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Mar 12
Chatbot vs Conversational AI Chatbot: Understanding the Differences

Conversational AI vs Chatbot: What’s the Difference Chatbots are changing CX by automating repetitive tasks and offering personalized support across popular messaging channels. This helps improve agent productivity and offers a positive employee and customer experience. Chatbots are important because they are a valuable chatbot vs chatbot extension of your support team, helping both customers and employees. Follow along to explore the key benefits of chatbots, from 24/7 support to personalized conversations. In the 1960s, a computer scientist at MIT was credited for creating Eliza, the first chatbot. What is the…

Mar 06
Transforming Ecommerce: The Power of Conversational AI

Conversational AI in eCommerce: Use Cases & Future Trends Zendesk’s adaptable Agent Workspace is the modern solution to handling classic customer service issues like high ticket volume and complex queries. It is bad because it requires them to provide a customer experience that is multilingual, understandable, easy, and adaptable. Therefore, companies need to ensure their AI chatbots are working properly and fast to solve problems in real time. Conversational AI is an advanced model, as we mentioned earlier, which can also make personalized offerings and recommendations based on the customer’s cart…

Feb 26
Witty, Creative Bot Names You Should Steal For Your Bots

5 Steps to a Catchy Bot Name + Ideas Let’s consider an example where your company’s chatbots cater to Gen Z individuals. To establish a stronger connection with this audience, you might consider using names inspired by popular movies, songs, or comic books that resonate with them. Figuring out this purpose is crucial to understand the customer queries it will handle or the integrations it will have. However, ensure that the name you choose is consistent with your brand voice. When customers first interact with your chatbot, they form an impression…

Feb 20
Sentiment Analysis Using Python

Top 5 Techniques for Sentiment Analysis in Natural Language Processing by Syed Huma Shah ILLUMINATION The age of getting meaningful insights from social media data has now arrived with the advance in technology. The Uber case study gives you a glimpse of the power of Contextual Semantic Search. It’s time for your organization to move beyond overall sentiment and count based metrics. Keeping track of customer comments allows you to engage with customers in real time. In this article, we’ll explain how you can use sentiment analysis to power up your…

Dec 29
PacktPublishing Building-LLM-Powered-Applications: Building Large Language Model Applications, Published by Packt

Beginners Guide to Building LLM Apps with Python So for sure, a disadvantage is the lack of interpretability of soft prompts. The AI discovers prompts relevant for a specific task but can’t explain why it chose those embeddings. When fine-tuning, doing it from scratch with a good pipeline is probably the best option to update proprietary or domain-specific LLMs. However, removing or updating existing LLMs is an active area of research, sometimes referred to as machine unlearning or concept erasure. If you have foundational LLMs trained on large amounts of raw…

Dec 18
What Chatbot Marketing Is and How to Use It In Digital Marketing

Chatbot Marketing: 3 Benefits, 7 Use Cases & 3 Case Studies in ’24 They often make a dozen or more touch points with a business before they buy anything. If someone has bought an online course from you in the past, he or she will be more likely to join your membership site than someone who has never done business with your company. In fact, most businesses couldn’t survive without that aspect of marketing. Gauging interest can be as simple as asking some basic questions regarding your products and services. In…