Explore the basics of LLMs, discover their common use cases, and learn more about why they matter for your business.
What are large language models (LLMs)? By Sean Michael Kerner A large language model is a type of artificial intelligence algorithm that uses deep learning techniques and massively large data sets to understand, summarize, generate and predict new content. The term generative AI also is closel...
Generative AI Tools and Techniques GANs|VAEs|Transformers|StyleGAN|Pix2Pix|Autoencoders|GPT|BERT|Word2Vec|LSTM|Attention Mechanisms|Diffusion Models|LLMs|SLMs|Encoder Decoder Models|Prompt Engineering|LangChain|LlamaIndex|RAG|Fine-tuning|LangChain AI Agent|Multimodal Models|RNNs|DCGAN|ProGAN|Text-to...
LLMs are advanced AI models trained on vast amounts of text data, enabling them to recognize linguistic patterns, comprehend context, and produce coherent and contextually relevant responses. While NLP provides the foundational techniques for machines to grapple with language, LLMs represent a ...
All of these models are natural language processing (NLP) models, meaning they have been trained to work with how a Human speaks (letters, words, sentences, etc). OpenAI GPT-3 (Generative Pre-trained Transformer 3) This LLM was released in 2020 by OpenAI. It is classified as agenerativela...
Learn about LLMs and how businesses can use them to increase efficiency, surface greater insights, and improve their competitive advantage.What Are Large Language Models? Large Language Models vs. Generative AI Why Are Language Models Important? Benefits of Large Language Models Challenges of ...
LLMs, such as Generative Pre-Trained Transformer (GPT) models, are advanced AI algorithms that leverage deep learning and massive data sets to comprehend, generate, and anticipate human language. They encompass both NLP and NLG capabilities, providing a range of tasks such as text generation, t...
Large language models (LLMs) are advanced AI systems best known for their ability to generate intelligent and creative responses in human-like ways to queries.
Generative AI and Large Language Models (LLMs) are often used interchangeably, but while they share some similarities, they differ significantly in purpose, architecture, and capabilities. In this article, I'll break down the difference between the two, explore the broader implications of generative...
Leveraging the pre-trained social consensus knowledge embedded in large language models (LLMs), we present GraphAgent-Generator (GAG), a novel simulation-based framework for dynamic, text-attributed social graph generation. GAG simulates the temporal node and edge generation processes for zero-shot ...