A Demo to Experience the Results A previous blog post describes how we can set up a successful GenAI-based assistant/chatbot with minimum data and training/evaluation efforts. The key is building your chatbot using a Verticalized Language Model as base model, rather...
The GenAI community has turned to synthetic data to satisfy its hunger for data. However, it’s done so with significant reluctance, even sometimes assuming that synthetic data is equivalent to “fake data”. This article published by Bloomberg is very good expression of...
An Extremely Simple Approach to Domain Adaptation for Enterprise GenAI Use Verticalization is a necessary step for deploying AI in the enterprise. But what does verticalizing a model mean, anyway? In practical terms, this means that when we ask the AI model, for...
In the dynamic world of social investments, where user-platform interaction plays a crucial role in the success of customer acquisition and retention, Finequities, a leading social investment app, faced the challenge of optimizing its onboarding process to enhance...
Finetuning GPT to develop a Copilot that can Start and Close Online Sales Automating Online Sales with a New Breed of Copilots: the next generation of GenAI Copilots moves from passively answering customer questions to actively executing online sales. These new...
Getting GPT to Answer Consistently and with Style GPT, like other generative models, tends to provide disparate answers for the same question. Sometimes answers vary only slightly, but sometimes they are very inconsistent or even contradictory. Behavior of Standard...
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