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728: Use Contrastive Search to get Human-Quality LLM Outputs episode artwork

EPISODE · Nov 3, 2023 · 5 MIN

728: Use Contrastive Search to get Human-Quality LLM Outputs

from Super Data Science: ML & AI Podcast with Jon Krohn · host Jon Krohn

Learn how to achieve human-like outputs from LLMs in this week’s Five-Minute Friday with Jon Krohn. Understand the various current methods available to decode and generate text, as well as the differences between them. Find out about greedy search, beam search, sampling, and contrastive search, and how you can use them to create incredibly useful LLMs.Additional materials: www.superdatascience.com/728Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

What this episode covers

Learn how to achieve human-like outputs from LLMs in this week’s Five-Minute Friday with Jon Krohn. Understand the various current methods available to decode and generate text, as well as the differences between them. Find out about greedy search, beam search, sampling, and contrastive search, and how you can use them to create incredibly useful LLMs.Additional materials: www.superdatascience.com/728Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

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728: Use Contrastive Search to get Human-Quality LLM Outputs

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Frequently Asked Questions

How long is this episode of Super Data Science: ML & AI Podcast with Jon Krohn?

This episode is 5 minutes long.

When was this Super Data Science: ML & AI Podcast with Jon Krohn episode published?

This episode was published on November 3, 2023.

What is this episode about?

Learn how to achieve human-like outputs from LLMs in this week’s Five-Minute Friday with Jon Krohn. Understand the various current methods available to decode and generate text, as well as the differences between them. Find out about greedy search,...

Can I download this Super Data Science: ML & AI Podcast with Jon Krohn episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.
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