The Future of AI
Google has announced significant updates to its Gemini models, aimed at making advanced AI capabilities more accessible and cost-effective for developers worldwide. Two new production-ready models: Gemini-1.5-Pro-002 and Gemini-1.5-Flash-002, feature major improvements in speed and performance. Key Updates: Price reduction: a 64% reduction in input token prices, 52% in output tokens, and 64% in incremental … Read more
Most people with valuable skills don’t make nearly as much money as they could. For example, most people who are good at writing emails will settle for $50-$80k per year. Meanwhile, Daniel uses his skill of writing cold emails to earn $6 million per year. Your skills could be worth millions too… if you follow the right playbook. … Read more
In this content, we dive into the difference between Python lists vs tuples. Table of Contents: Python Lists vs Tuples Both lists and tuples are fundamental data structures used to store collections of items. While they may seem similar at first glance, as they both allow storing multiple values in a single variable, they have … Read more
When the ML model is trained on AI that automatically categorizes items under pre-set categories, you can quickly convert casual browsers into customers. Text Classification Process The text classification process starts with pre-processing, feature selection, extraction, and classifying data. Pre-Processing Tokenization: Text is broken down into smaller and simpler text forms for easy classification. Normalization: … Read more