
Learn to build a Christmas gift generator using ChatGPT, React Native, and Next.js. Create web and mobile apps, integrate AI-powered suggestions, and deploy your project with step-by-step guidance.

Learn to build a React Native todo app using ChatGPT, covering setup, components, styling, data persistence, and advanced features. Gain insights into AI-assisted development and mobile app creation.

Learn to build a voice assistant using OpenAI's ChatGPT and Whisper APIs with Python and Gradio. Create an interactive system that converts speech to text, processes it, and responds audibly.

Learn prompt engineering techniques for financial NLP tasks using GPT-3, including data extraction, entity recognition, and sentiment analysis. Gain practical skills for structured output and text classification.

Explore chatbot memory implementation in LangChain, including Conversation Chain, Summary Memory, and Buffer Window Memory. Learn to enhance AI conversations with context retention.

Learn to enhance Llama 2 using Retrieval Augmented Generation (RAG). Build a pipeline with Pinecone, Llama 2 13B, and integrate it using Hugging Face and LangChain for improved, up-to-date language model performance.

Master advanced ChatGPT prompt engineering techniques to enhance AI interactions and build powerful applications using Python, APIs, and user interfaces.

Explore the impact of Generative AI on workplaces with Stanford professor Arvind Karunakaran. Learn about emerging capabilities, challenges, and how to prepare your organization for this transformative technology.

Explore practical applications of ChatGPT for enhancing creativity and innovation in various professional fields through real-world examples and in-tool demonstrations.

Discover advanced ChatGPT prompting techniques to enhance creativity, boost productivity, and generate high-quality outputs. Learn to optimize results and streamline your workflow.

Explore the evolution of open language models, covering key techniques, datasets, and models like Alpaca and QLoRA. Gain insights into the future of aligning these models for easier use.

Explore the impact of Generative AI on workplace training, employee duties, and skill development. Learn strategies for integrating AI tools to enhance individual and team performance in the evolving work landscape.

Explore cognitive maps in large language models, their performance in graph-based tasks, and implications for AI and neuroscience with Ida Momennejad.

Explore the impact of AI on society, challenges of generative AI tools, and the need for digital literacy and governance in rapidly evolving technology landscapes.

Explore the concept of intelligence, comparing human and machine cognition, and discuss AI's potential impact on society with experts John Krakauer and Alison Gopnik.

Learn to create a GPT-2 model for Python code generation, covering data acquisition, cleaning, preprocessing, tokenization, training, and testing.

Explore the RAG (retrieval-augmented generation) pattern in this 31-minute conference talk from Devoxx. Learn the fundamental concepts behind RAG and gain hands-on experience setting up a practical RAG infrastructure using Docker. Discover how to configu…

Explore the integration of Java with AI and large language models in this comprehensive conference talk. Learn how to consume, train/retrain, and infer various AI models, including LLMs like OpenAI, Llama, Gemma, and Mistral. Discover practical applicati…

Learn how to generate descriptive captions for images using Python and PyTorch in this 16-minute tutorial. Explore the process of automatic image captioning with the pre-trained 'nlpconnect/vit-gpt2-image-captioning' model from Hugging Face. Set up the V…

Explore DuckDB's underrated search capabilities and its potential within an LLM stack in this 13-minute talk by Mehdi Ouazza, an experienced data engineer and developer relations lead at MotherDuck. Discover how DuckDB's versatile and efficient search me…

Dive into an extensive tutorial on synthetic data generation and fine-tuning techniques for large language models like OpenAI GPT-4o and Llama 3. Learn how to create synthetic questions and answers, implement chain of thought reasoning, and augment data…