Send us a text Ever wondered how cycling from London to Paris could inspire an in-depth discussion about AI? Join us as Marc shares his scenic adventure along the charming Avenue Vert, setting the stage for a captivating exploration into the world of open-source large language models (LLMs). Christian and Marc delve into the heart of AI, examining the strengths and limitations of open models like Mistral, Meta's Llama, and Google's Gemma compared to closed systems such as GPT, Gemini or Claud...
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Send us a text Ever wondered how cycling from London to Paris could inspire an in-depth discussion about AI? Join us as Marc shares his scenic adventure along the charming Avenue Vert, setting the stage for a captivating exploration into the world of open-source large language models (LLMs). Christian and Marc delve into the heart of AI, examining the strengths and limitations of open models like Mistral, Meta's Llama, and Google's Gemma compared to closed systems such as GPT, Gemini or Claud...
#24 - Asking Your Data the Right Question with David Sigerson
The Data Coffee Break Podcast
42 minutes
2 years ago
#24 - Asking Your Data the Right Question with David Sigerson
Send us a text In this episode, Marc and Christian are joined by David Sigerson to explore the critical role of asking the right questions in data-driven decision-making and data literacy, the evolution of Machine Learning models, and the importance of focusing on business problems rather than technology. Are you looking to hone your data-driven skills become more data literate. and understand the difference between statistics and machine learning models? Then this episode is for you! ...
The Data Coffee Break Podcast
Send us a text Ever wondered how cycling from London to Paris could inspire an in-depth discussion about AI? Join us as Marc shares his scenic adventure along the charming Avenue Vert, setting the stage for a captivating exploration into the world of open-source large language models (LLMs). Christian and Marc delve into the heart of AI, examining the strengths and limitations of open models like Mistral, Meta's Llama, and Google's Gemma compared to closed systems such as GPT, Gemini or Claud...
