combined preference and supervised fine tuning with orpo
Published 3 months ago • 2.4K plays • Length 30:55Download video MP4
Download video MP3
Similar videos
-
54:39
very few parameter fine tuning with reft and lora
-
24:58
top ten fine tuning tips
-
15:35
fine-tuning llms with peft and lora
-
1:50:09
mastering retrieval for llms - bm25, fine-tuned embeddings, and re-rankers
-
1:07:40
multi gpu fine tuning with ddp and fsdp
-
33:34
mixtral fine tuning and inference
-
36:58
qlora—how to fine-tune an llm on a single gpu (w/ python code)
-
15:21
prompt engineering, rag, and fine-tuning: benefits and when to use
-
6:36
what is retrieval-augmented generation (rag)?
-
59:42
idefics 2 api endpoint, vllm vs tgi, and general fine-tuning tips
-
1:32
fine-tuning vs. instruction-tunning explained in under 2 minutes
-
2:33
soft touch probing for logic and protocol analyzers
-
43:40
fine-tuning on wikipedia datasets
-
7:09
afni command: uber_subject.py
-
44:35
live online demonstration - softexpert ppm suite - english
-
59:53
smart rag: domain-specific fine-tuning for end-to-end retrieval
-
59:37
data preparation tips and tricks
-
14:57
how to make accurate, automated rf wafer-level measurements