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Fine Tuning, RAG e Prompt Engineering: Qual é melhor? e Quando Usar?

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EASIEST Way to Fine-Tune a LLM and Use It With Ollama

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The Future of Programming: Prompt Engineering | Jensen Huang 💻🤖

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Prompting vs. Fine-Tuning: The Impact of Context Length and Few Shot Learning

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LLM is not listening to you? Do this instead! A Prompt Engineering Guide

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What is fine-tuning? Explained!

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Fine-tuning vs Prompt Engineering: Which is Better for #RevOps?

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What is the difference between fine-tuning an LLM and retrieval augmented generation?

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Temperature in LLM Settings Explained — Prompt Engineering Course #generativemodels #languagemodels

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MasterClass - Prompt Engineering, RAG and Fine-tuning LLM Usecases and benefits

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General idea of fine tuning the GenAI model

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Fine-tuning EXPLAINED in 40 sec #generativeai

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The importance of LLM Fine-tuning

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🔴 ¿RAG, Fine-tuning o Prompt engineering? - OPEN AI DEV DAY

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The Downside of Fine-Tuning AI Models

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Finetuning explained in 15 seconds #llm #ai #openai #chatgpt #google #youtubeshorts #trending #fyp

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Fine-tuning vs Retreival Augmented Generation #finetuning #RAG #AI #LLMs #artificialintelligence

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Mastering AI: Fine-Tuning vs. Prompt Engineering

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Why More Context Beats Fine-Tuning in AI Language Models

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Reverse engineering LLM prompts with output2prompt

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What are LLM's or Large Language Models?

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What is Retrieval-Augmented Generation (RAG)?

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Learn LLMs in 20s Series: Prompt Engineer vs RAG Explained

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RAG vs fine tuning - Why I Choose RAG over Fine tuning? #llm #rag #ai #ai2025 #finetuning