Cracking the Code: A Quick Guide to Large Language Models (LLMs) ๐Ÿš€

Adarsha Regmi
2 min readSep 29, 2023

๐Ÿ› ๏ธ Building Applications with LLMs

๐ŸŽ‰ Welcome to the world of Large Language Models (LLMs) ๐Ÿค–, powerful AI systems that can outperform humans in various tasks. The best part? You donโ€™t need an advanced degree in machine learning to harness their capabilities. Hereโ€™s a rapid overview:

What Are LLMs?

LLMs are advanced AI models trained on vast text data, enabling them to understand and generate human-like text.

Why They Matter: LLMs are versatile and find use in content generation, chatbots, language translation, and more, transforming how we use AI.

Getting Started:

  • Access LLMs: Gain access to LLMs conveniently through APIs or platforms.
  • Input Prompts: Interact with LLMs effortlessly using simple prompts or requests.
  • Fine-Tuning: Tailor LLMs to specific tasks by fine-tuning them.

Example: Fine-Tuning LLMs: Consider the case of creating a customer support chatbot. By fine-tuning an LLM on pertinent customer queries and responses, you can create a highly effective and customized solution.

๐ŸŒŸ Unlocking the Potential of LLMs:

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Use case:

Lets say there is a platform where we practice the English proficiency test. There is a peer who asks us a question and listens to the answer who give. Now I cannot pay different person for this task. I cannot hire a lot of people for my system so I come with the solution to build a llm person that is active 24*7 for all the users .

Lets see this diagram to understand the architecture.

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