1Ai voice genrator 1 What is ai voice genrator AI Voices are created by machine learning models that process hundreds of hours of voice recordings from real voiceover artists and then learn to speak based on the audio recordings. Today AI Voices are used in several applications due to their natural-sounding tone 2 How does AI voice generation work? AI voice uses deep learning to create higher-quality synthetic speech that more accurately mimics the pitch, tone, and pace of a real human voice. For example, if you wanted to use LOVO AI to generate synthetic text, you can upload a script that you want to turn into audio content 2 Ai image generator 1What is an AI image generator? An AI Image generator is a tool that allows you to generate images from text. It uses artificial intelligence to interpret the text and create an image that represents it 2 How does an AI image generator work? The program uses a database of images to learn how to generate new ones. So once you type the text, the program makes a process, and based on the images in the database, it creates a new image. Lensa is a Social media users have been having fun with an app called Lensa and its latest "magic avatar" feature. The app lets people upload photos of themselves, which are then turned into magical, whimsical AI images. 3 ai chat bot ChatGPT is a prototype artificial intelligence chatbot developed by OpenAI which specializes in dialogue. The chatbot is a large language model fine-tuned with both supervised and reinforcement learning techniques. It is a fine-tuned version of a model in OpenAI's GPT-3.5 family of language models ChatGPT (Generative Pre-trained Transformer) was fine-tuned on top of GPT-3.5 using supervised learning as well as reinforcement learning.[1] Both approaches used human trainers to improve the model's performance. In the case of supervised learning, the model was provided with conversations in which the trainers played both sides: the user and the AI assistant. In the reinforcement step, human trainers first ranked responses that the model had created in a previous conversation. These rankings were used to create 'reward models' that the model was further fine-tuned on using several iterations of Proximal Policy Optimization (PPO).[2][3] Proximal Policy Optimization algorithms present a cost-effective benefit to trust region policy optimization algorithms; they negate many of the computationally expensive operations with faster performance.[4][5] The models were trained in collaboration with Microsoft on their Azure supercomputing infrastructure. In comparison to its predecessor, InstructGPT, ChatGPT attempts to reduce harmful and deceitful responses; in one example, while InstructGPT accepts the prompt "Tell me about when Christopher Columbus came to the US in 2015" as truthful, ChatGPT uses information about Columbus' voyages and information about the modern world – including perceptions of Columbus to construct an answer that assumes what would happen if Columbus came to the U.S. in 2015.[2] ChatGPT's training data includes man pages and information about Internet phenomena and programming languages, such as bulletin board systems and the Python programming language.[6] Unlike most chatbots, ChatGPT is stateful, remembering previous prompts given to it in the same conversation, which some journalists have suggested will allow for ChatGPT to be used as a personalized therapist.[7] To prevent offensive outputs from being presented to and produced from ChatGPT, queries are filtered through a moderation API, and potentially racist or sexist prompts are dismissed.[2][7] ChatGPT suffers from multiple limitations. The reward model of ChatGPT, designed around human oversight, can be over-optimized and thus hinder performance, otherwise known as Goodhart's law.[8] Furthermore, ChatGPT has limited knowledge of events that occurred after 2021 and is unable to provide information on some celebrities. In training, reviewers preferred longer answers, irrespective of actual comprehension or factual content.[2] Training data may also suffer from algorithmic bias; prompts including vague descriptors of people, such as a CEO, could generate a response that assumes such a person, for instance, is a white male Ai dadta analysis An AI Data Analyst is a tech professional responsible for collecting, processing, and tracking down the statistical information from the existing datasets. The AI Data Analyst career path is in demand due to its bright future outlook. How AI is used in data analytics? AI analytics refers to a subset of business intelligence that uses machine learning techniques to discover insights, find new patterns and discover relationships in the data. In practice, AI analytics is the process of automating much of the work that a data analyst would normally performance . I'm on Instagram as @iron_tech_utube2. https://www.instagram.com/invites/contact/?i=42tzsk7sf746&utm_content=q04234y
