Fine-Tuning vs Transfer Learning? Find Out Fast!
Transfer Learning ≠ Fine-Tuning
Adapting a pretrained model like BERT or LLaMA 2? Don’t waste time or resources using the wrong approach.
#TransferLearning: Freeze most layers, retrain the final ones, fast & cost-effective.
#FineTuning: Update the full model, ideal for niche or domain-specific use cases.
Whether you’re building sentiment analysis or a legal #AI chatbot, this 60s explainer breaks it down.
Got questions or want help with your #AIproject?
Comment below and subscribe for more dev-focused AI content.
#MachineLearning #LLMs
Subscribe to our channel: https://www.youtube.com/@Clickittech
Transfer Learning ≠ Fine-Tuning
Adapting a pretrained model like BERT or LLaMA 2? Don’t waste time or resources using the wrong approach.
#TransferLearning: Freeze most layers, retrain the final ones, fast & cost-effective.
#FineTuning: Update the full model, ideal for niche or domain-specific use cases.
Whether you’re building sentiment analysis or a legal #AI chatbot, this 60s explainer breaks it down.
Got questions or want help with your #AIproject?
Comment below and subscribe for more dev-focused AI content.
#MachineLearning #LLMs
Subscribe to our channel: https://www.youtube.com/@Clickittech
