Generative AI

Cracking the Human-Language Code of NLP in Financial Services Off-the-shelf solutions like Google Natural Language API offer a collection of NLP models already tuned by Google. This would help you make informed decisions without spending months on test data. Sentiment analysis software can misidentify emotions in comments written in a neutral tone. We can also […]

How were dealing with bots and the reselling of driving tests Despatch for driver and rider trainers A distributed denial of service (DDoS) attack is an automated threat that attempts to disrupt critical business operations by flooding the network or application infrastructure with malicious traffic. The attacks are often launched by a botnet, a group

Generative AI Market Report Size Worth Revenue Growth Industry Value Share 2023 The presence of tech players in Europe and Asia-Pacific creates lucrative growth potential for the market in the area. Big IT giants, for example, are investing in generative AI businesses and technology. During the projection period, the Asia Pacific region is expected to

OpenAI has released their new AI chat bot model, ChatGPT, for the world to test and people have been amazed. ChatGPT can perform tasks such as answer questions, create original stories and sonnets with a unique style, recreate history in the voice of a celebrity, and fix computer programming prompts. The bot has incredible fluency

AI and automation in accountancy delivering better value for clients Accounting Insight News This includes having a fast and stable internet connection, as well as adequate storage and processing power to support the use of AI-powered tools. The hosting environment should be properly configured with robust security measures in place to protect sensitive financial data

What is Conversational User Interface? Surprisingly, interaction with an app or a website can be more intuitive than talking to a bot via natural language. A common issue with conversational chatbots is the amount of content required to respond to all the various user questions in all the various contexts. The more conversational, the more

Before the advent of deep learning, body pose estimation was based on the identification of body components. In the first convolutional layer, filters are applied to every pixel in the image to create a feature map. This map is then fed into another layer of filters, which produces another map and so on until the