PEFT vs Full Fine-Tuning PEFT - explained by Dir of Research at NVIDIA 🚀 #finetuning #interview

Full fine-tuning can wreck your model when data is limited—leading to catastrophic forgetting and loss of general knowledge. Enter PEFT (Parameter-Efficient Fine-Tuning). 🔥 : Pavlo Molchanov from @NVIDIA – Exploring efficient architectures & the future of AI reasoning

🔗 Full interview 👉 https://youtu.be/3ugqpxhycPk
Watch the full interview with :
Diego Guerra Orozco from @meta – Discussing why open-source AI is the future
Loubna Ben Allal from @HuggingFace – Breaking down the rise of small models & on-device AI
Pavlo Molchanov from @NVIDIA – Exploring efficient architectures & the future of AI reasoning

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Видео PEFT vs Full Fine-Tuning PEFT - explained by Dir of Research at NVIDIA 🚀 #finetuning #interview канала Dev In the Details