
Explore using pgvector and PostgreSQL to automate finding photos of yourself at events. Learn to extract faces, calculate embeddings, and query image data efficiently.

Harness PostgreSQL's extensibility to build AI-enabled apps using pgvector and Azure OpenAI. Gain hands-on experience through live demonstrations and practical insights.

Explore ChatGPT's impact on knowledge consumption, learn about LLM grounding and vector databases, and understand OpenAI's technology for efficient data retrieval and scalability.

Design and build AI applications using vector search with Azure OpenAI and Azure Cosmos DB, enhancing your skills in creating advanced AI solutions.

Explore GPT-4's capabilities and Azure's integration for innovative AI applications. Gain insights into cutting-edge advancements for developers, data scientists, and business professionals.

Master data cleaning techniques using Fabric and OpenAI to transform chaotic datasets into valuable insights, enhancing your data quality skills for improved analysis and decision-making.

Discover how to harness ChatGPT's power in 2024. Learn essential techniques, explore practical applications, and unlock AI's potential for your tasks.

Discover how to build and optimize an AI recommendation engine using Rails, Postgres, and OpenAI. Learn scaling techniques for handling unique AI data needs.

Explore a conversation simulator leveraging OpenAI's API for crisis response training, reducing anxiety for new responders and enhancing support for people in crisis.

Explore Azure API Management integration with generative AI models, covering token limits, load balancing, semantic caching, and practical implementation scenarios.

Explore ChatGPT's dialogue capabilities, backend operations, API, and Python implementation. Gain comprehensive insights into this specialized AI technology.

Explore LLM integration in applications using Semantic Kernel SDK. Learn to create AI agents, leverage plugins, and enhance existing apps with OpenAI, Azure, and Hugging Face models.

Explore the balance between commercial AI and open-source collaboration, examining the implications for innovation, ethics, and accessibility in artificial intelligence.

Explore AI-powered app development: streamline creation of a meditation app using Azure AI Speech, DALL-E, Azure OpenAI, and GitHub Copilot. Learn to leverage AI for rapid prototyping and market-ready mobile applications.

Explore using Azure OpenAI GPT via REST endpoints with PowerShell. Learn about authorization, RBAC, request formatting, and practical implementation for AI-powered applications.

Build an AI-powered investment app using chain prompting, frontend design, backend development, and image generation. Learn to integrate OpenAI models for financial analysis.

Explore Retrieval Augmented Generation with Syed Asad. Dive into production issues, embedding models, inference layer experiments, and the evolving landscape of AI engineering in this insightful discussion.

Explore prompt engineering basics with GPT-4, GPT-3.5 Turbo, and Mistral 7B through practical examples and hands-on demonstrations.

Explore DALL-E and Stability.AI text-to-image models, learning to generate, edit, and save AI-created images using practical notebooks and hands-on examples.

Explore Neo4J as a vector store using Langchain, OpenAI embeddings, and Wikipedia data for advanced data science and machine learning applications.

Explore AI advancements: OpenAI o1, Agentforce, AI in fantasy football, and machine unlearning. Gain insights into cutting-edge technologies and their applications.