Agentic AI Coding

🔅 04 - ChatGPT, Sora AI, Eleven Labs and Capcut to Generate a Mythology Youtube Short @OpenAI_Mastery

🔅 03 - Capcut, ChatGPT, and Sora to Edit a Mariana Trench Viral Fact AI Youtube Short @OpenAI_Mastery

🔅 02 - AI Toolkit to Edit the Perfect Youtube Short, Sora AI, ChatGPT, Eleven Labs, etc @OpenAI_Mastery

🔅 01 - Introduction to the AI Faceless Youtube Channels Section @OpenAI_Mastery

🖥 ChatGPT Tutorial 2025 - [Become An AI Power User in 30 Minutes]

ChatGPT is among the most powerful tools on the internet and yet many people don't use it to its full potential. Here are 16 prompts to turn you into a power user in 30 minutes

🔅 The amazing, but unsettling future of technology... 🔖 Topics Covered - AI trends in 2025 - Expected timeline for AGI - When will artificial superintelligence emerge? - JavaScript framework updates - Technology trends to watch in 2025 - Future predictions for programmer

🔗 Machine learning Project ideas

📖 5 Steps For Data Pre-processing

📂 Full description Explore the ins and outs of hacking machine learning with the cybersecurity training experts at Infosec Institute. Deep dive into topics such as hacking a CAPTCHA system, fuzzing a target, evading malware detection, and attacking machine learning systems. Plus, learn about deepfakes and how to perform backdoor attacks on machine learning. This course was created by Infosec Institute. We are pleased to host this training in our library.

🔅 Machine Learning for Red Team Hackers by Infosec 🌐 Author: Infosec Institute 🔰 Level: Intermediate ⏰ Duration: 3h 39m

🌀 Learn the various techniques used in hacking machine learning.

📗 Topics: Ethical Hacking, Machine Learning, Red Teaming 📤 Join Artificial Intelligence and Machine Learning for more courses

🔗 What is an AI Agent?

An AI agent is a software program that can interact with its environment, gather data, and use that data to achieve predetermined goals. AI agents can choose the best actions to perform to meet those goals.

Key characteristics of AI agents are as follows: An agent can perform autonomous actions without constant human intervention. Also, they can have a human in the loop to maintain control. - Agents have a memory to store individual preferences and allow for personalization. It can also store knowledge. An LLM can undertake information processing and decision-making functions. - Agents must be able to perceive and process the information available from their environment. - Agents can also use tools such as accessing the internet, using code interpreters and making API calls. - Agents can also collaborate with other agents or humans.

Multiple types of AI agents are available such as learning agents, simple reflex agents, model-based reflex agents, goal-based agents, and utility-based agents.

A system with AI agents can be built with different architectural approaches. 1 - Single Agent: Agents can serve as personal assistants. 2 - Multi-Agent: Agents can interact with each other in collaborative or competitive ways. 3 - Human Machine: Agents can interact with humans to execute tasks more efficiently.