Getting GPT to Answer Consistently and with Style GPT, and any other generative model, tends to provide disparate answers for the same question, sometimes they are just a bit different, sometimes very different or even contradictory. Behavior of GPT-3.5 Standard These...
ChatGPT has major flaws that prevent it from becoming a useful tool in industries like Customer Experience. That’s what Blake Morgan, a CX expert, published in Forbes recently: Cons Of ChatGPT For Customer Experience One relevant fragment: “One of the lauded benefits...
The advent of Generative Large Language Models (LLMs) has revolutionized a myriad of business operations, ranging from creating enthralling blog articles to the brilliant classification of sentiments across statements. These models, when spiced with tailored datasets,...
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,...
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...
Recent Comments