Generative AI

Introduction: In the modern dynamic digital economy, users and developers are increasingly using the API of OpenAI in a variety of applications that require the support of AI: chatbots and content generation, recommendations and automated processes, etc. This brings with it the challenge of controlling costs, though. With the increasing adoption, there is a continuous need to have an in-depth view of managing costs in OpenAI API. A well-thought-out action plan not only helps keep budgets in check but also enables expansion of operations without incurring unnecessary expenses. In this blog, we’ll walk you through the essentials of managing OpenAI API usage, understanding pricing dynamics, practical cost-saving tips, and how generative AI training can empower your team to make smarter decisions. Understanding the Pricing Dynamics of OpenAI APIs: OpenAI APIs are available on a per-use basis which charges users per processed token. Tokens are basically fragments of words and the amount of...

Introduction: The introduction of Large Language Models (LLMs) such as GPT-4 and Claude has transformed the way businesses handle language, communicate with customers, and make decisions. LLMs are rapidly becoming a necessity in almost all industries due to their capabilities of comprehending and writing in a human-like style. Enterprises are on the hunt for imaginative uses of LLMs in their core actions, including automated workflows and experience improvement for customers. Your impact can allow you to gain a competitive advantage in terms of understanding the applications of LLMs as you are a business leader, technical decision-maker, or IT strategist. The blog discusses the best LLM application in the business world, the importance of generative AI training, and points to relevant frameworks and skills required to implement them in practice. 1.  LLMs in Customer Support Automation Consumer support is one of the first and most effective uses of enterprise-related LLMs. Chatbots...