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Unlock the Power of UiPath AI Center API
- 1. UiPath Dallas Chapter Unlock the Power of UiPath AI Center API #UiPathDallasChapter
- 2. 2 About UiPath Denver Chapter! We are an online and offline environment where RPA developers, professionals, and enthusiasts: - meet each other and share experiences in the RPA industry - learn together about the challenges they encounter - build projects and components together and expand upon automation ideas Platforms: - UiPath Community Page - Slack Channel
- 3. Solution Architect Ashling Partners Naveen Chatlapalli Organizers/Team UiPath AI ambassador Americas UiPath MVP 2023 UiPath Denver chapter lead Sr. Machine Learning Consultant Ashling Partners Sharon Palawandram Diana Gray Community Leader Community Marketing Manager UiPath
- 4. Introduction AI Center API Q&A Meeting Agenda AI Center
- 5. What is UiPath AI Center UiPath AI Center is a service provided by UiPath that allows users to deploy, manage, and continuously improve machine learning models and incorporate them into Robotic Process Automation (RPA) workflows . It enables users to leverage the power of artificial intelligence (AI) and machine learning (ML) in their automation processes. 5
- 6. Data Preparation Model Development Model Training and Evaluation Phases Involved in leveraging AI Center Model Deployment Integration with RPA Workflows Continuous Improvement
- 17. Demo
- 18. Education Learn RPA Skills - Free Community Software - Academy - Certification - Academic Alliance Support Solve problems - Forum - Documentation - Community Blog - Use Cases Repository - Job Board Network Grow your career - Meetups & DevCon - Mentorship - Hackathons - MVP Program - Automation Champions An ecosystem enabling developer success
- 19. Vibrant ecosystem of more than 1.5 million professionals and citizen developers learning, getting support, and succeeding together in their automation careers. • Start with the free Community Edition to get trained and certified • Then upgrade to the Enterprise version of the product Academy • Get crowdsourced support and share product feedback on UiPath Forum • Check the product documentation • Join the Insider Preview for early testing Forum Community Events • Access the latest articles and video tutorial content created by community members and UiPath engineers in our Community Blog • Contribute as an author. UiPath Community MVPs • Get recognized as a Most Valuable Professional (MVP), Automation Champion or one of the Forum Leaders, based on the contribution to others’ growth Join the UiPath Community • Connect with like-minded people and share best practices with the UiPath Community • Solve challenges in engaging hackathon competitions • Join meetups and conferences Blog and Tutorials Automation Cloud • Learn the skills of the future on UiPath Academy or through our Academic Alliance • Earn globally recognized credentials with UiPath Certifications
Editor's Notes
- ChatGPT is a variant of the GPT (Generative Pre-training Transformer) language model that was developed specifically for generating human-like text in a conversational context. It is designed to generate natural language responses when given input from a user — making it potentially useful in a variety of business applications where human-like conversation with customers or clients is desirable. Proximal Policy Optimization, or PPO, is a policy gradient method for reinforcement learning. The motivation was to have an algorithm with the data efficiency and reliable performance of TRPO, while using only first-order optimization. The particular semi-supervised approach OpenAI employed to make a large scale generative system—and was first to do with a transformer model—involved two stages: an unsupervised generative "pre-training" stage to set initial parameters using a language modeling objective, and a supervised discriminative "fine-tuning" stage to adapt these parameters to a target task.[13]
- ChatGPT is a variant of the GPT (Generative Pre-training Transformer) language model that was developed specifically for generating human-like text in a conversational context. It is designed to generate natural language responses when given input from a user — making it potentially useful in a variety of business applications where human-like conversation with customers or clients is desirable. Proximal Policy Optimization, or PPO, is a policy gradient method for reinforcement learning. The motivation was to have an algorithm with the data efficiency and reliable performance of TRPO, while using only first-order optimization. The particular semi-supervised approach OpenAI employed to make a large scale generative system—and was first to do with a transformer model—involved two stages: an unsupervised generative "pre-training" stage to set initial parameters using a language modeling objective, and a supervised discriminative "fine-tuning" stage to adapt these parameters to a target task.[13]
- ChatGPT is a variant of the GPT (Generative Pre-training Transformer) language model that was developed specifically for generating human-like text in a conversational context. It is designed to generate natural language responses when given input from a user — making it potentially useful in a variety of business applications where human-like conversation with customers or clients is desirable. Proximal Policy Optimization, or PPO, is a policy gradient method for reinforcement learning. The motivation was to have an algorithm with the data efficiency and reliable performance of TRPO, while using only first-order optimization. The particular semi-supervised approach OpenAI employed to make a large scale generative system—and was first to do with a transformer model—involved two stages: an unsupervised generative "pre-training" stage to set initial parameters using a language modeling objective, and a supervised discriminative "fine-tuning" stage to adapt these parameters to a target task.[13]
