
Learn effective prompt engineering techniques for GPT-3 and other LLMs. Explore anatomy, temperature, few-shot training, external information, and context windows to enhance AI-generated outputs.

Explore Generative AI, including GPT-3 and AI Voices, to create engaging content. Learn about types, examples, and applications through demonstrations and live demos.

Introduction to LangChain framework for building apps with large language models, comparing GPT-3 and open-source alternatives, and exploring key components for advanced NLP applications.

Discover how to tune GPT-3 hyperparameters efficiently on a single GPU using µTransfer, a technique based on the maximal update parametrization that enables optimization of large language models with minimal resources.

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 synthetic data's transformative potential in AI, focusing on data quality, augmentation, bias, and privacy for foundational language models.

Unlock the power of EHR data using deep learning NLP. Explore frameworks for extracting clinical information, leveraging pretrained transformer models, and addressing challenges in applying language models to healthcare data.

Explore Azure AI innovations for building intelligent applications, including Cognitive Services, Applied AI, and Machine Learning, with demos on speech, vision, and custom neural voice technologies.

Explore OpenAI's Codex model for coding challenges, from basics to advanced techniques. Learn prompt engineering, 3D scene building, and Minecraft bot API integration for enhanced AI-powered development.

Explore Azure OpenAI Service and GitHub Copilot for startups. Learn to deploy GPT-3, fine-tune language models, and leverage AI-powered code suggestions for various use cases in this Microsoft presentation.

Explore GPT-3 integration with AI voices for creating realistic ad copy, conversations, and voiceovers. Learn best practices, use cases, and get answers to top questions about this innovative technology.

Explorez l'intégration de ChatGPT dans le développement d'applications Android pour la création de contenu, de fonctionnalités et de code personnalisé, illustrée par des exemples concrets.

Build an interactive "Talk to Wikipedia" app using Streamlit, GPT-3, and OpenAI embeddings. Learn to integrate APIs, debug in VS Code, and deploy your creation online.

Explore AI-powered image generation using Midjourney and Stable Diffusion 1.5. Learn to create prompts with GPT-3, compare results, and experiment with various styles and techniques for stunning digital art.

Evaluate LLM and agent performance using Langchain, custom prompts, and Huggingface datasets. Learn to create environments, review code, and assess OpenAI GPT-3 capabilities.

Explore the transformative impact of Generative AI and NLP, from GPT-3's capabilities to practical applications in text generation and voice cloning, while addressing ethical considerations and corporate implementation.

Explore the comparative analysis of 12 AI language models in clinical settings, examining their effectiveness in processing health records and performance against specialized medical systems.

Explore emergent abilities in large language models, including chain-of-thought prompting and instruction finetuning, and their potential impact on AI capabilities.

Explore AutoConcierge, a system combining GPT-3 and answer set programming to create realistic, domain-specific conversational agents that truly understand user utterances.

Comprehensive analysis of GPT-3's capabilities, exploring its performance on various NLP tasks and discussing its potential impact on AI research and applications.