What are the top 10 risks for large language models (LLMs) according to the Open Web Application Security Project (OWASP)? The vulnerabilities OWASP highlights in their Top 10 for LLM report include: Prompt inj
Explore the basics of LLMs, discover their common use cases, and learn more about why they matter for your business.
25 of the best large language models in 2025 Modern LLMs emerged in 2017 and usetransformer models, which are neural networks commonly referred to astransformers. With a large number of parameters and the transformer model, LLMs are able to understand and generate accurate responses rapidly, whic...
What is a large language model (LLM)? A large language model (LLM) is a type of artificial intelligence (AI) program that can recognize and generate text, among other tasks. LLMs are trained on huge sets of data— hence the name "large." LLMs are built on machine learning: specificall...
Understanding the distinctions between LLMs and Generative AI is essential for choosing the best tool for your project management requirements. Here are the main differences: Focus area: LLMs concentrate on language-based tasks like text comprehension, summarization, and translation. Generative AI enco...
Large language models (LLMs) are text-orientedgenerative artificial intelligences, and they have been in mainstream headlines since OpenAI’s ChatGPT hit the market in November 2022. LLMs are trained on large volumes of text, typically billions of words, that are simulated or taken from public ...
LLM benchmarks are standardized frameworks for assessing the performance of large language models (LLMs). These benchmarks consist of sample data, a set of questions or tasks to test LLMs on specific skills, metrics for evaluating performance and a scoring mechanism. Models are benchmarked based...
Large language models (LLMs) are deep learning algorithms that can recognize, summarize, translate, predict, and generate content using very large datasets.
LLMs are making incredible progress, and I’m delighted every day by what they can accomplish. But their true potential comes through when they’re applied to your unique business data and workflows. That way, they’ll solve more than puzzles—they’ll help untangle your thorniest business pro...
The Future of LLMs in Customer Service As technology advances, the role of LLMs in customer service will undoubtedly grow. These AI-driven tools will interact with customers in natural language, answering questions, providing information, and resolving common issues. The advantages are evident – ...