llm2 module 2 - efficient fine-tuning | 2.3 peft and soft prompt
Published 10 months ago • 6.3K plays • Length 13:27Download video MP4
Download video MP3
Similar videos
-
16:52
llm2 module 2 - efficient fine-tuning | 2.7 notebook
-
6:17
llm2 module 2 - efficient fine-tuning | 2.4 re-parameterizaion: lora
-
1:52
llm2 module 2 - efficient fine-tuning | 2.5 peft limitations
-
12:06
llm2 module 2 - efficient fine-tuning | 2.2 module overview
-
3:51
llm2 module 2 - efficient fine-tuning | 2.1 introduction
-
15:35
fine-tuning llms with peft and lora
-
5:45
llm2 module 2 - efficient fine-tuning | 2.6 data preparation best practices
-
24:11
fine-tuning llms with peft and lora - gemma model & huggingface dataset
-
3:19:26
gen ai course | gen ai tutorial for beginners
-
30:18:02
generative ai full course – gemini pro, openai, llama, langchain, pinecone, vector databases & more
-
1:03:07
prompt tuning explained
-
28:13
prompt optimization and parameter efficient fine tuning
-
58:26
a guide to parameter-efficient fine-tuning - vlad lialin | munich nlp hands-on 021
-
5:45
peft fine tuning - parameter efficient fine tuning methods
-
3:51
llm module 4: fine-tuning and evaluating llms | 4.8 dolly
-
15:18
llm module 4: fine-tuning and evaluating llms | 4.13.1 notebook demo part 1
-
2:25
llm module 4: fine-tuning and evaluating llms | 4.1 introduction
-
31:11
llm module 4: fine-tuning and evaluating llms | 4.13.2 notebook demo part 2