91. LLMのアウトプット精度を上げるプロンプトテクニック

from Today I Learned -シリコンバレーの現場から- · host Software Developers in SiliconValley

LLMのアウトプットやパフォーマンスを向上するためのプロンプトテクニックについて学んだことを話しました。 Everything I’ll forget about prompting LLMs https://olickel.com/everything-i-know-about-prompting-llms He created Stanford’s Deep Learning class. (Stack Overflow Podcast) https://open.spotify.com/episode/0R65mdJbashDQKpUJ6kX9i プロンプトエンジニアリングってソフトウェア開発？と感じるあなたへ ~ LLM開発とソフトウェア開発の違いの話 Your co-hosts: Tomoaki Imai, Knot, inc CTO https://twitter.com/tomoaki_imai Ryoichi Kato, Software Engineer ⁠https://twitter.com/ryo1kato

Episode metadata supplied by the publisher feed · Published Jan 21, 2024

Embed this episode

Attribution link and audio player

NOW PLAYING

91. LLMのアウトプット精度を上げるプロンプトテクニック

0:00 31:05

1×

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

Share this episode

Similar Episodes

No similar episodes found.

Similar Podcasts

No similar podcasts found.

Frequently Asked Questions

How long is this episode of Today I Learned -シリコンバレーの現場から-?

This episode is 31 minutes long.

When was this Today I Learned -シリコンバレーの現場から- episode published?

This episode was published on January 21, 2024.

Can I download this Today I Learned -シリコンバレーの現場から- episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.

URL copied to clipboard!