
Explore GitHub Copilot Labs, a VS code extension for experimental machine-learning features like code explanation, language translation, brushes, and test generation that enhance developer experience.
Develop real-time Node.js APIs with GitHub Copilot and Google Bard to generate OpenAI API code, create a post API, and test with Express router and front-end calls.
Example link: https://colab.research.google.com/drive/1UD9wSD1gLINMthMf4FQzpiSa2dzFjraf?usp=sharing
Vector embeddings convert data such as words, sounds, and images into high-dimensional numeric vectors, enabling similarity-based retrieval and storage in a vector database for ML and NLP tasks.
Learn the basics of fine tuning llm models with Hugging Face, create and store vector embeddings in Pinecone, and train using Colab notebooks with training and validation data.
In today's world, Artificial Intelligence (AI) is revolutionizing the way we work and live. One area where AI has made a significant impact is in software development, where it has enabled developers to create innovative applications and systems faster than ever before.
This comprehensive course, "Become an AI-Powered Engineer: ChatGPT, Github Copilot, and Copilot Labs” is designed to help developers learn how to leverage AI tools to streamline their development process. The course covers three popular AI tools: ChatGPT, GitHub Copilot, and Copilot Labs.
First, students will learn how to use ChatGPT, a language model developed by OpenAI, to generate high-quality code snippets and complete code blocks. They will learn how to integrate ChatGPT with their favorite IDEs and text editors, such as VS Code and Sublime Text.
Next, the course covers GitHub Copilot, an AI-powered code assistant that uses machine learning to suggest code as developers type. Students will learn how to set up and use GitHub Copilot with popular programming languages such as Python, JavaScript, and C#.
Finally, the course covers Copilot Labs, an open-source initiative that aims to create powerful AI tools for developers. Students will learn how to contribute to Copilot Labs and use the tools developed by the community.
Throughout the course, students will work on real-world projects and learn how to integrate AI tools into their development workflow. They will gain an understanding of how it can be used to improve software development.
By the end of the course, students will have the skills and knowledge needed to use ChatGPT, GitHub Copilot, and Copilot Labs to streamline their development process, increase productivity, and build innovative applications faster than ever before.