https://community.databricks.com/t5/generative-ai/what-is-the-difference-between-full-fine-tuning-lora-and-p/m-p/141105#M1496 <H3><STRONG>How are these three methods different?</STRONG></H3><P>Full Fine-Tuning<BR />LoRA<BR />P-Tuning</P> Thu, 04 Dec 2025 06:47:18 GMT Suheb 2025-12-04T06:47:18Z https://community.databricks.com/t5/generative-ai/what-is-the-difference-between-full-fine-tuning-lora-and-p/m-p/141105#M1496 <H3><STRONG>How are these three methods different?</STRONG></H3><P>Full Fine-Tuning<BR />LoRA<BR />P-Tuning</P> Thu, 04 Dec 2025 06:47:18 GMT https://community.databricks.com/t5/generative-ai/what-is-the-difference-between-full-fine-tuning-lora-and-p/m-p/141105#M1496 Suheb 2025-12-04T06:47:18Z https://community.databricks.com/t5/generative-ai/what-is-the-difference-between-full-fine-tuning-lora-and-p/m-p/141117#M1497 <P>Hi&nbsp;<a href="https://community.databricks.com/t5/user/viewprofilepage/user-id/194685">@Suheb</a>&nbsp;</P><P><STRONG>Summary Table:</STRONG></P><P>Method What’s Tuned Speed/Cost Flexibility Use Case</P><TABLE><TBODY><TR><TD>Full Fine-Tuning</TD><TD>All model weights</TD><TD>Slow/High</TD><TD>Maximum</TD><TD>Custom tasks, large data</TD></TR><TR><TD>LoRA</TD><TD>Small adapter layers</TD><TD>Fast/Low</TD><TD>High</TD><TD>Efficient adaptation</TD></TR><TR><TD>p-tuning</TD><TD>Prompt embeddings</TD><TD>Fastest/Low</TD><TD>Limited</TD><TD>Prompt-based tasks</TD></TR></TBODY></TABLE> Thu, 04 Dec 2025 08:49:15 GMT https://community.databricks.com/t5/generative-ai/what-is-the-difference-between-full-fine-tuning-lora-and-p/m-p/141117#M1497 saurabh18cs 2025-12-04T08:49:15Z