Easy High Protein Rice Pudding Recipe 🍚 Want a nice high protein dessert? Then save and try this rice pudding recipe! Ingredients: 1 cup cooked rice 1/2 cup unsweetened almond milk (or any milk you prefer) 1.5 scoops vanilla protein powder (I used @Legion) Cinnamon Monkfruit Instructions: 1. In a bowl, add rice, unsweetened almond milk, cinnamon and vanilla extract and mix 2. Then microwave for 2 minutes, stirring halfway 3. Add vanilla protein powder afterwards, monkfruit and more cinnamon and
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Easy High Protein Rice Pudding Recipe 🍚 Want a nice high protein dessert? Then save and try this rice pudding recipe! Ingredients: 1 cup cooked rice 1/2 cup unsweetened almond milk (or any milk you prefer) 1.5 scoops vanilla protein powder (I used @Legion) Cinnamon Monkfruit Instructions: 1. In a bowl, add rice, unsweetened almond milk, cinnamon and vanilla extract and mix 2. Then microwave for 2 minutes, stirring halfway 3. Add vanilla protein powder afterwards, monkfruit and more cinnamon and
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One of our company goals is to automate manual data entry from documents ✍️📑Our Extract feature in LlamaParse does exactly that, and today we are launching Extract v2 🚀 Define a schema in natural language, and our agentic extraction will fill out the schema from the document with both exact match citations and semantic inference.The v2 change includes:✅ Simplified tiers that vary from lower cost and higher accuracy✅ Pre-saved extract configurations so that you can load/share existing configs a
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One of our company goals is to automate manual data entry from documents ✍️📑Our Extract feature in LlamaParse does exactly that, and today we are launching Extract v2 🚀 Define a schema in natural language, and our agentic extraction will fill out the schema from the document with both exact match citations and semantic inference.The v2 change includes:✅ Simplified tiers that vary from lower cost and higher accuracy✅ Pre-saved extract configurations so that you can load/share existing configs a
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x.comJerry Liu
Extracting structured outputs with LLMs is easy. But doing large-scale extraction with precise citations and bounding boxes back to the source documents is way harder.With our latest release in LlamaExtract, we extract citation bounding boxes along with every single key and value within a document.You can see this in the UI. Hover over any k:v pair and you’ll be able to see the corresponding highlights in the source doc.If you’re a human reviewing a million docs (resumes, IDs, invoices, claims,
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Extracting structured outputs with LLMs is easy. But doing large-scale extraction with precise citations and bounding boxes back to the source documents is way harder.With our latest release in LlamaExtract, we extract citation bounding boxes along with every single key and value within a document.You can see this in the UI. Hover over any k:v pair and you’ll be able to see the corresponding highlights in the source doc.If you’re a human reviewing a million docs (resumes, IDs, invoices, claims,
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