LLM

Large Language Models (LLMs) are advanced artificial intelligence systems designed to understand, process, and generate human-like text. They are built on massive datasets and contain billions of parameters, enabling them to capture intricate patterns in language. LLMs utilize transformer architectures, which allow them to consider context over long sequences of text. These models can perform a variety of language-related tasks, including text generation, translation, and summarization, often with minimal training examples. The emergence of LLMs, particularly with the popularity of models like ChatGPT, has revolutionized the field of natural language processing and AI applications.

LLM

Codecademy

Large Language Models (LLMs) are sophisticated artificial intelligence systems designed to process, understand, and generate human-like text. These models are trained on massive datasets of text from ...

What is LLM 2.0?

Machine Learning Techniques

LLM 2.0 refers to a new generation of large language models that mark a significant departure from the traditional deep neural network (DNN)-based architectures, such as those used in GPT, Llama, Clau...

A Practical Introduction to LLMs

Towards Data Science

3 levels of using LLMs in practice This is the first article in a series on using Large Language Models (LLMs) in practice. Here I will give an introduction to LLMs and present 3 levels of working wi...

The Busy Person Intro to LLMs

Towards AI

What are LLMs? LLMs or Large Language Models is a type of generative AI that has been trained on a massive scale of data (petabytes of data) and can produce novel responses to any type of question, th...

The Magic of LLMs — Prompt Engineering

Towards Data Science

Large language models (LLMs) are able to conversationally provide an unprecedented level of ML-generated information when asked the right question. For example, LLMs can generate articles (no, an LLM…...

Gentle Introduction to LLMs

Towards AI

Figure 1: https://finance.yahoo.com/news/explosive-growth-predicted-large-language-184300698.html The LLM market is expected to grow at a CAGR of 40.7%, reaching USD 6.5 billion by the end of 2024, an...

LLM at Home

Better Programming

Trying StarChat 16B large language model on a PC Image generated by StableDiffusionXL 1.0 model. Prompt: “machine learning model writes software code, artificial, cyberpunk, dystopian, silhouette, ob...

Make LLM talk about your Data

The Pythoneers

Walkthrough of using LLM with its associates to answer for you Photo by julien Tromeur on Unsplash As AI is blowing up the market currently, you might be wondering, how they know about all this stuff...

How much energy do LLMs consume?

Towards Data Science

Large Language Models (LLMs) are becoming the new mainstream for several tasks we perform everyday: searching answers to our everyday questions, summarizing texts, creating slides or creating images f...

The (lesser known) rising application of LLMs

Towards Data Science

Overview Large Language Models (LLMs) are often described as Generative Artificial Intelligence (GenAI) as they indeed have the ability to generate text. The first popular application of LLMs were ch...

Scaling LLM Evaluation

Towards AI

Automated Evaluation Playbook for LLM-Based Applications Photo by Jungwoo Hong on Unsplash. Large Language Models (LLMs) are transforming machine learning, powering applications like chatbots, RAG, a...

Is Your LLM Application Ready for the Public?

Towards Data Science

Key concerns when productionizing LLM-based applications Large language models (LLMs) are becoming the bread and butter of modern NLP applications and have, in many ways, replaced a variety of more s...