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Optimization in Python using Simulated Annealing
Simulated Annealing is like a fancy algorithm that helps us find the best solution for problems with lots of variables. It works by simulating…
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BERT Model Configuration
First off, we have the `BertConfig` class which contains all of the parameters that make up our model. This includes things like the number…
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Training Reader Model for Large Datasets using a Single GPU Server
To start, what is training and why do we need it? Training is the process of feeding our machine learning algorithm all sorts of…
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Transformers in NLP and AI
This is a fancy way of saying that we can use computers to understand human language, which is pretty cool if you ask me.…
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Exploring GPT-4 API
Basically, it’s a tool that uses artificial intelligence to generate human-like responses to your prompts or questions. It can write code for you, review…
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Custom Text Completion with GPT-2
It uses an AI model called GPT-2 (which stands for Generative Pretrained Transformer 2) to generate new text that’s similar in style and content…
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Transformers for NLP 2nd Edition: Getting Started with GPT-4
Let me break it down for ya. GPT-4 is a powerful language model that uses transformer architecture to generate human-like responses based on given…
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Transformers for NLP 2nd Edition – Chapter 17: Getting Started with ChatGPT
I want a more detailed explanation with examples that are easy to understand. Let’s make it fun and casual, alright? ️ Original Transformers for…
