Intro to Generative AI & Robotics Process Automation(RPA)

This Course consists of 1. Introduction to Generative AI 2. Some Use cases of Generative AI (Application in Healthcare, Manufacturing , IT, Banking etc) 3. Introduction to Foundation Models and Foundation Model Parameters like Top P , Top K and Temperature. 4. Introduction to RPA Tools 5. Popular RPA Tools and Benefits 6. Some Use cases of RPA 7. Introduction to How to Make Bots The course contains Generative AI which refers to a type of artificial intelligence that generates new content, such as images, text, or even music, based on patterns and examples in the data it has been trained on. It also covers Some Use Cases of Generative AI Healthcare: Generating synthetic data for medical research and training AI models for diagnostics. Manufacturing: Design optimization, generative design for products, and predictive maintenance. IT: Automating content generation, anomaly detection in networks, and cybersecurity. Banking: Fraud detection, customer service automation through chatbots, and personalized financial advice. Introduction to Foundation Models and Parameters: Foundation models are large-scale AI models trained on vast amounts of data to perform a wide range of tasks. Parameters like Top P, Top K, and Temperature are used to control the output of these models: Top P: Limits the sampling to the most likely tokens until the cumulative probability surpasses a specified threshold. Top K: Limits the sampling to the top K most likely tokens. Temperature: Controls the randomness of the generated text, with higher temperatures producing more diverse outputs. Introduction to RPA Tools: Robotic Process Automation (RPA) tools automate repetitive tasks by mimicking human actions across digital systems. These tools interact with software applications in the same way a human user would, but at a much faster rate and without errors. Popular RPA Tools and Benefits: Popular RPA tools include UiPath, Automation Anywhere, and Blue Prism. Benefits of using RPA tools include: Increased efficiency and productivity by automating routine tasks. Improved accuracy and compliance by reducing human errors. Cost savings by freeing up human resources for more complex tasks. Some Use Cases of RPA: RPA is used in various industries: Finance: Automating data entry, invoice processing, and reconciliation. Healthcare: Streamlining patient scheduling, claims processing, and medical record management. Retail: Automating order processing, inventory management, and customer support. Introduction to How to Make Bots: Making bots involves defining tasks, identifying suitable RPA tools, designing workflows, configuring the bot’s actions, and testing it to ensure functionality and reliability. Bots can be created to automate tasks ranging from simple data entry to complex decision-making processes.