Calculate meal nutrition

ChatGPT is a powerful language model that can assist in calculating the nutrition of a meal. By analyzing the ingredients in a meal, ChatGPT can generate a detailed report that includes information about the calories, macronutrients, vitamins, and minerals present in the meal. With its advanced natural language processing capabilities, ChatGPT can understand and interpret complex ingredient lists and provide accurate nutrition information in a matter of seconds.

Productivity

Prompts

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Prompt # 1
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"Please provide a comprehensive breakdown of the nutritional constituents including macronutrients (carbohydrates, proteins, fats), micronutrients (vitamins, minerals), fiber content, and calorie count for a meal composed of the following ingredients: [LIST OF INGREDIENTS]. Additionally, indicate any potential allergens present in these ingredients and suggest potential dietary adjustments to accommodate common dietary restrictions (e.g., gluten-free, vegan, low sodium)."

Prompt # 2
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"Can you provide me with a detailed report on the nutrition of a meal that includes [INGREDIENTS]? Please include information on the calories, macronutrients, vitamins, and minerals."

Prompt # 3
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"I'm looking for foods that are high in [NUTRIENT]. Can you suggest some options?"

Prompt # 4
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"I'm following a [DIET TYPE] diet. Can you provide me with a list of foods that are compliant with this diet?"

Prompt # 5
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"What are some healthy options for a meal that includes [INGREDIENTS]? Please include information on the nutritional value and recommended portion sizes."

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Tips

Follow these guidelines to maximize your experience and unlock the full potential of your conversations with Mate Chat.
Experiment with different prompt formats: The format of the prompt can have a big impact on the quality of the generated text. Experimenting with different prompts can help you understand what works best for your specific use case.
Play around with the temperature and top-k hyperparameters: These hyperparameters control the level of randomness and diversity in the generated text. Experimenting with different values can help you find the sweet spot that works best for your specific use case.
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