Bots built upon machine learning need long training processes to have the ability to hold a meaningful conversations with real people. Training data becomes, therefore, a diamond in the rough; all companies need such input for their bots.
Until now, this data was generated in a slow manual way. However, speeding up your bot training can now come true with artificially generated data.
Everybody knows that a manual generation of training data turns out to be a never-ending task that leads to error-prone results. Perhaps not the right one for the main purpose of any successful enterprise: owning a bot able to understand every single query made by a user.
That’s to say, if you want your bot to recognize a specific intent, you must feed it with a great number of sentences alluding to it, which can end up being prohibitively expensive.
Following the above mentioned manual procedure, it takes plenty of time and money to have enough content available for a successful human-robot interaction.
Nevertheless, teaching bots how to talk properly is easier than ever before and some companies are already getting on board aiming to automate this time-consuming process with artificial training data.
This process makes it possible for them to reduce the cost and time wasted in generating data for Machine Learning training.
This auto-generated artificial training data serves as ‘food for thought’ for bots enabling them to recognize and categorize every intent of a sentence successfully. Bitext system will also noticeably increase the accuracy of your bot reaching really good results.
Such artificial training data can incredibly improve the results of ML-based bot platforms when comparing a bot trained with manually-processed sentences with another one trained with thousands of sentences generated via Bitext technology.
We are currently developing a brand-new, ground-breaking computer science that allows machines to see the world as humans do. Just think of it as if the artificial is embedded in artificial intelligence.
Why not? Enhance your bot performance on the spot by automating its data training.
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