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7 results for “prompt engineering”
Topic2 mentions across episodes
Prompt Engineering
...prompt engineering because you're getting it to improve its output over the course of a conversation.
8:59 / 10:05
from transcript8:59 – 10:05
...prompt engineering well. Awesome. I'm in that bucket too. I just find there's so much value in getting better at this stuff. And the stuff we're gonna talk about is not that hard to start to put some of these things in practice. Another quick context
8:16 / 9:27
from transcript8:16 – 9:27
...engineering is kind of a subset of context engineering. I think when we kinda move from chat models and chat interactions to agents, there's a big shift that occurred. So with chat models, working with chat g p t, the human message is really the prim
1:34 / 2:38
from transcript1:34 – 2:38
“How do we reduce the friction of adoption? So how do we make the platform way easier? How do we abstract away all this complexity around LLM selection, evaluation, prompt engineering, all the different data providers that have to get orchestrated?”
...evaluation, prompt engineering, all the different data providers that have to get orchestrated and brought in to make these workflow? Right? We're talking about hundreds of them.
23:49 / 24:21
Practical Framework23:49 – 24:21
...idea of prompt engineering that people have talked about. And somebody, it wasn't Carpathi, but Carpathi piled on top of this. It's really not about prompt engineering, it's context engineering. And so what is context engineering? So if you're gonna
29:52 / 31:11
from transcript29:52 – 31:11
...there is less prompt engineering than there had to be before. But, in line with some of the fine tuning stuff I was talking about and the importance of giving examples, you can do, like, you know, effectively poor man's fine tuning by including examp
1:27:00 / 1:28:07
from transcript1:27:00 – 1:28:07
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