Lior King’s Post

published on 2024-12-10 17:34:28 #Azure #Foundry #OpenAI #Embeddings #REST #Endpoint The Azure AI Foundry OpenAI Embeddings REST Endpoint enables developers to utilize the advanced capabilities of the OpenAI platform to generate and access high-dimensional numerical representations, commonly referred to as embeddings, from text data. # # # # # #

See details below on the latest Coretek Developed product offering. The Document Preview feature really stands out to me because you need to be able to quickly check the sources AI is getting its answers from. Coretek's Enterprise IQ represents the forefront of AI-powered document intelligence, designed to streamline business processes and enhance efficiency. Powered by Azure OpenAI, Enterprise IQ provides a user-friendly interface that simplifies complex document intelligence tasks. The solution includes a document preview feature for AI-generated responses, providing an efficient and reliable way to review and validate AI outputs. This ensures the highest level of accuracy and consistency in managing your documents. Interested in learning more? Contact us to get started: https://okt.to/o5GAD6 #EnterpriseIQ #DocumentIntelligence #AIInnovation #Coretek #AzureOpenAIServices

Coretek's Enterprise IQ represents the forefront of AI-powered document intelligence, designed to streamline business processes and enhance efficiency. Powered by Azure OpenAI, Enterprise IQ provides a user-friendly interface that simplifies complex document intelligence tasks. The solution includes a document preview feature for AI-generated responses, providing an efficient and reliable way to review and validate AI outputs. This ensures the highest level of accuracy and consistency in managing your documents. Interested in learning more? Contact us to get started: https://okt.to/ly90Ra #EnterpriseIQ #DocumentIntelligence #AIInnovation #Coretek #AzureOpenAIServices

🌐Stay Ahead with Azure OpenAI: Navigating Model Version Upgrades.🌐 🎸 Unlock the future of AI with seamless model version upgrades! 👇 👉 I have been pursuing the topic of Observability Framework for a long time for several reasons (find my comprehensive article on this topic here https://lnkd.in/d9Uch4yn). Among many issues, in the Observaility Framework, it is very important to support and automate testing of new models. Azure OpenAI Service regularly updates its AI models to offer the best features and improvements. Customers receive updates well in advance, with options to manage the transition seamlessly. Staying informed and prepared for version changes ensures your applications remain efficient and robust. Key Points: - Azure OpenAI Service continually releases new AI model versions, incorporating the latest features and improvements. - Customers can select update policies like auto-update or upgrade when expired to manage model versions easily. - Azure provides notification at least two weeks before a new model version becomes the default. - Understanding model behavior changes and compatibility is crucial after version upgrades. - Preparing for these upgrades involves exploring new features and documentation. 🌐 #AzureOpenAI #AIInnovation #CloudSolutions #ModelUpgrades #TechTrends https://lnkd.in/d9EdRQfW

Coretek's Enterprise IQ represents the forefront of AI-powered document intelligence, designed to streamline business processes and enhance efficiency. Powered by Azure OpenAI, Enterprise IQ provides a user-friendly interface that simplifies complex document intelligence tasks. The solution includes a document preview feature for AI-generated responses, providing an efficient and reliable way to review and validate AI outputs. This ensures the highest level of accuracy and consistency in managing your documents. Interested in learning more? Contact us to get started: https://okt.to/dVzOui #EnterpriseIQ #DocumentIntelligence #AIInnovation #Coretek #AzureOpenAIServices

On 11 December 2024, Azure OpenAI deployments using gpt-4o version 2024-05-13 will be updated to version 2024-08-06. This update brings significant enhancements: 🚀 New Feature: JSON Structured Outputs - Developers can now define a JSON Schema for AI model outputs, ensuring structured, consistent data generation, reducing post-processing needs, and cutting costs. 💰 Improved Cost Efficiency - The GPT-4o-2024-08-06 model offers lower costs, with input costs reduced by 50% ($2.50 per 1M tokens) and output costs by 33% ($10.00 per 1M tokens). 🌍 Expanded Availability - The GPT-4o-2024-08-06 API is now globally accessible, with deployments across all US regions and Sweden Central. Stay tuned for these exciting updates! https://lnkd.in/eZ-eG36b Ascent Ascent Dach #openai #azureopenai

One of the most dramatically underrated capabilities of #Kubernetes is it's networking stack 🥞 When I was building our internal #AI services at OpenSauced to power our StarSearch offering, I knew that we'd need something to do inference at massive scale without breaking the bank. OpenAI was a good option to start with: their 3rd party API is very fast, well understood out in the wild, and has flagship class models to build our product on top of. But we quickly ran into a cost bottleneck: Over a period of about 10 days, we spent over $4,000 on almost exclusively gpt-3.5-turbo with abit of gpt-4-turbo sprinkled in. With some quick back-of-the-napkin math, this would have been well over $10k a month and likely surpass $100k yearly. Yikes!! We quickly pivoted to using vLLM, an #opensource inference engine that provides an OpenAI compatible API, on top of a pool of spot T4 GPUs on Microsoft Azure AKS. This DRASTICALLY reduced our costs but also unlocked the capabilities for us to use an agnostic Kubernetes service that any one of our microservices can use as if it was OpenAI's API!!

Excited to share our journey integrating cutting-edge AI to transform client-sales interactions! 🤖 I was fortunate to be part of an exciting project where we integrated OpenAI models into a platform designed to improve interactions between clients and sales teams. Our team focused on building API endpoints and setting up WebSocket communications for real-time messaging. A pivotal aspect was integrating the Whisper model for transcribing conversations and utilizing GPT-3.5 Turbo for speaker classification and managing audio files effectively. 🗣️📊 For deployment, we chose Docker on a Netcup server and utilized AWS services such as EC2 for computing, S3 for storage, and Lambda for serverless functions. Docker ensured consistency across different environments, while AWS enabled seamless scaling to handle extensive data and maintain high availability. ☁️ Throughout the project, our emphasis was on security and optimizing performance to ensure a robust solution. It was rewarding to see how cloud technologies could transform and streamline complex communication challenges, enhancing the overall effectiveness between clients and sales teams. 🔒⚡💼 #AI #OpenAI #Whisper #GPT3 #Docker #AWS #CloudComputing #TechInnovation #WebSockets #ClientEngagement #SalesTechnology