Large Language Models Are Not Necessarily Generative AI - Karin Verspoor, PhD
Explore the distinctions between Large Language Models and generative AI, understanding their architectures, applications, and specific challenges in natural language processing.
AI News Roundup - Major Developments in Artificial Intelligence
Comprehensive overview of recent AI advancements, including OpenAI's GPTs, xAI's Grok, Humane's AI Pin, and developments from Google, Amazon, and Samsung. Explores AI applications in search, content creation, and entertainment.
Teaching ChatGPT a New Programming Language - Creating a Custom GPT for Keel
Learn to create a custom GPT-4 agent for Keel schema language, explore AI programming, and dive into web development with WebAssembly, TypeScript, and React. Gain insights on AI's potential in software engineering.
Building a Full Stack AI Chatbot with Langchain, ChatGPT, and Singlestore - 2 Hour Tutorial
Build a full-stack AI chatbot using Langchain, ChatGPT, and Singlestore. Learn to train the chatbot on your own data and create a functional application in just two hours.
OpenAI Alternatives: Comparing Retrieval Models for RAG - Cohere Embed v3 and Open Source
Explore top retrieval models for RAG: OpenAI's text-embedding-ada-002, Cohere's Embed v3, and e5-base-v2. Compare performance, inference speeds, and results across various tests to enhance your AI applications.
Securing Generative AI - Back to the Future Edition
Explore a trust framework for generative AI, addressing concerns like data handling, PII leakage, and LLM manipulation through access control, authenticity, auditing, and data protection measures.
ChatGPT 3.5 Turbo Fine-Tuning Tutorial - Specific Tasks with Synthetic Data
Step-by-step guide to fine-tuning ChatGPT 3.5 Turbo for specific tasks using synthetic data, covering when and why to fine-tune, data creation, dataset cleaning, and model testing.
GPT-4 Turbo Documentation Converter to JSON Format
Convert documentation into easily chunkable JSON format using GPT-4 Turbo, enhancing retrieval accuracy. Explore basic to advanced implementations and iteratively improve generated documentation for better searchability.
ChatGPT: From Zero to Hero - Understanding the Technology and Training Process
Comprehensive exploration of ChatGPT's architecture, from fundamental concepts to advanced fine-tuning techniques, covering GPT models, reward systems, and reinforcement learning applications.
Automating Business Tasks with ChatGPT and OpenAI - Tutorial
Learn to automate business tasks using AI, integrating ChatGPT with applications like Gmail, Google Sheets, and Trello for efficient email management, data analysis, and project organization.
LLaMA 2 and Meta AI Projects - Interview with Thomas Scialom
Insightful discussion with LLaMA 2 lead Thomas Scialom, covering his journey, Meta projects, and the future of AI. Explores key concepts like supervised fine-tuning and human preference in language models.
Shaking Up AI Memory - Experimental Insights with Incredi-Mem and GPT-4
Explore an innovative AI memory technique using dynamic summarization and secondary memory to optimize GPT-4 chatbot performance, with code demonstrations and practical insights.
The Future of Generative AI - Possibilities and Challenges
Explore the future of generative AI with Professor Michael Wooldridge, covering its capabilities, challenges, and potential impact on society. Gain insights into machine learning, neural networks, and the evolution of AI technology.
Insane AI News Happening That No One is Noticing - Weekly Roundup
Comprehensive overview of recent AI advancements, including faster GPT-4, DALL-E 3 integration, AI legal challenges, and breakthroughs in robotics, brain imaging, and generative art, highlighting the rapid evolution of AI technologies.
Fine-Tuning ChatGPT 3.5 with Synthetic Data from GPT-4 - Step-by-Step Guide
Explore step-by-step fine-tuning of ChatGPT 3.5 using GPT-4 synthetic data. Learn dataset selection, generation, model training, and evaluation for improved LLM results.
AutoGen Introduction: Step-by-Step Guide Including Docker Setup
Step-by-step guide to using AutoGen library for creating agent interactions with GPT-4, including config setup, conversation history saving, and Docker integration for safe code execution.
Fast and Accurate Deep Neural Networks Training
Exploring LARS and LAMB optimizers for scaling deep learning on supercomputers, enabling faster training and higher accuracy in AI applications across various industries.
The Emergence of General AI for Medicine - Distinguished Lecture
Explore the potential of large language models in revolutionizing healthcare and medical science, discussing benefits, risks, and future implications of AI in medicine.
DALL-E 3 Comparison: ChatGPT vs Bing Image Creator
Comparative analysis of DALL-E 3 in ChatGPT and Bing Image Creator, exploring strengths and weaknesses through various use cases like video thumbnails, book covers, textures, and film posters.
GPT-4 Vision: 10 Amazing Use Cases and Applications
Explore 10 innovative applications of GPT-4 Vision, from app creation to image analysis, showcasing its versatility and potential in various real-world scenarios.
Set Up a Llama2 Endpoint for Your LLM App in OctoAI
Learn to create a Llama2 endpoint in OctoAI for building LLM applications using RAG framework. Covers model cloning, endpoint setup, cost and hardware preferences, and testing in a sample app.