
Learn to create an AI-powered sales bot using GPT-4, Next.js, and SingleStore. This tutorial guides you through integrating your inventory data to build a responsive chatbot for enhanced customer interactions and sales.

Explore creating intelligent apps with .NET and Azure OpenAI. Learn to leverage large language models, understand AI fundamentals, and see a live demo of AI building AI apps using .NET and OpenAI.

Explore latest AI advancements: AGI predictions, Mamba-2, NLLB, GPT-4 feature extraction, structured LLM generation, and KLING. Gain insights into cutting-edge research and practical applications in machine learning.

Explore low-latency screen-to-voice technology with impressive OCR capabilities, enabling real-time question answering and problem explanation from screen content.

Comprehensive tutorial on reproducing GPT-2 (124M) from scratch, covering implementation, optimization, training setup, and results analysis. Includes practical coding and performance tuning tips.

Explore effective prompt design for Large Language Models, focusing on reducing uncertainties and achieving desired outputs through creative and meticulous techniques. Includes live prompt writing with audience input.

Demystifying LLMs and AI: A concise explanation of neural networks, image recognition, text processing, and GPT models, revealing the non-magical nature of these technologies.

Explore Gemini, Google's multimodal LLM, and learn to integrate it into applications using Java and LangChain4j. Discover techniques for data extraction, text classification, and knowledge extension with RAG.

Explore AI's impact on software development, discussing work process changes, coding challenges, and preparation for the future through code examples and audience interaction.

Magician David Kwong demonstrates how AI enhances our capacity for wonder, using ChatGPT in a mind-reading performance to show technology's role in elevating magical experiences and human awe.

Exploring AI's transformative impact on education and healthcare in Vietnam, emphasizing its role as a companion rather than a replacement for human expertise and the country's unique position in the AI revolution.

Learn to build an AI API by combining multiple language models using Langflow, LangChain, Groq, and OpenAI. Discover how to integrate and leverage different LLMs for enhanced AI capabilities.

Comprehensive tutorial on using Claude 3.5 Sonnet's tool/function calling capabilities, covering various applications with practical examples and implementation workflows.

Explore practical applications of generative AI in app development. Learn about Large Language Models, prompt engineering, and real-world examples of integrating AI into customer support applications.

Explore poisoning attacks on text-to-image models, focusing on the Nightshade technique's ability to manipulate AI-generated images through targeted data manipulation.

Explore AI's mathematical foundations and their integration into K-12 education. Discover low-floor, high-ceiling resources for teaching AI concepts across grade levels.

Explore AI-enhanced network troubleshooting using Langchain, interfacing LLMs with devices to extract crucial information. Gain insights and witness a live demonstration.

Explore the evolution of generative AI, examining the balance between commercial interests and open collaboration. Analyze openness levels, computing power dynamics, and diverse projects shaping AI's future.

Explore data version control techniques for efficient ML model development, addressing reproducibility challenges and enabling scalable cloud-based training using open-source tools like Langchain and TensorFlow.

Discover how to leverage ChatGPT for creating dynamic PowerPoint presentations, from generating content to automating tasks with VBA coding, enhancing your slideshow creation process.

Explore the synergy of Machine Learning and Symbolic AI, combining data-driven insights with human-readable rules for transparent, explainable, and powerful AI applications.