Deploying Successful GenAI-based Chatbots with less Data and more Peace of Mind.
A Demo to Experience the ResultsA previous blog post describes how we can set up a successful GenAI-based assistant/chatbot with minimum data and...
Any Solutions to the Endless Data Needs of GenAI?
The GenAI community has turned to synthetic data to satisfy its hunger for data. However, it’s done so with significant reluctance, even sometimes...
From General-Purpose LLMs to Verticalized Enterprise Models
An Extremely Simple Approach to Domain Adaptation for Enterprise GenAI UseVerticalization is a necessary step for deploying AI in the enterprise....
Case Study: Finequities & Bitext Copilot – Redefining the New User Journey in Social Finance
In the dynamic world of social investments, where user-platform interaction plays a crucial role in the success of customer acquisition and...
Automating Online Sales with Proactive Copilots
Finetuning GPT to develop a Copilot that can Start and Close Online SalesAutomating Online Sales with a New Breed of Copilots: the next generation...
Taming the GPT Beast for Customer Service
Getting GPT to Answer Consistently and with StyleGPT, like other generative models, tends to provide disparate answers for the same question....
Can You Use GPT for CX Purposes? Yes, You Can
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...
Why Do You Need to Fine-tune Your Conversational LLM with 100’s (If Not 1,000’s) of Examples?
For Consistent LLM Answers, Fine-tune with Examples. LOTS of Examples LLMs tend to be very creative and introduce diversity and creativity in...
Introducing a New Breed of Data to Fine-tune LLMs: Hybrid Datasets
Synthetic Data and Expert Curation. In the dynamic world of AI and chatbot technology, the right dataset can make the difference between a...
GPT Referee: Using GPT-4 to Evaluate Synthetically Generated Responses in Conversational Systems
Introduction: At Bitext, we value data-driven analysis. Therefore, we've thoroughly assessed our Hybrid Datasets using our top-notch AI text...
LLMs Cannot Find Any More Data; What Are They Going to Do Now?
Finite Data: Where to Go When the Data Runs Out Data is often called the oil of the AI industry. The metaphor almost works, except for the fact that...
Synthetic Text Datasets: Teaching Business Strategy to LLMs
Hailed as the future of business, or even the future of humanity, Large Language Models (LLMs) like GPT-3.5, LLaMa V2, MPT, and Falcon can quickly...