Category Archives: AI Chatbot News

Who created ChatGPT and who owns OpenAI?

What does GPT stand for? Understanding GPT 3 5, GPT 4, and more Microsoft supported OpenAI’s efforts by providing a one billion dollar funding boost in exchange for an exclusive license to the AI firm’s technology. OpenAI, established as a non-profit organisation in 2015, transitioned to a for-profit company in 2019. Sam Altman, the CEO […]

What is NLP? Natural language processing explained

Natural Language Processing First Steps: How Algorithms Understand Text NVIDIA Technical Blog Whether you’re a data scientist, a developer, or someone curious about the power of language, our tutorial will provide you with the knowledge and skills you need to take your understanding of NLP to the next level. Because they are designed natural language […]

What Is an Insurance Chatbot? +Use Cases, Examples

Healthcare Chatbots: Top Use Cases Revolutionizing the Sector The integration of chatbots is expected to grow, making them an integral part of the insurance landscape, driven by their ability to enhance customer experience and operational efficiency. Insurance chatbots health insurance chatbot are redefining customer service by automating responses to common queries. This shift allows human […]

Benefits of Conversational AI in Government

Googles AI Security Framework Google Safety Center Much recent progress in AI has stemmed from harnessing huge amounts of computational power to train a handful of systems. One analysis finds that the computing power (compute) employed to develop noteworthy AI systems has increased by 4.2 times every year. Today’s most capable AI systems use nearly […]

DorinK NLP-Distributional-Semantics: Third Assignment in ‘NLP Natural Languages Processing’ course by Prof Yoav Goldberg, Prof. Ido Dagan and Prof. Reut Tsarfaty at Bar-Ilan University

Latest Trends in Semantic Search Using Natural Language Processing NLP Several companies are using the sentiment analysis functionality to understand the voice of their customers, extract sentiments and emotions from text, and, in turn, derive actionable data from them. It helps capture the tone of customers when they post reviews and opinions on social media […]