Artificial intelligence (AI)

ChatGPT4 Release Summary A brief summary and key takeaways from by Jeremy Zhang Medium OpenAI recently announced multiple new features for ChatGPT and other artificial intelligence tools during its recent developer conference. The upcoming launch of a creator tool for chatbots, called GPTs (short for generative pretrained transformers), and a new model for ChatGPT, called […]

Switching from Zendesk to Intercom Help Center You could technically consider Intercom a CRM, but it’s really more of a customer-focused communication product. It isn’t as adept at purer sales tasks like lead management, list engagement, advanced reporting, forecasting, and workflow management as you’d expect a more complete CRM to be. Zendesk’s help center tools

Game-changing AI use cases for contact center The AI system understands the context of the customer’s query and provides the agent with the most relevant information. Talkdesk Virtual Agent handles common customer queries like orders, returns, and billing. If complex cases require empathy and expertise, the virtual agent seamlessly redirects customers to a human agent.

Natural Language Processing NLP A Complete Guide By knowing the structure of sentences, we can start trying to understand the meaning of sentences. We start off with the meaning of words being vectors but we can also do this with whole phrases and sentences, where the meaning is also represented as vectors. And if we

The new spreadsheet? OpenAI introduces ChatGPT Enterprise for businesses Enterprise chatbots can mimic your business’s tone and style, serving as a natural extension of your brand. By letting your brand voice shine through, they make interacting with your company a more pleasant user experience. That’s why customer engagement typically rises when businesses start using a

Understanding Semantic Analysis NLP Stay on top of the latest developments in semantic analysis, and gain a deeper understanding of this essential linguistic tool that is shaping the future of communication and technology. Machine learning-based semantic analysis involves sub-tasks such as relationship extraction and word sense disambiguation. It’s an essential sub-task of Natural Language Processing