Introduction to LLM – Large Language Models – gpt-4o, claude, deepseek, gemini, Llama | Generative AI | Geekashram – Geekashram | Empowering tech aspirants to start their tech career.

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Introduction to LLM – Large Language Models – gpt-4o, claude, deepseek, gemini, Llama | Generative AI | Geekashram

What is LLM ?

LLM stands for Large Language Model—an advanced AI trained on vast text datasets to understand and generate human-like responses.

Ever wondered how AI can draft emails, crack jokes, translate languages, summarize long articles, create personalized recommendations, or even help write code? That’s the magic of LLMs!

Key Features of LLMs (Superpowers of AI!):

Natural Language Understanding (NLU): Can read, comprehend, and summarize content like a human.
Natural Language Generation (NLG): Writes essays, poems, and even codes entire applications.
Context Awareness: Remembers what you said earlier in the conversation for smarter responses.
Trained on Large Datasets: Uses books, articles, and websites to develop intelligence.

Examples of LLMs:

GPT-4 (by OpenAI)
Claude (by Anthropic)
Gemini (by Google DeepMind)
Llama 3 (by Meta)

Can an LLM Like ChatGPT Answer Any Question About GeekAshram?

User Query: “Do you know any AWS developer at GeekAshram?

LLM’s (ChatGPT) Response: I’m unable to find information about an AWS developer at GeekAshram.

Now, asking the same question to another AI platform specifically trained on GeekAshram’s internal data.

GeekAshram-Trained AI Response: “Yes, Ankit Singh has experience with AWS Cloud.”

Conclusion

General LLMs (like ChatGPT) → Best for answering publicly available information but cannot access private company data.
Company-Trained AI → Designed to provide accurate internal insights, making it more reliable for company-specific queries.

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