Bhavesh Bhatt

Learn how to build a powerful review classification script using Python, Meta's Llama 3.1 405B language model, and GitHub Models in just minutes! In this tutorial, we'll dive deep into the world of natural language processing (NLP) and show you how to harness the incredible capabilities of Llama 3.1 405B, a state-of-the-art large language model (LLM) developed by Meta AI. We'll leverage the user-friendly platform of GitHub Models to streamline the process and create a robust review classification model.

In this video, I share my experience of passing the GitHub Actions certification exam. I'll walk you through the exam process, the skills you need to know, and some tips for success! If you're looking to become a certified pro in authoring, consuming, and managing workflows within GitHub, you're in the right place.

I spoke about how GitHub has helped me create a successful Portfolio

Excited to share that I've recently earned the GitHub Actions certification!

In this video, I will show you how to use GitHub Codespaces and GitHub Copilot to code Python like a pro. GitHub Codespaces is a new feature that allows you to create and run codespaces, which are fully-featured development environments running in the cloud. GitHub Copilot is an AI pair programmer that can help you write code faster and more efficiently.

I spoke about how one use models on TensorFlow Hub and retrain the models using GitHub Actions.

This talk is designed to introduce college students to the powerful tools of TensorFlow Hub, Python, and Open Source Collaboration through GitHub. Attendees will learn how to leverage TensorFlow Hub to build more robust and efficient machine learning models, utilizing the power of Python for seamless integration and customization. Additionally, this talk will explore the benefits of open source collaboration via GitHub, enabling attendees to share their AI projects with the world and benefit from the contributions of others. Through practical examples and expert guidance, attendees will come away with a comprehensive understanding of how these tools can enhance their AI projects and help them to achieve their goals.

I gave an introductory talk to college students on Data Science, Machine Learning. I also explained the importance of contributing to open source via GitHub for overall career progress.