Conversational AI and Chatbot Integrations

The document discusses generative AI and how it has evolved from earlier forms of AI like artificial intelligence, machine learning, and deep learning. It explains key concepts like generative adversarial networks, large language models, transformers, and techniques like reinforcement learning from human feedback and prompt engineering that are used to develop generative AI models. It also provides examples of using generative AI for image generation using diffusion models and how Stable Diffusion differs from earlier diffusion models by incorporating a text encoder and variational autoencoder.

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In this session, you'll get all the answers about how ChatGPT and other GPT-X models can be applied to your current or future project. First, we'll put in order all the terms – OpenAI, GPT-3, ChatGPT, Codex, Dall-E, etc., and explain why Microsoft and Azure are often mentioned in this context. Then, we'll go through the main capabilities of the Azure OpenAI and respective usecases that might inspire you to either optimize your product or build a completely new one.

This presentation presents an overview of the challenges and opportunities of generative artificial intelligence in Web3. It includes a brief research history of generative AI as well as some of its immediate applications in Web3.

LLM, ChatGPT, AI. A take on the new wave! After the PC, the internet, mobile and the cloud, the new wave is here: AI

* "Responsible AI Leadership: A Global Summit on Generative AI" *April 2023 guide for experts and policymakers * Developing and governing generative AI systems * + 100 thought leaders and practitioners participated * Recommendations for responsible development, open innovation & social progress * 30 action-oriented recommendations aim * Navigate AI complexities

In this presentation, we will delve into the exciting applications of Generative AI across various business domains. Leveraging the capabilities of artificial intelligence and machine learning, Generative AI allows for dynamic, context-aware user interfaces that adapt in real-time to provide personalized user experiences. We will explore how this transformative technology can streamline design processes, facilitate user engagement, and open the doors to new forms of interactivity.

As an AI language model, ChatGPT is a program consisting of a large neural network that has been trained on vast amounts of textual data. Specifically, ChatGPT is a variant of the GPT (Generative Pre-trained Transformer) family of models developed by OpenAI.

The document discusses AI tools for software testing such as ChatGPT, Github Copilot, and Applitools Visual AI. It provides an overview of each tool and how they can help with testing tasks like test automation, debugging, and handling dynamic content. The document also covers potential challenges with AI like data privacy issues and tools having superficial knowledge. It emphasizes that AI should be used as an assistance to humans rather than replacing them and that finding the right balance and application of tools is important.

Gartner provides webinars on various topics related to technology. This webinar discusses generative AI, which refers to AI techniques that can generate new unique artifacts like text, images, code, and more based on training data. The webinar covers several topics related to generative AI, including its use in novel molecule discovery, AI avatars, and automated content generation. It provides examples of how generative AI can benefit various industries and recommendations for organizations looking to utilize this emerging technology.

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With the recent buzz on Generative AI & Large Language Models, the question is to what extent can these technologies be applied at work or when you're studying and how easy is it to manage/develop your own models? Hear from our guest speaker from Google as he shares some insights into how industries are evolving with these trends and what are some of Google's offerings from Duet AI in Google Workspace to the GenAI App Builder on Google Cloud.

The document discusses conversational AI (CAI) solutions and trends in the contact center industry. It provides an overview of CAI and how it has evolved from early interactive voice response (IVR) systems to more advanced intelligent virtual assistants (IVAs) using technologies like natural language processing. The document also examines key industry trends driving CAI adoption like improving customer and employee experiences, identifies leading CAI vendors, and outlines growth opportunities in areas like low-code/no-code solutions and integrating augmented intelligence services.

This document provides an overview of conversational AI and discusses emerging technologies like general and narrow AI. It begins by discussing the evolution of chatbots and how most current AI chatbots work using data correlation rather than causation. It then distinguishes between narrow AI, which can perform repetitive tasks with limited abilities, and general AI, which does not currently exist but would have unlimited abilities and ability to self-program. The document outlines some examples of how companies are using machine learning and AI to improve business operations. It emphasizes the importance of transparency, explainability, security and predictability for practical narrow AI applications. Finally, it discusses the importance of digital identity and outlines statistics on the potential impacts of good digital identity systems.

A journey into the business world of artificial intelligence. Explore at a high-level ongoing business experiments in creating new value. * Review AI as a priority for value generation * Explore ongoing experimentation * Touch on how businesses are monetising AI * Understand the intent of adoption by industries * Discuss on the state of customer trust in AI Part 1 of a 9 Part Research Series named "What matters in AI" published on https://www.andremuscat.com

GPT-3 is an AI tool created by OpenAI that can generate text in human-like ways. It has been trained on vast amounts of text from the internet. GPT-3 can answer questions, summarize text, translate languages, and generate computer code. However, it has limitations as its output can become gibberish for complex tasks and it operates as a black box system. While impressive, GPT-3 is just an early glimpse of what advanced AI may be able to accomplish.

Explore the risks and concerns surrounding generative AI in this informative SlideShare presentation. Delve into the key areas of concern, including bias, misinformation, job loss, privacy, control, overreliance, unintended consequences, and environmental impact. Gain valuable insights and examples that highlight the potential challenges associated with generative AI. Discover the importance of responsible use and the need for ethical considerations to navigate the complex landscape of this transformative technology. Expand your understanding of generative AI risks and concerns with this engaging SlideShare presentation.

.UiPath Chatbots bring together RPA and conversational AI to modernize your enterprise operations and delight your customers. The AI-powered RPA platform and the Druid no-code chatbot authoring platform allow businesses to fulfill the customer requests end-to-end making it suitable for all industries and roles. We’ve made it so easy to automate conversational processes, it just might leave you speechless​