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Calculating parameters and what does that mean - straight from Chat GPT

 This is a question from Chat GPT and Sebastain's book on large language models from scratch. First, this data is interesting. 124 Million parameters GPT_CONFIG_124M = {     "vocab_size": 50257,     # Vocabulary size     "context_length": 1024,  # Context length     "emb_dim": 768,          # Embedding dimension     "n_heads": 12,           # Number of attention heads     "n_layers": 12,          # Number of layers     "drop_rate": 0.1,        # Dropout rate     "qkv_bias": False        # Query-Key-Value bias } The 1.5 billion parameter GPT model config  GPT_CONFIG_1558M = {     "vocab_size": 50257,     # Vocabulary size     "context_length": 1024,  # Context length     "emb_dim": 1600,         # ...
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Mushroom Gravy Recipe from Chat GPT

 From Chat GPT. To make a lightweight thin mushroom gray sauce in a crockpot, you're likely aiming for a smooth, savory mushroom-based gravy that can be used as a sauce or topping. Here's a simple recipe to make mushroom gravy in a crockpot: Ingredients: 2 cups fresh mushrooms (such as cremini or button), sliced 1 medium onion, finely chopped 2 cloves garlic, minced 2 tablespoons butter or olive oil 1 cup vegetable broth (or chicken broth for non-vegetarian option) 1 cup milk or heavy cream (for a lighter version, use milk or a non-dairy option) 2 tablespoons flour (or cornstarch for a gluten-free version) 1 teaspoon soy sauce (optional, for umami) Salt and pepper to taste Fresh thyme or rosemary (optional) Instructions: Sauté the Aromatics (Optional): In a pan, melt the butter or heat the olive oil over medium heat. Add the chopped onions and cook for 3-4 minutes until soft. Add the garlic and cook for another 1-2 minutes until fragrant. Prepare the Mushroom Base: Place the sl...
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Random thoughts on AI

 Random AI Thoughts Posts - things I am looking at: scale ai Pinecone Perplexity Notion Hebbia Character AI --- web server web client stand alone -    limited html and http - validates your html and shit   very strict     -- tomcat based      -- my own ML-From-Scratch Description: This repository provides implementations of various machine learning algorithms from scratch in Python, without using libraries like Scikit-learn. It's educational and shows how algorithms like k-means clustering, decision trees, and linear regression work under the hood. Repository: ML-From-Scratch on GitHub You-Get Description: A simple and powerful tool for downloading media files from the web. It uses machine learning for analyzing and categorizing the downloaded media. Features: Supports various media sites, custom download options, and automated media organization. 3. OpenAI Gym Description: A toolkit for developing and comparing reinforcement learning algorit...
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