Displaying all posts for Artificial Intelligence

Rule-Based Chatbots vs AI Chatbots: Key Differences

by April 16, 2024

Conversational AI vs Chatbot: What’s the Difference

Depending on the sophistication level, a chatbot can leverage or not leverage conversational AI technology. Conversational AI allows your chatbot to understand human language and respond accordingly. In other words, conversational AI enables the chatbot to talk back to you naturally. At the forefront Read more »

What is Symbolic Artificial Intelligence?

by February 15, 2024

Understanding the difference between Symbolic AI & Non Symbolic AI

Such causal and counterfactual reasoning about things that are changing with time is extremely difficult for today’s deep neural networks, which mainly excel at discovering static patterns in data, Kohli says. You can foun additiona information about ai customer service and Read more »

What Is Machine Learning? MATLAB & Simulink

by February 14, 2024

Deep learning vs machine learning

For example, the algorithm can pick up credit card transactions that are likely to be fraudulent or identify the insurance customer who will most probably file a claim. The training is provided to the machine with the set of data that has not been labeled, Read more »

How to Build a Chatbot with NLP- Definition, Use Cases, Challenges

by February 6, 2024

How chatbots use NLP, NLU, and NLG to create engaging conversations

In some cases, performing similar actions requires repeating steps, like navigating menus or filling forms each time an action is performed. Chatbots are virtual assistants that help users of a software system access information or perform actions without having to Read more »

Semantic Features Analysis Definition, Examples, Applications

by December 29, 2023

DataSpace: Semantic Networks for NLP:Language, Brains, and Digital Telepathy

While GloVe uses the same idea of compressing and encoding semantic information into a fixed dimensional (text) vector, i.e. word embeddings as we define them here, it uses a very different algorithm and training method than Word2Vec to compute the embeddings themselves. Read more »

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