Generative AI is one of the most exciting technologies of our time and is set to transform various industries by making interactions more engaging and seamless. Generative AI is based on four building blocks: Input, Preprocessing, Models, and training of Models to derive information. The visual presentation below is for easy understanding. Input (Text, Images, Audio, Video) works as data points that can be preprocessed in such a way that meaningful and clean data is being passed to the model for the training. Various methods for data preprocessing include tokenization, normalization, and augmentation, especially for the visual/audible contents. Companies like OpenAI, Google, Anthropic, etc. are creating the best of models which built on massive amounts of data and provide a seamless experience of the new era. Will continue with each of the Models and it's detailing in the coming posts.
There are a lot of free courses to start your journey with Generative AI. Below is the list of courses available. 1. Google Cloud This learning path provides an overview of generative AI concepts, from the fundamentals of large language models. This course is available with a Certificate. https://www.cloudskillsboost.google/paths/118 2. AWS A Learning Plan pulls together training content for a particular role or solution and organizes those assets from foundational to advanced. Use Learning Plans as a starting point to discover training that matters to you. https://explore.skillbuilder.aws/learn/public/learning_plan/view/1909/generative-ai-learning-plan-for-decision-makers 3. Deeplearning.ai Grow your AI career with foundational specializations and skill-specific short courses taught by leaders in the field. https://www.deeplearning.ai/courses/?courses_date_desc%5Bpage%5D=3 From Institutes 4. Center for Technology & M...