Generative Artificial Intelligence (Generative AI) is a branch of artificial intelligence that focuses on creating new data, such as text, images, audio, and video. It relies on machine learning models that have been trained on large amounts of data.
Generative AI has significant potential to revolutionize a wide range of industries, from advertising and marketing to education and healthcare.
However, this technology is still in its early stages of development, and there is much to learn about it.
Andrew Ng, the founder of DeepLearning.AI, is one of the leading experts in AI worldwide. In an effort to promote learning and understanding of this emerging technology, Ng is offering six new free courses on Generative AI.
These courses, offered in collaboration with companies like Cohere, Hugging Face, Weights & Biases, and Google Cloud, are aimed at beginners and can be completed in one or two hours.
Cursos relacionados
In the first course, “Large Language Models with Semantic Search,” participants will learn how to use large language models (LLMs) to enhance search systems. LLMs can understand the meaning of words and phrases, enabling them to generate more relevant search results.
In the second course, “Finetuning Large Language Models,” participants will learn how to fine-tune LLMs to suit their specific needs.
Fine-tuning can improve the performance of LLMs in various tasks, such as text generation, language translation, and question answering.
In the third course, “Building Generative AI Applications with Gradio,” participants will learn to create generative AI applications using Gradio, a Python library.
Gradio allows the creation of interactive user interfaces (UI) for AI models, making them more user-friendly.
In the fourth course, “Evaluating and Debugging Generative AI Models Using Weights and Biases,” participants will learn how to evaluate and debug generative AI models.
They will learn to use Weights and Biases tools to track model performance and detect issues.
In the fifth course, “Understanding and Applying Text Embeddings with Vertex AI,” participants will learn how to use text embeddings for natural language processing (NLP) tasks.
Text embeddings are numerical representations of words and phrases that can be used for tasks such as text classification and text generation.
In the sixth course, “How Business Thinkers Can Start Building AI Plugins With Semantic Kernel,” participants will learn to use the Semantic Kernel to create AI plugins for their applications.
The Semantic Kernel is an open-source AI orchestration platform that allows developers to quickly and easily build AI applications.
Andrew Ng’s courses on Generative AI provide an excellent opportunity to learn about this emerging technology. The courses are free and can be completed in one or two hours, making them an ideal option for those who want to learn about Generative AI without investing a significant amount of time or money.
In my opinion, these courses are a valuable contribution to the AI community. They are an excellent way to learn about this emerging technology and develop the skills needed to harness its potential.
I hope these courses will help promote learning and understanding of Generative AI and contribute to the creation of a new generation of specialists in this field.
