Category: Discovery
-
Azure OpenAI Insights
The use of Azure OpenAI within businesses is no longer a question. However, issues such as cost and performance optimization, especially during scaling, still tend to temper the ambitions of many customers. Azure Monitor addresses these questions through the analysis of collected data. Today, I would like to discuss an Azure Workbook created by Microsoft…
-
Azure AI Studio
Discovering the new Studio What strikes you when you first open Azure AI Studio is how the studio takes up existing elements with the aim of becoming a hub for projects around foundation models. There are some functionalities already implemented in Azure Machine Learning : a showcase of generative AI models to reinforce the “MaaS”…
-
Lyria – Google for Music Generation
Lyria is a music generation model developed by DeepMind (a Google company). This AI is designed to generate music composed of instrumental and vocal tracks. Lyria is also skilled at ensuring musical continuity across phrases and verses… all while allowing nuanced control over the style of the generated result. Lyria is currently being used in…
-
Prompt Flow : Experiment with LLM(s)
Azure Machine Learning Prompt Flow is a development tool designed to simplify the development of AI applications that interact with Large Language Models (LLMs). It facilitates the experimentation and deployment of AI applications. Developers can easily test prompt variants and evaluate their performance. The interface also offers endpoint deployment directly from the studio. In this…
-
CLIP & Florence : Computer Vision with NLP
Recently, I have talked a lot about OpenAI and GPT through various integrations. But even though NLP is the most prominent field with generative AIs, it’s not the only one. Today, I’m going to talk about Computer Vision through OpenAI’s CLIP model and Microsoft’s Florence model and their integration into the new features offered in…
-
VectorSearch & AI Assistant
Some time ago, I was writing about how OpenAI and Cognitive Search could change enterprise search. Today, I will discuss another approach : vector databases for enterprise search; and how the generation of answers augmented by document retrieval (RAG) can rely on vector comparison. I will briefly explain the concepts of embeddings and vectorization, and…
-
News on Azure OpenAI (June 2023)
OpenAI and Azure OpenAI are leading the generative AI market, gaining significant traction. OpenAI’s groundbreaking GPT models and continuous advancements make it a frontrunner in language generation. Azure OpenAI, a collaboration between OpenAI and Microsoft Azure, brings generative AI to a broader businesses audience through scalable cloud infrastructure. Together, they drive adoption, shape the future…
-
Prompt Engineering – Communicate with LLM
Prompt Engineering refers to the process of designing and crafting effective prompts or input instructions to guide the output of the language model. It involves carefully constructing the initial text given to the model to obtain the desired results. This is crucial for obtaining better results because the model’s output heavily relies on the provided…
-
Enterprise GPT
As mentioned in my previous post (Azure OpenAI), “Enterprise GPT” is an integration of Azure OpenAI with other cognitive services aimed at providing a ChatGPT-like experience based on internal company data. To achieve this goal, Azure OpenAI is paired with Azure Cognitive Search to provide answers based on internal company documents (HR, legal, marketing, etc.).…
-
Azure OpenAI
OpenAI in Azure If you’re interested in AI, you’ve undoubtedly heard of OpenAI and its AI models (ChatGPT, DALL-E, Codex). The most curious among you also know that OpenAI is in partnership with Microsoft for the use of the Azure cloud and AI development. The goal here is to accelerate research around generative AI and…
AI Data Vision 