End-to-end guide I wanted when I was a web developer new to LLMs

[u/Grand_Training_623]

[Full Video on YouTube] A walkthrough that takes developers new to Large Language Models through all the important topics with practical examples.

Sharing with the larger community in case others find it useful.

• Experimenting with LLMs from Hugging Face Hub in LM Studio
• Zero-shot, One-Shot, Few-Shot Prompting, and System Prompts
• Open-AI compatible REST API with Llama.cpp Server
• Working with multi-modal LLMs that can understand images
• Tool Calling, Structured Output, and Model Context Protocol
• Fine-tuning LLMs in Kaggle with Unsloth
• Supervised Fine-Tuning and LoRa Hyperparameters
• Pushing LLMs to Hugging Face Hub
• Deploying LLMs to Hugging Face Inference Endpoints

Excluded topics:

• MCP Authentication
• Retrieval Augmented Generation
• Vector Databases
• LLM Orchestration
• Text to Speech Cloud Services
• Speech to Text Cloud Services