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This episode is about HubSpot and provides a comprehensive overview of large language models (LLMs) and how business owners can leverage their power. The guide outlines four levels of LLM usage: prompt engineering, prompt engineering with APIs, fine-tuning, and building your LLM.
It emphasizes the importance of input and output, highlighting how well-crafted prompts lead to better results. The guide also explores techniques like few-shot, chain-of-thought, and self-consistency prompting to improve LLM performance. Finally, it discusses the cost and benefits of each level and emphasizes that even small businesses can benefit from using LLMs to automate tasks, analyze data, and generate content.
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Podcast:
https://kabir.buzzsprout.com
YouTube:
https://www.youtube.com/@kabirtechdives
Please subscribe and share.
This episode is about HubSpot and provides a comprehensive overview of large language models (LLMs) and how business owners can leverage their power. The guide outlines four levels of LLM usage: prompt engineering, prompt engineering with APIs, fine-tuning, and building your LLM.
It emphasizes the importance of input and output, highlighting how well-crafted prompts lead to better results. The guide also explores techniques like few-shot, chain-of-thought, and self-consistency prompting to improve LLM performance. Finally, it discusses the cost and benefits of each level and emphasizes that even small businesses can benefit from using LLMs to automate tasks, analyze data, and generate content.
Send us a text
Podcast:
https://kabir.buzzsprout.com
YouTube:
https://www.youtube.com/@kabirtechdives
Please subscribe and share.