LLM Fine-Tuning: SFT, LoRA, QLoRA, RAG and Prompting
Large language models can perform many tasks without any additional training. They can answer questions, summarize text, generate code, classify information, and interact with tools.
Useful takeaways from this story.
Large language models can perform many tasks without any additional training.
However, when building an AI agent for a specific application, a general-purpose model may not always behave in the way the application requires.
They can answer questions, summarize text, generate code, classify information, and interact with tools.
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The useful part
Large language models can perform many tasks without any additional training. They can answer questions, summarize text, generate code, classify information, and interact with tools. However, when building an AI agent for a specific application, a general-purpose model may not always behave in the way the application requires.
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