Category Archives: Generative AI

OpenAI’s Business Case Studies & Use Cases

OpenAI Business Use Cases for GPT

In today’s fast-paced world, businesses are constantly searching for new and innovative ways to stay ahead of the competition and artificial intelligence (AI) is one of the key technology enabler driving innovation and bringing competitive edge. One of the most promising AI technologies in recent years has been generative AI, which has the potential to transform the way companies operate and interact with customers. Among the leading generative AI platforms available today is OpenAI, a pioneer company in the field of generative AI that is dedicated to advancing AI in a safe and beneficial way. In this blog, we will explore OpenAI’s potential case studies and related use cases for …

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Posted in AI, Generative AI, News. Tagged with , .

Amazon Bedrock to Democratize Generative AI

AWS amazon bedrock generative ai

Amazon Web Services (AWS) has announced the launch of Amazon Bedrock and Amazon Titan foundational models (FMs), making it easier for customers to build and scale generative AI applications with foundation models. According to AWS, they received feedback from their select customers that there are a few big things standing in their way today in relation to different AI use cases. First, they need a straightforward way to find and access high-performing FMs that give outstanding results and are best-suited for their purposes. Second, customers want integration into applications to be seamless, without having to manage huge clusters of infrastructure or incur large costs. Finally, customers want it to be …

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Posted in AI, AWS, Generative AI, Machine Learning, News. Tagged with , .

Generative AI: Scaling Techniques for LLM Models

Scaling techniques for foundational LLMs

In the rapidly evolving world of artificial intelligence, large language models (LLMs) have emerged as a game-changing force, revolutionizing the way we interact with technology and transforming countless industries. These powerful models can perform a vast array of tasks, from text generation and translation to question-answering and summarization. However, unlocking the full potential of these LLMs requires a deep understanding of how to effectively scale these LLMs, ensuring optimal performance and capabilities. In this blog post, we will delve into the crucial concept of scaling techniques for LLM models and explore why mastering this aspect is essential for anyone working in the AI domain. As the complexity and size of …

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Posted in AI, Deep Learning, Generative AI, Machine Learning, NLP.