A chatbot is a computer program that simulates human conversation with an end user. Though not all chatbots are equipped with artificial intelligence (AI), modern chatbots increasingly use conversational AI techniques like natural language processing (NLP) to understand the user’s questions and automate responses to them.
Chatbots can make it easy for users to find information by instantaneously responding to questions and requests—through text input, audio input, or both—without the need for human intervention or manual research.
Chatbot technology is now commonplace, found everywhere from smart speakers at home to consumer-facing instances of SMS, WhatsApp and Facebook Messenger to workplace messaging applications like Slack. The latest evolution of AI chatbots, often referred to as “intelligent virtual assistants” or “virtual agents,” can not only understand free-flowing conversation through use of sophisticated language models, but even automate relevant tasks. Alongside well-known consumer-facing intelligent virtual assistants like Apple's Siri and Amazon Alexa, virtual agents are also increasingly used to in an enterprise context to assist customers and employees. Continue reading from IBM Cloud Learning Hub
Large language models, or LLMs, are a type of AI that can mimic human intelligence. They use statistical models to analyze vast amounts of data, learning the patterns and connections between words and phrases. This allows them to generate new content, such as essays or articles, that are similar in style to a specific author or genre.
To understand how large language models work, it's helpful to first look at how they are trained. Training a large language model involves feeding it large amounts of data, such as books, articles, or web pages, so that it can learn the patterns and connections between words. The more data it is trained on, the better it will be at generating new content.
Once the large language model has been trained, it can be used to generate new content based on the parameters set by the user. For example, if you wanted to generate a new article in the style of Shakespeare, you would provide the Large language model with a prompt, such as a sentence or paragraph, and it would generate the rest of the article based on the patterns and connections it has learned from analyzing Shakespeare's works. Continue reading from Boost AI
A Beginner’s Guide to Language Models (Built In)
Chatbot 101: Everything you ever wanted to know about Chatbots (Medium)
Language Models are Changing AI. We Need to Understand Them (Stanford University)
The emerging types of language models and why they matter (TechCrunch)
