Free From Google: Generative AI Studying Path
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Are you interested by discovering the potential of Generative AI Fashions and their functions? Fortunately, Google Cloud launched the Generative AI Studying Path, an important assortment of free programs, that begin from explaining the fundamental ideas of Generative AI to extra subtle instruments, like Generative AI Studio to construct your custom-made generative AI fashions.
This text will discover seven of the obtainable programs, that may help you perceive the ideas behind the Massive Language Fashions that encompass us each day and create new AI options. Let’s get began!
Course hyperlink: Introduction to Generative AI
This primary course is an introduction to Generative AI by Dr Gwendolyn Stripling, an AI Technical Curriculum Developer at Google Cloud. It’s going to make you be taught what Generative AI is and the way it’s utilized. It begins with the fundamental ideas of information science (AI, Machine Studying, Deep Studying), and the way Generative AI is completely different from these disciplines. Furthermore, it explains the important thing ideas that encompass Generative AI with very intuitive illustrations, equivalent to transformers, hallucinations and Massive Language Fashions.
Video period: 22 minutes
Lecturer: Gwendolyn Stripling
Advised readings:
Course hyperlink: Introduction to Large Language Models
This second course goals to introduce what Language Fashions are at a excessive stage. Particularly, it offers examples of LLM functions, like textual content classification, query answering and doc summarization. In the long run, it exhibits the potential of Google’s Generative AI Improvement instruments to construct your functions with no code.
Video period: quarter-hour
Lecturer: John Ewald
Advised readings:
Course hyperlink: Introduction to Image Generation
This third course focuses on explaining crucial diffusion fashions, a household of fashions that generate photos. A few of the most promising approaches are Variational Autoencoders, Generative Adversarial Fashions and Autoregressive Fashions.
It additionally exhibits the use instances that may be categorized into two sorts: unconditioned era and conditioned era. The primary contains human face synthesis and super-resolution as functions, whereas examples of conditioned era are the era of photos from a textual content immediate, the picture inpainting and the text-guided image-to-image.
Video period: 9 minutes
Lecturer: Kyle Steckler
Course hyperlink: Attention Mechanism
On this brief course, you’ll be taught extra in regards to the consideration mechanism, which is a vital idea behind transformers and Massive Language Fashions. It has enabled bettering duties, equivalent to machine translation, textual content summarization and query answering. Particularly, it exhibits how the eye mechanism works to resolve the machine translation.
Video period: 5 minutes
Lecturer: Sanjana Reddy
Course hyperlink: Transformer Models and BERT Model
This course covers transformer structure, which is an underlying idea behind the BERT mannequin. After explaining the transformer, it offers an outline of BERT and the way it’s utilized to resolve completely different duties, equivalent to single-sentence classification and query answering.
In another way from the earlier programs, the idea is accompanied by a laboratory, which requires prior information of Python and TensorFlow.
Video period: 22 minutes
Lecturer: Sanjana Reddy
Advised readings:
Course hyperlink: Create Image Captioning Models
This course goals to clarify the Picture Captioning Fashions, that are generative fashions that produce textual content captions by taking photos as enter. It exploits an encoder-decoder construction, consideration mechanism and transformer to resolve the duty of predicting a caption for a given picture. Just like the earlier course, there may be additionally a laboratory to place the idea into observe. It’s once more oriented towards information professionals with prior information in Python and Tensorflow.
Video period: 29 minutes
Lecturer: Takumi Ohyama
Course hyperlink: Introduction to Generative AI Studio
This final course introduces and explores Generative AI Studio. It begins by explaining once more what Generative AI is and its use instances, equivalent to code era, data extraction and digital help. After giving an outline of those core ideas, Google Cloud exhibits the instruments that assistance on fixing Generative AI duties even with out an AI background. One in all these instruments is Vertex AI, which is a platform that allows to handle the machine studying cycle, from constructing to the deployment of the machine mannequin. This end-to-end platform contains two merchandise, Generative AI Studio and Mannequin Backyard. The course is targeted on explaining Generative AI Studio, which permits to construct simply generative fashions with no code or low code.
Video period: quarter-hour
Advised readings:
I hope that you’ve discovered helpful this quick overview of the Generative AI course offered by Google Cloud. Should you don’t know the place to start out in understanding the core ideas of Generative AI, this path covers each side. In case you’ve got already a machine studying background, there are certainly fashions and use instances you’ll be able to uncover from one in all these programs. Are you aware different free programs about Generative AI? Drop them within the feedback in case you have insightful solutions.
Eugenia Anello is at the moment a analysis fellow on the Division of Data Engineering of the College of Padova, Italy. Her analysis undertaking is targeted on Continuous Studying mixed with Anomaly Detection.
