If you are anything like us, for 36 hours your Twitter and LinkedIn feeds were set ablaze by claims that Llama 3 is the greatest LLM since sliced bread. But how do we know that is actually the case? How do we separate the hype and noise from the reality? On what basis can we credibly claim that one LLM is better than another?On this episode of The Prompt Desk, Justin Macorin and I brought on LLM expert Maxime Labonne, who has developed the open-source package LLM-autoeval. In the episode, he shares with us the techniques researchers are using to compare and contrast different LLM models.Check out the LLM-autoeval Github here: https://github.com/mlabonne/llm-autoevalFind Maxime Labonne on LinkedIn here: https://www.linkedin.com/in/maxime-labonne/Follow Maxime on Twitter here: https://twitter.com/maximelabonne?lang=en—Continue listening to The Prompt Desk Podcast for everything LLM & GPT, Prompt Engineering, Generative AI, and LLM Security.Check out PromptDesk.ai for an open-source prompt management tool.Check out Brad’s AI Consultancy at bradleyarsenault.meAdd Justin Macorin and Bradley Arsenault on LinkedIn.Please fill out our listener survey here to help us create a better podcast: https://docs.google.com/forms/d/e/1FAIpQLSfNjWlWyg8zROYmGX745a56AtagX_7cS16jyhjV2u_ebgc-tw/viewform?usp=sf_linkHosted on Ausha. See ausha.co/privacy-policy for more information.

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