In the field of Natural Language Processing (NLP),the tremendous level of complexity that language possesses, makes it difficult to augment text. The process of augmenting text data is more challenging and not as straightforward as some might expect. In this article, you will learn how to use ...
Python Dictionary Iteration Dictionaries are one of the most important and useful data structures in Python. Learning how to iterate through a Dictionary can help you solve a wide variety of programming problems in an efficient way. Test your understanding on how you can use them better!Getting...
What is Python?Python is an object-oriented computer programming language that has become popular in recent years because it is easy to use and has a wide variety of applications, such as web and software development, data science, and automation. This guide explores in detail what Python ...
In this guide, we show how to label data for use in training a YOLOv10 computer vision model.
LlamaIndexis an orchestration framework for Python and TypeScript that simplifies integrating private and public data together to build AI apps off of an existinglarge language model (LLM). It is a data framework specifically designed to enhance the capabilities of large language models (LLMs). Us...
# Create a virtual environmentpython -m venv langchain-env# Activate the virtual environment# On Windows:langchain-env\Scripts\activate# On macOS/Linux:source langchain-env/bin/activate Then, you'll need to install the latest LangChain packages: ...
Props are strictly uni-dimensional - parent components can pass data (or, like in this case, a function) to child components, but the latter can not pass data up to parent components. React developers often pass event handlers to child components, which pass arguments to event handlers that ...
Test-time augmentation, or TTA for short, is an application of data augmentation to the test dataset. Specifically, it involves creating multiple augmented copies of each image in the test set, having the model make a prediction for each, then returning an ensemble of thos...
A typical AI stack implements an infrastructure that leverages parametric knowledge from the LLM and non-parametric knowledge from data to augment user queries. Components of the AI stack include the following: models, orchestrators or integrators, and operational and vector databases. In this tu...
Building Trust in AI: The Role of RAG in Data Security and Transparency This article is an excerpt from the book, "Unlocking Data with Generative AI and RAG", by Keith Bourne. Master Retrieval-Augmented Generation (RAG), the most popular generative AI tool, to unlock the full potential of...