මොනවද මේ Large Language Models? | Discussion with Malinda Alahakoon

A Large Language Model (LLM) refers to a type of artificial intelligence system that is specifically designed to process and generate human-like text. These models are built using deep learning techniques and are trained on vast amounts of text data from the internet, books, articles, and other sources. The aim of training these models is to enable them to understand and generate human language with a high degree of fluency and context.

One of the most well-known examples of a Large Language Model is OpenAI's GPT (Generative Pre-trained Transformer) series, including GPT-3. These models consist of numerous layers of processing units that can learn complex language patterns, grammatical structures, and contextual relationships from the data they are trained on.

Large Language Models are capable of various language-related tasks, including:

Text Generation: They can produce coherent and contextually relevant text passages, articles, stories, and more.

Text Completion: They can suggest word predictions or complete sentences given a partial input.

Text Summarization: They can generate concise summaries of longer texts.

Language Translation: They can translate text from one language to another.

Question Answering: They can provide answers to questions posed in natural language.

Chatbots and Conversational Agents: They can engage in text-based conversations, simulating human-like interactions.

Content Creation: They can assist with content generation for marketing, social media, and other platforms.

Code Generation: They can generate programming code based on descriptions or requirements.

Data Analysis: They can assist in processing and analyzing textual data.

Language Understanding: They can extract information, sentiment, and context from text.

Large Language Models have shown significant advancements in their ability to understand and generate text, leading to applications in various industries such as customer service, content creation, education, research, and more. They are also part of ongoing research and development in the field of artificial intelligence, contributing to the progress of natural language processing capabilities.

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