cleaned output.
This project explains "prompt engineering," a key technique for guiding AI models to desired outputs in tools like chatbots and text summarizers. It highlights the importance of clear instructions and techniques like CoT Prompting for effective communication with large language models. The project also introduces the Langchain library✨.
This repository provides the data and code needed to replicate "Semantic proximity underlies progression in the endorsement of multiple conspiracy theories by individuals"
This bootcamp is designed to give NLP researchers an end-to-end overview on the fundamentals of NVIDIA NeMo framework, complete solution for building large language models. It will also have hands-on exercises complimented by tutorials, code snippets, and presentations to help researchers kick-start with NeMo LLM Service and Guardrails.
Chromium based extension with responsive side-panel UI, enhancing browsing experience by providing prompt-assisted search capabilities right within your browser. All the prompts are stored within the browser local storage