Bots Correspondent Database 
Nanonets
OCTOBER 5, 2023
A Zendesk Answer Bot, powered by Large Language Models (LLMs) like GPT-4, can significantly enhance the efficiency and quality of customer support by automating responses. In simple terms, RAG enables the AI to pull in relevant information from a database or other sources to support the generation of more accurate and informed responses.
Nanonets
APRIL 14, 2023
Traditionally, this term referred to the manual process of examining paper or electronic documents and entering data into databases. These tools can then extract data from these documents and turn them into structured data that can be easily integrated into databases and other systems.
PYMNTS
JULY 21, 2020
They might hack databases to obtain information like consumers’ emails and phone numbers or they might find such information already available on the dark web from previous data breaches. Fraudsters that have gained control over a legitimate account can then easily steal victims’ money, and P2P payment platforms must therefore stand on guard.
Nanonets
JULY 31, 2023
However, these required substantial manual effort in training and maintaining the bots, and their ability to understand and process PDF content was limited. We create a vector database using the chunks. We will save it the database for future use as well. We install the required modules using pip.
Nanonets
MAY 22, 2023
The answerbot revolutionizes the handling of Zendesk tickets, providing swift responses, leveraging information from your website in the Zendesk database, and delivering a seamless workflow by updating tickets in Zendesk, all contributing to a personalized Zendesk chatbot experience. It listens for new Zendesk tickets.
FICO
JANUARY 19, 2022
By using bots to create digital art and ascribing them to a fake identity that hides behind a nickname, you can achieve nearly peak anonymity. The graphs below show the top fraud types reported to the FTC in 2019 and corresponding dollar loss amounts. Credit card fraud was the FTC’s second most-reported fraud type in 2019.
Nanonets
NOVEMBER 15, 2023
from langchain.prompts import ChatPromptTemplate # Defining a chat prompt with various roles chat_template = ChatPromptTemplate.from_messages( [ ("system", "You are a helpful AI bot. With over 100 loaders available, they support a range of document types, apps and sources (private s3 buckets, public websites, databases).
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