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Episode 64: Improve your LLM Prompts: Decoding the TELeR Taxonomy with Santu Karmaker and Dongji Feng

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Manage episode 391170057 series 2577022
Content provided by Sean Ammirati. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Sean Ammirati or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Episode description:

In this episode, we sit down with Santu Karmaker and Dongji Feng, creators of the TELeR Taxonomy. This pivotal framework is revolutionizing the way computer scientists benchmark complex tasks in Large Language Models (LLMs). Our conversation goes beyond the academic realm as we explore how the TELeR Taxonomy is not just a theoretical construct but a practical tool. I've personally leveraged this taxonomy to significantly enhance the prompts I'm crafting. Whether you're a researcher, developer, or just LLM-curious, this episode promises to offer valuable perspectives and strategies. As many of you know, I've frequently referenced the TELeR Taxonomy in past discussions. Now, I'm thrilled to offer you a firsthand account from the creators themselves. Prepare to be enlightened by their journey and vision for the future of LLMs.

Show links:

Access the TELeR Taxonomy paper here: https://arxiv.org/abs/2305.11430

  continue reading

69 episodes

Artwork
iconShare
 
Manage episode 391170057 series 2577022
Content provided by Sean Ammirati. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Sean Ammirati or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Episode description:

In this episode, we sit down with Santu Karmaker and Dongji Feng, creators of the TELeR Taxonomy. This pivotal framework is revolutionizing the way computer scientists benchmark complex tasks in Large Language Models (LLMs). Our conversation goes beyond the academic realm as we explore how the TELeR Taxonomy is not just a theoretical construct but a practical tool. I've personally leveraged this taxonomy to significantly enhance the prompts I'm crafting. Whether you're a researcher, developer, or just LLM-curious, this episode promises to offer valuable perspectives and strategies. As many of you know, I've frequently referenced the TELeR Taxonomy in past discussions. Now, I'm thrilled to offer you a firsthand account from the creators themselves. Prepare to be enlightened by their journey and vision for the future of LLMs.

Show links:

Access the TELeR Taxonomy paper here: https://arxiv.org/abs/2305.11430

  continue reading

69 episodes

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