Computer Vision in Augmented Reality: Applications and Enhancements
Explore computer vision's role in augmented reality, covering applications in healthcare, face recognition, and biometric authentication. Includes practical demo.
Everything to Know About ChatGPT: Dialogue, Backend, API, and Python Implementation
Explore ChatGPT's dialogue capabilities, backend operations, API, and Python implementation. Gain comprehensive insights into this specialized AI technology.
Revolutionizing Test Automation with Chat GPT - Harnessing the Power of AI for Smarter Testing
Explore AI-powered test automation using ChatGPT. Learn to create efficient test scenarios, understand benefits and limitations, and revolutionize your testing approach.
Using Vector Databases with LLMs - Part One
Explore vector databases for LLMs, enhancing audio and visual data processing, recognition, and search capabilities.
Using Vector Databases with LLMs - Part Two
Explore advanced vector database applications for LLMs, enhancing audio/visual recognition and search capabilities.
AI Art: Ethical Considerations, Technologies, and Intellectual Property Protection
Explore AI art's ethical implications, emerging technologies for artist protection, and legal considerations in this thought-provoking discussion.
How to Finetune and Develop Your Own Large Language Model
Explore techniques for fine-tuning and developing custom large language models, enhancing your AI capabilities and understanding of advanced NLP concepts.
AI and ML in Test Automation
Explore AI and ML integration in test automation to enhance efficiency, accuracy, and adaptability in software testing processes.
Testing AI Chatbots - Strategies, Challenges, and Best Practices
Explore strategies, challenges, and best practices for testing AI chatbots to ensure seamless user experiences and enhance conversational AI solutions.
Generative AI on Vertex AI Studio: Applications and Prototyping
Explore Generative AI applications and leverage Google's Vertex AI Studio for prototyping and testing models in this informative webinar.
Introduction to Azure AI Services
Explore Azure AI's suite of tools for building intelligent applications with NLP, search, monitoring, translation, speech, vision, and decision-making capabilities.
Testing Generative AI Solutions
Explore strategies for testing generative AI solutions that produce natural language responses and human-like interactions.
Building AI Applications Using Semantic Kernel
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.
GenAI in Testing - Architecting the Future of Quality Engineering
Explore GenAI's impact on testing, from automated generation to intelligent defects. Learn key components, strategies, and real-world benefits for quality engineering.
Autogen(.NET) - Building GenAI Applications with AutoGen
Build dream teams of AI specialists with AutoGen(.NET), enhancing productivity through seamless collaboration of diverse AI capabilities for complex problem-solving.
Prompt Engineering 101 - Introduction and Key Principles
Master the art of crafting effective prompts for AI language models. Learn key principles, ethical considerations, and practical techniques to optimize AI interactions and outputs.
CyberMirage: AI DeepFake LIVE Demo
Witness a groundbreaking AI DeepFake LIVE demo showcasing the viral CyberMirage technology. Explore cutting-edge cybersecurity implications with seasoned expert Brandon Kovacs at HackMiami XI.
Platform Engineering and AI - How They Impact Each Other
Explore how GenAI transforms platform engineering and Internal Developer Platforms. Learn AI's impact on SDLC and engineering effectiveness from industry experts.
GenAI for Observability in the Serverless World
Harness GenAI to enhance serverless observability, leveraging vector databases and ML for improved data ingestion, log analysis, and problem resolution.
From OpenAI to Open Source AI: Navigating Between Commercial Ownership and Collaborative Openness
Explore the balance between commercial AI and open-source collaboration, examining the implications for innovation, ethics, and accessibility in artificial intelligence.
Collaborative Intelligence - AI and Humans in the Loop
Explore AI and human collaboration in DevOps, examining potential impacts on team structures and automation practices.