5 Best LLMs You Can Use in the New AI Era

The best LLMs you can use in 2024

1. GPT
2. Gemini
3. Llama 3
4. Falcon 2
5. Claude 3

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 2024
• 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 based on keywords and predefined rules, LLM-powered chatbots try to comprehend a user’s message and provide an appropriate answer.

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.

Do LLMs get additional training?

Typically, LLMs are given additional training to ensure their responses are accurate, helpful, and unbiased. When asked straightforward, sensible questions such as “What is a cappuccino?” LLMs can answer correctly because they were trained with the right information.

Despite the large amounts of data they’re trained with, LLMs may still produce inaccurate responses, also called AI hallucinations. Misleading questions with erroneous information may confuse LLMs. The question “What cacao beans are used for cappuccino?” may generate a fabricated answer.

The top LLMs you can use in 2024

There are several LLMs you can use today for marketing. We’ve rounded up the most popular LLMs along with other key information to guide you on which one suits your needs best:

1. GPT

GPT

4.6

Developer

OpenAI

Apps using it

ChatGPT Plus, Duolingo, Be My Eyes, Morgan Stanley, Khan Academy, and Stripe

Parameters

About 1 trillion

Read G2 Reviews

The Generative Pre-trained Transformer (GPT) model is one of the most popular LLMs. If you’ve dabbled into AI tools, chances are you’ve tried it through one of the apps it powers, ChatGPT.

GPT is designed to provide a conversational response to a user’s input or prompt. It can:

• Provide plausible answers to human’s questions
• Summarize text
• Translate text into another language
• Revise text according to tone and voice
• Write code

Developed by OpenAI, GPT has several iterations. Its latest ones — GPT-4, GPT-4 Turbo, and GPT-4o — are large multimodal models (LMMs).

Think of LMMs as evolved and more powerful LLMs. While LLMs can process text, LMMs can process text and other types of data, such as images, audio, and video. Duolingo, a language learning app, uses GPT-4 to power its Role Play feature, which is a user’s conversation partner.

2. Gemini

Gemini

4.4

Developer

Google DeepMind

Apps using it

Google apps (e.g., Gmail and Google Docs) and Gemini chatbot

Parameters

Gemini Nano has 1.8 billion

Read G2 Reviews

Gemini is a family of multimodal LLMs developed by Google DeepMind, the search engine giant’s AI research lab subsidiary. Each Gemini language model is designed for unique use cases and devices:

• Ultra: The largest model created for highly complex tasks, Ultra is used for complex coding and mathematical reasoning. It supports various languages and can be handy for generating audio descriptions of visual content.
• Pro: You can use Gemini Pro to analyze and summarize large amounts of text. It evenanalyzed and summarized the 402-page transcript from Apollo 11’s mission to the moon.
• Flash: A lightweight and fast model, Gemini Flash can process over 700,000 words and 30,000 lines of code. It can also process an hour of video and 11 hours of audio. Businesses can use it to chat with customers in real-time.
• Nano: Nano is also a lightweight model. It can be used on mobile devices to answer questions and summarize text.

3. Llama 3

Llama 3

4.3

Developer

Meta

Apps using it

Meta AI

Parameters

8 billion and 70 billion

Read G2 Reviews

Llama 3 is a family of open-source LLMs developed by Meta. It can be downloaded for free and used for research and commercial purposes.

This popular LLM is behind most of the AI features in Meta’s apps, including the AI assistant, Meta AI.

Meta AI can research topics for you and provide how-to advice. Think of it as a helper that you can use on Facebook, Instagram, WhatsApp, and Messenger.

Businesses can use Llama 3 to experiment with and scale their generative AI ideas. An education tech startup, Mathpresso, used the previous Llama 2 model to build MathGPT.

MathGPT is an AI math solver that boosts the productivity of teachers and students. This Llama-powered AI can answer mathematical questions and provide personalized learning for students.

4. Falcon 2

Falcon 2 is an open-source LLM by the Technology Innovation Institute.

It has two versions: Falcon 2 11B and Falcon 2 11B VLM. Falcon 2 11B is an efficient and accessible LLM with 11 billion parameters, while Falcon 2 11B VLM is a multimodal model with vision-to-language (VLM) capabilities.

Both versions are multilingual.

5. Claude 3

Claude 3

4.7

Developer

Anthropic

Apps using it

Claude chatbot and Notion AI

Parameters

Unknown

Read G2 Reviews

Claude 3 is a family of LLMs: Haiku, Sonnet, and Opus. Developed by Anthropic, this LLM is a capable assistant for brainstorming.

Businesses can integrate Claude 3 into their customer workflows. Anthropic has underscored the importance of integrity and safety when developing their LLMs, including Claude 3.

FAQs on the best LLMs

Learn more about the best LLMs and how you can integrate one into your strategy by going through these FAQs:

1. What tasks are LLMs best at?
2. What are the advantages of using LLMs?
3. What are the limitations of LLMs?

Let’s dive in:

1. What tasks are LLMs best at?

LLMs are primarily designed to process language-related tasks. With more training and fine-tuning, businesses can use the top LLMs for the following:

• Responding to customers’ inquiries: By fine-tuning LLMs with your company data and documentation, you can use LLMs as customer service chatbots that can respond to inquiries.
• Writing or outlining marketing content: Given additional training, LLMs can outline marketing content suitable for your audience. You can also use them to write first drafts of your social media and blog posts. Make sure to check and edit for accuracy and bias!
• Summarizing long text: Businesses can use the top LLMs as virtual assistants to summarize long text into bullet points. You can ask it to summarize long email threads and reports.
• Translating text: Most of the best LLMs on our list are multilingual. They are handy for text translation tasks.
• Writing code: You can use LLMs to help write code. As with any AI-generated content, check your code for errors and accuracy.
• Analyzing your customers’ sentiments: LLMs can analyze and summarize your customer reviews and comments on your social media posts.

2. What are the advantages of using LLMs?

With over 66% of businesses using or planning to use AI for their sustainability goals, it’s no secret that using LLMs offers several advantages for companies.

For one, using LLMs enables intelligent automation and helps streamline your processes. LLMs can handle massive amounts of text to boost your company’s efficiency.

Your team members’ productivity will also improve when trained with the proper use of LLMs.

3. What are the limitations of LLMs?

While LLMs offer several benefits to businesses, they have some limitations. For one, their generated content may contain biased or inaccurate information.

Businesses must also invest in additional training and security for their LLMs. They want to ensure their LLMs are used responsibly and trained properly.

Ready to shortlist the best LLMs for your business?

Given the proper training, the top LLMs suited for your business can improve your team’s productivity and streamline your processes. If you need help choosing the best LLM for your company, consider teaming up with WebFX.

Our team of award-winning marketers are no strangers to AI. MarketingCloudFX, our proprietary growth platform, is powered by IBM Watson AI.

Contact us online or call us at 888-601-5359 to speak with a strategist about our AI services!