Definition
Instruction Tuning is a specialized form of fine-tuning where a language model is trained to accurately interpret and precisely execute explicit instructions and prompts.
Explanation
Following initial pre-training, language models often tend to simply generate text continuations rather than directly answering specific questions. Instruction Tuning addresses this challenge by training the model with datasets consisting of instruction-response pairs (e.g., "Summarize this paragraph:"). This step is what makes models truly viable for real-world applications and interactive use as a chatbot or copilot. In the B2B sales and SaaS context, Instruction Tuning ensures AI can reliably process structured commands, such as extracting contact information from an email or formatting raw data into a JSON object for the CRM. It is therefore crucial for the seamless integration of AI into automated workflows.dealcode Sales AIBereit für automatisierte B2B-Prozesse?
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