Traditional Programming:A developer writes specific conditions (e.g. If an email contains “Win Money” or “You’re lucky” then mark it as spam”). Machine Learning:TheMachine Learning algorithmanalyzes thousands of emails and learns the pattern to detect spam emails without the need for manu...
NLP refers to the processing of human language by computer programs. NLP algorithms can interpret and interact with human language, performing tasks such as translation, speech recognition andsentiment analysis. One of the oldest and best-known examples of NLP is spam detection, which looks at the...
One common application of NLP is a chatbot. If a user opens an online business chat to troubleshoot or ask a question, a computer responds in a manner that mimics a human. Sometimes the user doesn’t even know he or she is chatting with an algorithm. ...
In machine learning, an epoch is a complete iteration through the entire training dataset during model training. It’s a critical component in the training process as it enables the model to update its parameters based on the optimization algorithm and loss function used to minimize the error. ...
on which word or syllable the speaker puts stress on. NLP algorithms can miss the subtle but important tone changes in a person's voice when performing speech recognition. The tone and inflection of speech can also vary among different accents, which can be challenging for an algorithm to ...
Generative AI refers to an artificial intelligence system that can create new content (like text, images, audio or video) based on user prompts. Generative AI is the backbone of popular chatbots like ChatGPT, Gemini and Claude, and can be used to instantly create written copy, reports, code...
Scalability.Writing an algorithm to process a problem is challenging. Taking this algorithm and parallelizing it along multiple cores for more processing capability is even more challenging. In the neural network world, however, AI accelerators make it possible to achieve a level of performance speed...
Natural language processing (NLP) is a branch of artificial intelligence (AI) that enables computers to comprehend, generate, and manipulate human language.
More specifically, machine learning creates an algorithm or statistical formula (referred to as a “model”) that converts a series of data points into a single result. ML algorithms “learn” through “training,” in which they identify patterns and correlations in data and use them to provid...
The next stage of NLP is natural language interaction, which allows humans to communicate with computers using normal, everyday language to perform tasks. Graphical processing units are key to AI because they provide the heavy compute power that’s required for iterative processing. Training neural ...