Advanced AI

In this video I am going show you how to create your own Instagram bot using python. It will be a combination of bots such as Instagram follow/unfollow bot, Instagram dm bot, Instagram comment bot, like bot and upload photo bot. So just by writing few lines of code, we are going to do Instagram automation with python and use a python package name instabot Timestamps: 0:00 - Instagram bot python introduction - Instagram Automation 0:26 - Prerequisite 0:57 - Install instabot python package 1:51 - Intagram login 2:37 - Instagram follow and unfollow 5:44 - Instagram post (upload photo) 6:36 - Instagram dm bot (send message) 7:20 - Instagram like bot (like a post) 7:52 - Instagram comment bot (comment on a post) 9:39 - Get the list of followers/following 12:56 - Fixing some errors 14:21 - Final result after running the Instagram bot Python and VSCode download link:

Instabot python package docs:

🏆 SOTA for Question Answering on PubMedQA (Accuracy metric)

We are going to talk about the internal workings of ChatGPT and the fundamental concepts it lies on: Language Models, Transformer Neural Networks, GPT models and Reinforcement Learning ABOUT ME ⭕ Subscribe:

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RESOURCES [1] ChatGPT blog:

[2] Instruct GPT which is the model ChatGPT was modeled after:

[3] Proximal Policy Optimization is how ChatGPT makes use of human rankings to update model parameters and make it more "safe" and "truthful":

[4] Here is a paper that shows how Reinforcement learning through human feedback actually helps:

[5] Every timestep, a subword token is generated. Here is some more information on this process with BPE:

[6] Basic Concepts in Reinforcement Learning:

[7] Why Does GPT-3 write non-sensical stuff that sounds legit?

[8] What is GPT-3.5?

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Happy coding! Nick

In this series on CVAT, we learn how to create dataset using bounding box annotation, mask, key point, and more for both images and videos using CVAT - an open source computer vision tools. 📚 Our Previous video explains how to add labels and setup CVAT.

For easy reference find a list of the available mouse and keyboard shortcuts:

Computer Vision Annotation Tool (CVAT) is one of the most popular free image and video annotation tools that you can use to label your data. It’s used by computer vision amateurs and professional data annotation teams alike, and our tutorial will explore the ins and outs of the data annotation process using this tool. From medical to retail to autonomous vehicles, the world’s most ambitious AI teams use CVAT as a part of their daily AI workflow. Topics Covered: ✅How to annotate bounding boxes ✅ 2-point annotation ❓FAQ How does CVAT tool work? Why do we use CVAT? How do I use CVAT annotation tool? How do you annotate CVAT? ⭐️ Time Stamps:⭐️ 0:00-00:14: Introduction 00:14-00:30: Selecting Label 00:30-01:24: Two-Point Annotation 01:24-02:36: Four-Point Annotation 02:36-02:52: Outro Resources: 🖥️ On our blog -

we also share tutorials and code on topics like Image Processing, Image Classification, Object Detection, Face Detection, Face Recognition, YOLO, Segmentation, Pose Estimation, and many more using OpenCV(Python/C++), PyTorch, and TensorFlow. 🤖 Learn from the experts on AI: Computer Vision and AI Courses YOU have an opportunity to join the over 5300+ (and counting) researchers, engineers, and students that have benefited from these courses and take your knowledge of computer vision, AI, and deep learning to the next level.🤖

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