Step by step hands-on tutorial to fine-tune a falcon-7 model using a open assistant dataset to make a general purpose chatbot. A complete guide to fine tuning llms
LLM models undergo training on extensive text data sets, equipping them to grasp human language in depth and context. In the past, most models underwent training using the supervised method, where input features and corresponding labels were fed. In contrast, LLMs take a different route by undergoing unsupervised learning. In this process, they consume vast volumes of text data devoid of any labels or explicit instructions. Consequently, LLMs efficiently learn the significance and interconnect

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