what are LLMs in AI?

Question

How LLMs are different from SLMs?

Swesh S · Answer

A Large Language Model (LLM) is a type of machine learning model developed to understand and generate text. It's built using deep learning, specifically with neural networks (like transformers), and is trained on massive datasets of text from sources such as books, websites, and articles. The training of the model uses techniques like unsupervised learning where the model isn’t explicitly told what to look for, but instead, it "learns" from raw text. Most modern LLMs, like OpenAI's GPT or Google's BERT, are based on the transformer architecture. Once trained, the model can perform a variety of language tasks. It generates text by predicting what comes next based on the input it receives. For example, if you give it the prompt “Once upon a time,” it generates something that makes sense based on the patterns it learned from its training.

Shivam Payasi · Answer

LLMs, or Large Language Models , are a type of artificial intelligence (AI) model designed to process and generate human-like language. They are typically based on deep learning architectures, such as the Transformer model, which allows them to understand and generate text with high levels of fluency and coherence. Key characteristics of LLMs include: Scale : These models are "large" because they are trained on massive datasets of text from diverse sources (e.g., books, articles, websites) and have billions or even trillions of parameters (weights used for learning). For example, GPT-4, an LLM from OpenAI, has around 100 billion parameters. Generalization : Due to their size and the variety of data they're trained on, LLMs can perform a wide range of tasks like translation, summarization, question answering, code generation, and more without being explicitly programmed for each task. Pretraining and Fine-tuning : LLMs are often pretrained on large corpora to learn the statistical patterns of language. They can be fine-tuned on specific tasks or domains to improve their performance in specialized areas, such as legal text processing or scientific research. Contextual Understanding : LLMs are adept at understanding context, which allows them to generate relevant responses and maintain coherent conversations. They can understand context across sentences, paragraphs, or even longer pieces of text.

what are LLMs in AI?

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