fine-tuning gpt-3
Published 2 years ago • 473 plays • Length 2:53Download video MP4
Download video MP3
Similar videos
-
0:48
what is supervised fine-tuning?
-
13:14
670: llama: gpt-3 performance, 10x smaller — with jon krohn (@jonkrohnlearns)
-
3:54
accessing gpt-3 via the openai api
-
8:03
gpt4all 3.0: the ai sensation that's taking over the internet! (and it's free)
-
8:11
gpt-4 just did 85% of my work for me (why you shouldn't use it)
-
12:13
leta, gpt-3 ai - episode 55 (future, sonantic, understanding, compassion) - conversations with gpt3
-
5:11
674: parameter-efficient fine-tuning of llms using lora (low-rank adaptation) — with jon krohn
-
1:26:04
sds 559: gpt-3 for natural language processing — with melanie subbiah
-
12:45
768: is claude 3 better than gpt-4? — with jon krohn (@jonkrohnlearns)
-
3:49
"thinking, fast and slow" for a.i.
-
8:51
better to use an a.i. api or create your own a.i. model?
-
7:25
650: sparsegpt: remove 100 billion parameters but retain 100% accuracy — with jon krohn
-
2:37
people are confusing "neurons" and "parameters" in llms
-
11:46
666: gpt-4 — with jon krohn (@jonkrohnlearns)
-
8:59
closed-source vs. open-source ai development
-
11:29
678: stablelm: open-source "chatgpt"-like llms you can fit on one gpu — with @jonkrohnlearns
-
3:37
the 3 steps of llm training
-
16:43
672: open-source "chatgpt": alpaca, vicuña, gpt4all-j, and dolly 2.0 — with @jonkrohnlearns
-
1:00
bert vs gpt