List of Popular LLM Models (2025) – Beginner-Friendly Guide

6:59:00 PM 6:59:38 PM

🔹 OpenAI LLMs

1. GPT-4

What it is: GPT-4 is OpenAI’s most advanced AI model, capable of generating text, summarizing information, translating languages, and even writing code. It is widely used for various AI applications.
Best for: Content creation, chatbots, coding assistance, and answering complex queries.
Use: Companies use GPT-4 to automate customer support, generate reports, and assist in research. It can also be used for AI-powered writing tools.
Real-life Example: Duolingo integrates GPT-4 to provide personalized language tutoring and practice.
Link: https://openai.com/research/gpt-4

2. GPT-4 Turbo

What it is: A more cost-effective and faster version of GPT-4, optimized for real-time applications. It offers nearly the same intelligence as GPT-4 but at a lower price.
Best for: AI chatbots, virtual assistants, and business automation.
Use: Many businesses use GPT-4 Turbo in customer support and AI assistants to provide instant responses.
Real-life Example: Microsoft Copilot uses GPT-4 Turbo for smart suggestions in Word, Excel, and Teams.
Link: https://openai.com

3. GPT-3.5

What it is: GPT-3.5 is an earlier version of GPT-4, offering strong AI capabilities at a lower cost. It is used for text-based AI applications that do not require advanced reasoning.
Best for: Budget-friendly AI tools, basic chatbots, and content generation.
Use: It is commonly used in AI-powered blogs, marketing tools, and FAQ chatbots.
Real-life Example: ChatGPT Free Version runs on GPT-3.5, providing users with AI assistance for free.
Link: https://openai.com/research/gpt-3-5

🔹 Google DeepMind LLMs

4. Gemini 1.5

What it is: Gemini 1.5 is Google’s latest AI model with enhanced reasoning, memory, and problem-solving abilities. It is designed to handle large datasets efficiently.
Best for: AI-powered search, research, and complex problem-solving.
Use: Businesses use it for AI-driven decision-making, while developers use it for AI-powered tools.
Real-life Example: Google Search integrates Gemini 1.5 to provide AI-generated answers to complex queries.
Link: https://deepmind.google/gemini/

5. Gemini 1.0 (formerly Bard)

What it is: The first version of Google’s AI chatbot, now upgraded to Gemini 1.5. It was an experimental AI assistant for conversations and answering questions.
Best for: AI chatbots, research assistance, and learning new topics.
Use: Gemini 1.0 was used to improve Google Assistant and power AI-generated responses in Google Search.
Real-life Example: Google Assistant uses Gemini’s technology to improve voice search and user interactions.
Link: https://gemini.google.com/

🔹 Anthropic LLMs

6. Claude 3

What it is: Claude 3 is a smart AI assistant developed by Anthropic, designed with safety and reliability in mind. It is optimized for ethical AI applications.
Best for: Safe and reliable AI applications, customer service, and AI assistants.
Use: Businesses use Claude 3 to automate customer support, summarize documents, and assist in research.
Real-life Example: Notion AI integrates Claude 3 to help users with AI-powered note-taking and summarization.
Link: https://www.anthropic.com/

🔹 Meta (Facebook) LLMs

8. Llama 3 (Upcoming)

What it is: Meta’s next-generation AI model, expected to be a powerful open-source alternative to GPT-4.
Best for: Developers looking for a free, powerful AI model for their applications.
Use: It will be used in AI-powered social media, chatbots, and automation tools.
Real-life Example: Facebook AI tools are expected to integrate Llama 3 for smarter social media recommendations.
Link: https://ai.meta.com/llama/

9. Llama 2

What it is: A free, open-source AI model by Meta, available for developers to build AI applications.
Best for: AI development, research, and chatbot applications.
Use: Developers use Llama 2 to create AI-powered virtual assistants and chatbots.
Real-life Example: Hugging Face provides Llama 2 models for AI research and open-source projects.
Link: https://ai.meta.com/llama/

🔹 Mistral AI LLMs

10. Mistral 7B

What it is: Mistral 7B is an open-weight AI model designed for efficiency and flexibility. It is a smaller model but highly optimized for various tasks.
Best for: AI-powered chatbots, summarization, and research applications.
Use: Developers use Mistral 7B in AI assistants and data analysis tools.
Real-life Example: AI-powered legal document analysis tools use Mistral 7B for quick summaries.
Link: https://mistral.ai/

11. Mixtral

What it is: Mixtral is a Mixture of Experts (MoE) model, meaning it activates only a portion of its neural network at a time, making it more efficient while keeping performance high.
Best for: AI applications that require cost-effective, high-quality text generation.
Use: Businesses use Mixtral for AI-generated reports, translations, and knowledge retrieval.
Real-life Example: Financial AI tools use Mixtral to analyze stock market trends and generate reports.
Link: https://mistral.ai/

🔹 Cohere LLMs

12. Command R+

What it is: Command R+ is an AI model specialized in retrieval-augmented generation (RAG), meaning it can fetch real-time data before responding.
Best for: AI-powered search engines, data analysis, and intelligent chatbots.
Use: It helps companies create AI-powered research assistants that fetch the latest data before answering.
Real-life Example: Enterprise AI tools use Command R+ to improve customer support by retrieving company knowledge bases.
Link: https://cohere.com/

13. Command R

What it is: A slightly smaller and optimized version of Command R+, still focused on retrieving and generating real-time information.
Best for: AI-powered chatbots, enterprise search, and automated knowledge retrieval.
Use: Command R helps AI assistants provide up-to-date information in real-time.
Real-life Example: Customer support AI bots in large organizations use Command R for instant knowledge retrieval.
Link: https://cohere.com/

🔹 Other Notable LLMs

14. MPT-7B (MosaicML)

What it is: An open-source AI model optimized for efficiency and customization.
Best for: Companies needing private AI models for internal use.
Use: AI-powered business analytics, automation, and summarization tools.
Real-life Example: Healthcare research organizations use MPT-7B to analyze patient data.
Link: https://www.mosaicml.com/

15. Qwen-7B (Alibaba)

What it is: A multilingual AI model developed by Alibaba for global AI applications.
Best for: AI-powered e-commerce, customer service, and research.
Use: Helps businesses automate product recommendations and customer support.
Real-life Example: Alibaba AI shopping assistants use Qwen to help customers find products easily.
Link: https://huggingface.co/Qwen

16. Falcon (TII - UAE)

What it is: An efficient open-source AI model designed for performance.
Best for: AI research, language models, and business automation.
Use: AI-powered news summarization, translation, and content creation.
Real-life Example: AI news apps use Falcon to generate summaries of current events.
Link: https://falconllm.tii.ae/

🎯 Conclusion

AI models like GPT-4, Gemini, Claude, Llama, and Falcon are revolutionizing chatbots, automation, and research. Open-source models like Llama 2 and Falcon provide free alternatives for developers, while commercial models like GPT-4 and Claude 3 offer advanced capabilities.

For more AI news and tutorials, visit Hadoop Quiz! 🚀

Deep learning