AI Insider #1
Welcome to the first edition of our AI Insider Newsletter!??
Every two weeks, we’ll provide you with fresh insights into AI developments, cutting through the buzz to highlight real-world business applications. Our goal is to focus on how generative AI can drive real value for companies.?
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Azure adds real-time speech to GPT-4o for voice-powered apps?
Microsoft Azure has launched a preview of its GPT-4o-Realtime API, integrating advanced audio and speech capabilities into the Azure OpenAI Service. This update allows developers to create real-time, voice-driven applications with audio input and output, enabling natural conversations and faster response times. The model also supports multilingual interactions, offering a versatile tool for industries like virtual assistants and customer service. This feature provides smoother, more engaging user experiences.?
Read the full article: https://azure.microsoft.com/en-us/blog/announcing-new-products-and-features-for-azure-openai-service-including-gpt-4o-realtime-preview-with-audio-and-speech-capabilities/?
Harnessing real-time knowledge with GenAI?
All LLMs have a knowledge cutoff date? , meaning they only have access to information available up until a certain point. In other words, their training data doesn’t include events or developments that happened after the training began. This is a serious drawback in business scenarios, where access to real-time data is critical.?
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Fortunately, there is a solution to this problem: function calling. This is the capability of LLMs to execute a specific operation allowing developers to integrate the LLM with external tools, APIs, or functions, enabling the AI to perform tasks beyond generating text. In this way, an LLM-powered solution can retrieve real-time data, e.g., sales figures from a CRM system or stock exchange prices.?
Will large context windows kill RAG pipelines??
Traditionally, retrieval-augmented generation (RAG) pipelines have been essential for LLMs to access external information. However, with the advent of large context windows that can handle even 1 million tokens (roughly 700,000 words), the future of RAG pipelines is uncertain. Could this innovation make RAG pipelines obsolete, or will they continue to play a crucial role? Discover how large context windows might reshape AI’s ability to process and retrieve information, and what this means for businesses that rely on AI-driven solutions.?
Artificial intelligence won’t replace engineers and managers in factories, but it can help boost OEE?
Our virtual assistant for production departments allows engineers and maintenance technicians to analyze data from IIoT sensors in real time. This enables better prediction of necessary repairs, helping to avoid costly downtime and improve overall equipment effectiveness (OEE).?