rlhf reimagined
Published 5 months ago • 122 plays • Length 0:56Download video MP4
Download video MP3
Similar videos
-
0:57
the mixture of expert approaches: a promising way for creating smaller llms
-
0:59
building agents? you need to have a testing suite!
-
1:12:50
811: scaling data science teams effectively — with nick elprin
-
8:39
ai/ml engineer path - the harsh truth
-
7:19
exploring stability ai's new open source language model (stablelm)
-
0:53
do your own research before choosing llm models from other vendors
-
11:29
678: stablelm: open-source "chatgpt"-like llms you can fit on one gpu — with @jonkrohnlearns
-
0:59
#shorts vicuña: how the revolutionary llm came to be
-
1:00
#shorts how world models blend generative ai with reinforcement learning
-
29:40
818: in case you missed it in august 2024 — with jon krohn (@jonkrohnlearns)
-
0:57
how to encourage open distribution of ai models
-
0:58
five core ingredients of large language models (llms)
-
1:00
the easy way to learn llms
-
1:00
how will models like gpt series and gemini, transform the role of data scientists?
-
0:25
#short 3 major challenges with long contexts
-
0:53
2024 data science trends prediction #2: llms as operating systems
-
0:57
#shorts how to roll out large language models thoughtfully
-
0:59
the importance of lifelong learning for building better llms
-
1:27:11
sds 429: 2020's biggest data science breakthroughs — with jon krohn
-
0:59
#shorts what is creative general intelligence?
-
0:59
#shorts 2 ways to make your ml model resilient