- ChatGPT is a variant of the GPT (Generative Pre-training Transformer) language model that was developed specifically for generating human-like text in a conversational context. It is designed to generate natural language responses when given input from a user — making it potentially useful in a variety of business applications where human-like conversation with customers or clients is desirable. Proximal Policy Optimization, or PPO, is a policy gradient method for reinforcement learning. The motivation was to have an algorithm with the data efficiency and reliable performance of TRPO, while using only first-order optimization. The particular semi-supervised approach OpenAI employed to make a large scale generative system—and was first to do with a transformer model—involved two stages: an unsupervised generative "pre-training" stage to set initial parameters using a language modeling objective, and a supervised discriminative "fine-tuning" stage to adapt these parameters to a target task.[13]
- ChatGPT is a variant of the GPT (Generative Pre-training Transformer) language model that was developed specifically for generating human-like text in a conversational context. It is designed to generate natural language responses when given input from a user — making it potentially useful in a variety of business applications where human-like conversation with customers or clients is desirable. Proximal Policy Optimization, or PPO, is a policy gradient method for reinforcement learning. The motivation was to have an algorithm with the data efficiency and reliable performance of TRPO, while using only first-order optimization. The particular semi-supervised approach OpenAI employed to make a large scale generative system—and was first to do with a transformer model—involved two stages: an unsupervised generative "pre-training" stage to set initial parameters using a language modeling objective, and a supervised discriminative "fine-tuning" stage to adapt these parameters to a target task.[13]
- ChatGPT is a variant of the GPT (Generative Pre-training Transformer) language model that was developed specifically for generating human-like text in a conversational context. It is designed to generate natural language responses when given input from a user — making it potentially useful in a variety of business applications where human-like conversation with customers or clients is desirable. Proximal Policy Optimization, or PPO, is a policy gradient method for reinforcement learning. The motivation was to have an algorithm with the data efficiency and reliable performance of TRPO, while using only first-order optimization. The particular semi-supervised approach OpenAI employed to make a large scale generative system—and was first to do with a transformer model—involved two stages: an unsupervised generative "pre-training" stage to set initial parameters using a language modeling objective, and a supervised discriminative "fine-tuning" stage to adapt these parameters to a target task.[13]
- ChatGPT is a variant of the GPT (Generative Pre-training Transformer) language model that was developed specifically for generating human-like text in a conversational context. It is designed to generate natural language responses when given input from a user — making it potentially useful in a variety of business applications where human-like conversation with customers or clients is desirable. Proximal Policy Optimization, or PPO, is a policy gradient method for reinforcement learning. The motivation was to have an algorithm with the data efficiency and reliable performance of TRPO, while using only first-order optimization. The particular semi-supervised approach OpenAI employed to make a large scale generative system—and was first to do with a transformer model—involved two stages: an unsupervised generative "pre-training" stage to set initial parameters using a language modeling objective, and a supervised discriminative "fine-tuning" stage to adapt these parameters to a target task.[13]
- ChatGPT is a variant of the GPT (Generative Pre-training Transformer) language model that was developed specifically for generating human-like text in a conversational context. It is designed to generate natural language responses when given input from a user — making it potentially useful in a variety of business applications where human-like conversation with customers or clients is desirable. Proximal Policy Optimization, or PPO, is a policy gradient method for reinforcement learning. The motivation was to have an algorithm with the data efficiency and reliable performance of TRPO, while using only first-order optimization. The particular semi-supervised approach OpenAI employed to make a large scale generative system—and was first to do with a transformer model—involved two stages: an unsupervised generative "pre-training" stage to set initial parameters using a language modeling objective, and a supervised discriminative "fine-tuning" stage to adapt these parameters to a target task.[13]
- ChatGPT is a variant of the GPT (Generative Pre-training Transformer) language model that was developed specifically for generating human-like text in a conversational context. It is designed to generate natural language responses when given input from a user — making it potentially useful in a variety of business applications where human-like conversation with customers or clients is desirable. Proximal Policy Optimization, or PPO, is a policy gradient method for reinforcement learning. The motivation was to have an algorithm with the data efficiency and reliable performance of TRPO, while using only first-order optimization. The particular semi-supervised approach OpenAI employed to make a large scale generative system—and was first to do with a transformer model—involved two stages: an unsupervised generative "pre-training" stage to set initial parameters using a language modeling objective, and a supervised discriminative "fine-tuning" stage to adapt these parameters to a target task.[13]