Confused about what to choose between Open AI assistants and LangChain agents? This guide breaks out the key differences between these two for you.
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On-device fine-tuning refers to a machine learning technique where a pre-trained model is further trained or adapted on a specific device, such as a smartphone, rather than relying solely on centralized servers.
RAG has external knowledge read whereas fine-tuning comes with training data. Refer to this RAG v/s Fine-tuning guide to know the use cases and benefits of both.
You just cannot guess and pick any model from the basket and train it. If the model is not compatible with your target task and framework, you won’t get the results.