41 min
Episode 64: Improve your LLM Prompts: Decoding the TELeR Taxonomy with Santu Karmaker and Dongji Feng Agile Giants: Lessons from Corporate Innovators
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- Business
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
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
41 min