Natural Language Processing, or NLP for short, is the study of computational methods for working with speech and text data. The field is dominated by the statistical paradigm and machine learning methods are used for developing predictive models. In this post, you will discover the top books that you can read to get started with […]
Large language models (LLMs) are recent advances in deep learning models to work on human languages. Some great use case of LLMs has been demonstrated. A large language model is a trained deep-learning model that understands and generates text in a human-like fashion. Behind the scene, it is a large transformer model that does all […]
When you work on a computer vision project, you probably need to preprocess a lot of image data. This is time-consuming, and it would be great if you could process multiple images in parallel. Multiprocessing is the ability of a system to run multiple processors at one time. If you had a computer with a […]
Language modeling involves predicting the next word in a sequence given the sequence of words already present. A language model is a key element in many natural language processing models such as machine translation and speech recognition. The choice of how the language model is framed must match how the language model is intended to […]
Language modeling is central to many important natural language processing tasks. Recently, neural-network-based language models have demonstrated better performance than classical methods both standalone and as part of more challenging natural language processing tasks. In this post, you will discover language modeling for natural language processing. After reading this post, you will know: Why language […]
Maximizing Productivity with ChatGPT Let Generative AI Help You Work Smarter Why Are Large Language Models So Powerful? …the secret is “Pattern Recognition and Understanding“ Large Language Models (LLMs), like ChatGPT, are incredibly powerful because they learn to understand and generate human language patterns. This capability goes beyond merely memorizing phrases; instead, they learn the […]
In this era of information overload, summarizing plays a crucial role in extracting meaningful information from large amounts of data. It is not only time-saving but also facilitates quick decision-making. However, manual summarization techniques of hiring human experts to read, analyze and summarize the data have become obsolete due to the exponential growth of data. […]
In the literature on language models, you will often encounter the terms “zero-shot prompting” and “few-shot prompting.” It is important to understand how a large language model generates an output. In this post, you will learn: What is zero-shot and few-shot prompting? How to experiment with them in GPT4All Let’s get started. Overview This post […]
Large language models have become popular recently. ChatGPT is fashionable. Trying out ChatGPT to understand what LLMs are about is easy, but sometimes, you may want an offline alternative that can run on your computer. In this post, you will learn about GPT4All as an LLM that you can install on your computer. In particular, […]
Transformer is a recent breakthrough in neural machine translation. Natural languages are complicated. A word in one language can be translated into multiple words in another, depending on the context. But what exactly a context is, and how you can teach the computer to understand the context was a big problem to solve. The invention […]
