Technological Alchemy: Using GPT in CX According to Blake Morgan, a CX expert, ChatGPT has major flaws that prevent it from becoming a useful tool in industries like Customer Experience. In, Cons Of ChatGPT For Customer Experience, an article recently published in...
The advent of Generative Large Language Models (LLMs) has revolutionized a myriad of business operations, ranging from creating enthralling blog articles to providing tailored customer support. These models, especially when spiced with focused datasets, open a...
In a previous post, we conducted a comprehensive benchmark on the role of synthetic text generation for intent detection using traditional Natural Language Understanding (NLU) platforms. In that study, we specifically examined the performance of Rasa as an example,...
We have shown in previous posts why Synthetic Training Data is the best way to boost the accuracy of any chatbot, and the solution to the most important problem of chatbots nowadays: data scarcity, namely, the lack of accurate and useful training data for the problems...
Leveraging technology that generates text is coming to the main theaters and Forbes is the most recent one: “The Biggest Opportunity In Generative AI Is Language, Not Images” Different names are in use: generative AI, as in the article; synthetic text, following the...
The case for evaluation of NLU platforms Synthetic image and video have proven to be a big success for cost-cutting. Synthetic text is following suit: tabular data (that is the data organized in a table with rows and columns) is becoming mainstream already, and the...
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