{"href":"https://api.simplecast.com/oembed?url=https%3A%2F%2Fcountingsandshow.com%2Fepisodes%2Fai-hot-sauce-brothers-part-2-O7NBAc62","width":444,"version":"1.0","type":"rich","title":"AI Hot Sauce Brothers Part 2","thumbnail_width":300,"thumbnail_url":"https://image.simplecastcdn.com/images/3edd6bd6-e29d-4843-9c89-43ddf8ce533f/9d4c9219-abca-46c4-8866-f898147633ef/counting-sand-podcast3k.jpg","thumbnail_height":300,"provider_url":"https://simplecast.com","provider_name":"Simplecast","html":"<iframe src=\"https://player.simplecast.com/124f9b54-9b43-43e5-8b6c-1b320a3b420d\" height=\"200\" width=\"100%\" title=\"AI Hot Sauce Brothers Part 2\" frameborder=\"0\" scrolling=\"no\"></iframe>","height":200,"description":"Angelo and Shohaib discuss the process of introducing new ingredients into hot sauce production using AI. They explore different approaches, such as creating new models or expanding the feature space. They also discuss the concept of transfer learning and whether to build upon an existing model or start from scratch. They highlight the benefits of using metaphors, like hot sauce, to explain complex concepts in a more tangible and relatable manner. Shekeib, who is less familiar with the technical aspects, appreciates the ability to understand and learn through these analogies. The conversation touches on the broader field of AI, including topics like Bayesian optimization, neural networks, reinforcement learning, and generative pre-trained transformers. Angelo expresses excitement about discussing mathematical concepts in a way that can engage a wider audience. "}