5 Best LLMs You Can Use in the New AI Era
Posted: Mon Jan 20, 2025 5:51 am
When ChatGPT’s launch made the headlines in 2022, it spotlighted the power of generative artificial intelligence (AI) and large language models (LLMs). Today, businesses are adopting AI for various use cases, with 50% of the marketers we surveyed using AI for their marketing strategies.
If you’re looking for the best LLMs to improve efficiency and help you grow your business, keep reading. We made a shortlist of the most popular LLMs, their best features, and use cases for you:
What is a large language model (LLM)?
How do LLMs work?
The 5 best LLMs you can use in 2025
FAQs on the best LLMs
What is a large language model (LLM)?
A large language model, or LLM, is AI that can understand, generate, and predict text.
LLMs are trained with massive amounts of data, which enable them to power AI chatbots that understand conversational input from a human user and respond appropriately. Unlike rule-based chatbots, which reply overseas chinese in europe data on keywords and predefined rules, LLM-powered chatbots try to comprehend a user’s message and provide an appropriate answer.
llm example
How do LLMs work?
LLMs are trained with massive amounts of textual data, such as data from the Internet and published articles and books. Using deep learning techniques to process information and make conclusions, LLMs learn the relationships between words and make predictions based on patterns they’ve learned.
Given the proper training, LLMs can perform the following for businesses:
Respond to customer inquiries
Summarize email threads
List action items from meeting notes
Create blog post outlines
And more
How do LLMs understand context in language?
LLMs can understand whether a user refers to an animal or an object when the user inputs “bat.” They can then predict the following string of words a user will type in and know how to respond accordingly based on data they’ve been trained with.
When discussing LLM’s training data, you must consider the parameters. Parameters refer to variables that the language model is trained with. The more parameters an LLM has, the more capable it is of understanding (and creating) complex text.
If you’re looking for the best LLMs to improve efficiency and help you grow your business, keep reading. We made a shortlist of the most popular LLMs, their best features, and use cases for you:
What is a large language model (LLM)?
How do LLMs work?
The 5 best LLMs you can use in 2025
FAQs on the best LLMs
What is a large language model (LLM)?
A large language model, or LLM, is AI that can understand, generate, and predict text.
LLMs are trained with massive amounts of data, which enable them to power AI chatbots that understand conversational input from a human user and respond appropriately. Unlike rule-based chatbots, which reply overseas chinese in europe data on keywords and predefined rules, LLM-powered chatbots try to comprehend a user’s message and provide an appropriate answer.
llm example
How do LLMs work?
LLMs are trained with massive amounts of textual data, such as data from the Internet and published articles and books. Using deep learning techniques to process information and make conclusions, LLMs learn the relationships between words and make predictions based on patterns they’ve learned.
Given the proper training, LLMs can perform the following for businesses:
Respond to customer inquiries
Summarize email threads
List action items from meeting notes
Create blog post outlines
And more
How do LLMs understand context in language?
LLMs can understand whether a user refers to an animal or an object when the user inputs “bat.” They can then predict the following string of words a user will type in and know how to respond accordingly based on data they’ve been trained with.
When discussing LLM’s training data, you must consider the parameters. Parameters refer to variables that the language model is trained with. The more parameters an LLM has, the more capable it is of understanding (and creating) complex text.