Remove Applications Remove ChatGPT Remove Knowledge Base Remove Open Source
article thumbnail

How We Integrated ChatGPT into Our Slack: Enhancing Privacy, Flexibility, and Collaboration

Xebia

ChatGPT has become increasingly popular among professionals who rely on chat.openai.com to help them out in their daily work. 1 – Enhanced Privacy ChatGPT has a potential risk of leaking sensitive info. If you accidentally insert sensitive information in ChatGPT, you might risk company secrets, just like Samsung did ( article ).

ChatGPT 130
article thumbnail

Generative AI for the Enterprise

Cloudera

Riding the wave of the generative AI revolution, third party large language model (LLM) services like ChatGPT and Bard have swiftly emerged as the talk of the town, converting AI skeptics to evangelists and transforming the way we interact with technology. Sam Altman, Open AI’s CEO, estimates the cost to train GPT-4 to be over $100 million.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Deploying an LLM ChatBot Augmented with Enterprise Data

Cloudera

The release of ChatGPT pushed the interest in and expectations of Large Language Model based use cases to record heights. Every company is looking to experiment, qualify and eventually release LLM based services to improve their internal operations and to level up their interactions with their users and customers.

article thumbnail

5 methods to adopt responsible generative AI practice at work

CIO

Midjourney, ChatGPT, Bing AI Chat, and other AI tools that make generative AI accessible have unleashed a flood of ideas, experimentation and creativity. It’s also key to generate backend logic and other boilerplate by telling the AI what you want so developers can focus on the more interesting and creative parts of the application.

article thumbnail

NLP Summit Insights: How LLMs Are Shaping the Future of Modern Business

John Snow Labs

to be precise) of data scientists and engineers plan to deploy Large Language Model (LLM) applications into production in the next 12 months or “as soon as possible.” of data science teams have implemented LLM applications currently in use by their own or client companies. According to the data collected by Forbes , over a half (53.3%

article thumbnail

Announcing Cloudera’s Enterprise Artificial Intelligence Partnership Ecosystem

Cloudera

In this post we’ll give you an overview of these new and expanded partnerships and how we see them fitting into the emerging AI technology stack that supports the AI application lifecycle. We see AI applications like chatbots being built on top of closed-source or open source foundational models.

article thumbnail

Spoke AI is using generative AI to pull signal from workplace noise

TechCrunch

It is also offering AI-powered summarization “in the context of search”, per Brenssell — a feature it refers to as a “Generative Knowledge Base” (or “intelligent search”) — in the form of a browser plug-in. “And then the second bit is really on the kind of product application side.