Generative AI: What Is It, Tools, Models, Applications and Use Cases

Acting as Interim CEO and Executive Chairman, Jason Kurtz’s career spans more than 30 years. In that time, he has worked for the likes of Accel-KKR Consulting Group; Ariba, Inc; SAP; Arthur Andersen’s Business Consulting; and ESPN. Currently, Kurtz serves on the Board of Directors of iSolved, Unimarket, Pegaso Technologies, and Basware.

We will soon be living in an era where generative AI is the fuel that powers autonomous enterprises. Companies are already leveraging the power of generative AI to deploy, maintain, and monitor complex systems with minimal manual effort. Generative AI allows companies to make decisions faster, take risks more effectively, and respond quickly to changing customer needs. Generative AI is being used to accelerate the process of mini protein drug discovery and development.

ChatGPT Desktop Application

GPT-4 has been marketed as being more inventive and accurate while also being safer and more stable than earlier generations. GitHub Copilot empowers developers to reach new levels of productivity and efficiency like never before.

Generative artificial intelligence (AI) platforms have been making waves in the tech world, with Microsoft-backed OpenAI’s ChatGPT leading the pack. Now, several other platforms have entered the scene, aiming to capitalize Yakov Livshits on the potential of this emerging technology. AI-generated materials have the potential to offer enormous benefits to businesses, but also may pose significant potential legal, regulatory and reputational risks.

NVIDIA AI Platform Software

Figstack offers a suite of artificial intelligence tools to help developers understand and document code more efficiently. Its range of features aims to make coding easier with a natural language interpreter that can comprehend code in almost any programming language. Figstack can also generate documentation and answer questions related to code to assist users in reading and creating code without feeling overwhelmed in the process.

Yakov Livshits
Founder of the DevEducation project
A prolific businessman and investor, and the founder of several large companies in Israel, the USA and the UAE, Yakov’s corporation comprises over 2,000 employees all over the world. He graduated from the University of Oxford in the UK and Technion in Israel, before moving on to study complex systems science at NECSI in the USA. Yakov has a Masters in Software Development.

Data augumentation is a process of generating new training data by applying various image transformations such as flipping, cropping, rotating, and color jittering. The goal is to increase the diversity of training data and avoid overfitting, which can lead to better performance Yakov Livshits of machine learning models. In the long run, AI developers will need to take initiative about the ways they source their data — and investors need to know the origin of the data. All this uncertainty presents a slew of challenges for companies that use generative AI.

One of the primary concerns is that generative AI models do not inherently fact-check the information they generate. They may produce content based on inaccurate or misleading data, leading to the propagation of false information. Worse still is that when they make an error, it isn’t obvious or always easy to figure out that they did. AI-based text generation is a hot topic these days, but these tools are well-established on the market for several years. Choosing the right tool for your business needs will speed up your daily work and provide clear and original content. Here we present a brief comparison of the most popular AI-based text generation tools.

Each text prompt costs approximately one credit, and you can currently buy credits in blocks of 115. Fireflies is an AI meeting assistant software for note-taking and transcribing voices in real-time. Whether you’re in the midst of a brainstorming session or uploading files from a customer interview, Fireflies can instantly capture your conversations in writing.

Amplify your competitive edge with Generative AI: Contextualized offerings for real-world outcomes

After an initial response, you can also customize the results with feedback about the style, tone and other elements you want the generated content to reflect. Early versions of generative AI required submitting data via an API or an otherwise complicated process. Developers had to familiarize themselves with special tools and write applications using languages such as Python. HiredScore is a talent orchestration tool that uses AI, deep integrations, and automation to provide actionable recommendations to your recruiting teams. It uses your historical team data and awareness of your current situation to automatically align your goals with the top priorities of the moment.