Leadership Shift at OpenAI: Mira Murati Appointed Interim CEO Following Sam Altman’s Removal

• About: Sam Altman, the previous CEO of OpenAI was removed from his position recently. A permanent replacement will be made soon.
• Reasons for Removal: Sam Altman had to be removed from the position as the board no longer had confidence in his ability to continue leading OpenAI.
• Mira Murati: Murati was serving as the chief technology officer of OpenAI. She joined the company in 2018.
  • Murati is of Albanian descent and was educated in Canada as a Mechanical Engineer.
  • During her graduation, she interned at Goldman Sachs. Before she joined OpenAI, Murati spent three years at Tesla as a senior product manager.
  • She had a major role in the development of the Model X car, and Leap Motion. She has experience working in aerospace, automotive, virtual reality (VR), and augmented reality (AR) sectors.

ChatGPT: A Comprehensive Overview of OpenAI’s Conversational AI Pioneer

• About: Chat Generative Pre-trained Transformer (ChatGPT) is a large language model-based chatbot developed by Artificial Intelligence (AI) Company OpenAI.
  • ChatGPT has been designed as a ‘conversational’ AI and is designed to answer queries just like a human.
• Basic Job: It can answer “follow-up questions”, and can also admit its mistakes, challenge incorrect information, and reject inappropriate requests.
• Basis: ChatGPT is based on GPT 3.5 series of language learning models (LLM). GPT, which stands for Generative Pre-trained Transformer 3, is a kind of computer language model that uses deep learning techniques to produce human-like text based on inputs.
  • GPTs are based on the transformer architecture developed by Google for the purpose of conversation.
• Training of ChatGPT: The ChatGPT chatbot has been trained using Reinforcement Learning from Human Feedback (RLHF), which enables it to predict what will come next.
  • In the reinforcement learning stage, human trainers were required to rank responses that the model had created in a previous conversation.
  • These rankings were utilized to create “reward models” that fine-tuned the model further by using several iterations of Proximal Policy Optimization (PPO). 
• Evolution of ChatGPT: The initial model for ChatGPT was trained using human AI trainers, who provided conversations in which the AI Chatbot played both sides—the user and an AI assistant. 
  • The AI trainers had access to model-written suggestions to help them compose their responses.
• Applications of ChatGPT: ChatGPT chatbot has the ability to compose basic emails, party planning lists, CVs, college essays, solving mathematics problems, write computer code, develop a complete novel etc.

Advantages of Generative Chatbots in Time, Cost, and Multilingual Support

• Higher Efficiency: Mechanical routine and repetitive tasks can be handled by generative chatbots, thus freeing up time for other tasks.
• Cost Savings: Services such as customer grievance handling can be done through generative chatbots, thus saving costs.
• Time Saving: Generative chatbots provide responses immediately, thus saving time.
• Multilingual Support: Generative chatbots can serve user needs in multiple languages, thus making it suitable for businesses with global audiences.
• Multitasking: Generative chatbots can serve multiple users at the same time, making it suitable for applications with high user engagement.

Understanding the Drawbacks of Generative Chatbots

• Incorrect Information: The chatbot may generate incorrect information, and create “biased content.” 
• Limited Time-frame of Knowledge Accumulation: The chatbot does not possess knowledge of the world after 2021.
• Incorrect Grammatically: ChatGPT can provide grammatically correct responses but these lack context and substance.
• Bypass Safety Mode: Even though ChatGPT has been designed to reject prompts that violate its content policy, individuals have managed to coerce ChatGPT into overcoming its built-in limitations.
• Artificial and Mechanical Nature of Response: The responses generated by generative chatbots can sound like a machine and unnatural.

Generative AI: Crafting Unique Content, Analyzing Complexity, and Enhancing Efficiency

• About: Generative AI is a type of Artificial Intelligence service that enables users to quickly generate new content based on a variety of inputs. 
  • Text, images, sounds, animation, 3D models, or other types of data can be input and output to these models.

• Working: Generative AI provides new content by using neural networks to identify the patterns and structures within existing data.
  • Generative AI can use unsupervised or semi-supervised learning for training, making it quick to leverage a large amount of unlabeled data to create foundation models.
• Benefits of Generative AI:
  • Unique Content: Generative AI has the ability to create new, original content, such as images, videos, and text, which is separate from previous ones.
  • Analyze Complex Data: Generative AI can analyze complex data to discover hidden patterns, which can boost existing business.
  • Efficiency: Generative AI has shown the ability to improve the efficiency and accuracy of existing AI systems, especially natural language processing and computer vision. 
  • Time-saving: Generative AI can speed up tasks and processes, saving time and resources for businesses and organizations.