Chatbot with LangChain Agents + GPT 3.5
Learn to build a conversational agent using LangChain and GPT-3.5, leveraging vector search retrieval to provide context from Lex Fridman's podcast for intelligent responses.
OpenAI's Python QuickStart Tutorial - GPT-3, DALL-E 2, and Whisper
Explore OpenAI's Python library for text completion, Q&A, image generation, and speech-to-text. Hands-on tutorial covering GPT-3, DALL-E 2, and Whisper functionalities.
Testing GPT-3's Ability to Solve Complex Riddles and Logical Problems
Explore GPT-3's ability to solve complex riddles and logical problems in this engaging video, testing the limits of AI's reasoning capabilities across 10 challenging puzzles.
GPT 3.5 Fine Tuning Just Announced - Everything You Need to Know
Comprehensive guide to GPT-3.5 fine-tuning: process, data preparation, costs, API usage, and practical examples for leveraging this powerful AI model customization technique.
How to Fine-Tune a GPT-3 Model - Step by Step
Learn to fine-tune GPT-3 models with synthetic data generation, data augmentation, and JSON file preparation. Includes step-by-step instructions and practical testing of the fine-tuned model.
LangChain Agents Deep Dive with GPT 3.5 - LangChain
Explore LangChain agents to enhance LLMs with tools for logic, calculation, and search. Learn implementation, customization, and various agent types to superpower your AI applications.
Cooking with GPT-3 - Don't Try This at Home
Experimenting with AI-generated vegan recipes using random ingredients, showcasing GPT-3's capabilities in culinary creativity and the challenges of following unconventional cooking instructions.
OpenAI GPT 3.5 AI Assistant With Langchain + Pinecone
Build an AI research assistant using OpenAI GPT-3.5, Langchain, and Pinecone to analyze arXiv papers, YouTube content, and articles, enhancing understanding of AI, NLP, and vector search topics.
LLM Chains Using GPT-3.5 and Other LLMs - LangChain
Explore LangChain chains, focusing on LLMChain and utility chains. Learn to build advanced applications with Large Language Models for chatbots, question-answering, and summarization.
Prompt Engineering for GPT-3.5-Turbo, GPT-4
Explore 16 diverse prompts for OpenAI's GPT models, including document processing and creative applications, with practical Python implementations and code reviews.
GPT-3 Tutorial: Building Projects for Email Writing and Ad Slogan Generation
Hands-on tutorial exploring GPT-3's capabilities through practical projects, including LaTeX translation, email composition, and ad slogan generation. Covers API setup, model parameters, and unexpected results.
Foundation Models: Strengths, Weaknesses, and Future Implications - Session 4
Experts discuss foundation models like GPT-3, exploring their strengths, limitations, and societal impact. Topics include knowledge representation, scaling, data choices, sustainability, and ethical concerns.
GPT-3 and Me - How Supercomputer-Scale Neural Network Models Apply to Defensive Cybersecurity Problems
Explore how advanced neural network models like GPT-3 can be applied to solve defensive cybersecurity challenges, enhancing threat detection and response capabilities.
Disinformation at Scale - Using GPT-3 Maliciously for Information Operations
Explores the potential misuse of GPT-3 for large-scale disinformation campaigns, examining its capabilities to generate convincing fake news and the implications for society and information integrity.
How Supercomputer-Scale Neural Network Models Apply to Defensive Cybersecurity Problems
Explore how large-scale neural networks revolutionize cybersecurity, enabling custom explanations of attacker behavior and improved threat detection with limited data. Learn to leverage public models like GPT-3 for security applications.
Word Wranglers & News Navigators - Taming GPT-3 Beast for Media Monitoring
Explore the integration of Large Language Models in media monitoring, from using OpenAI models to training a custom model. Learn about real-world implementation challenges and insights.
Prompt Templates for GPT-3.5 and Other LLMs - LangChain
Learn to create effective prompts for language models using LangChain's PromptTemplates and FewShotPromptTemplates. Explore example selectors and best practices for prompt engineering in this hands-on tutorial.
Generative Question-Answering with OpenAI's GPT-3.5 and Davinci
Explore generative question-answering using OpenAI's GPT-3.5 and Davinci. Learn about app creation, architecture, data indexing, querying, and answer generation in this AI-powered approach.
SETFIT Few-Shot Learning for SBERT Text Classification - Part 43
Discover how SETFIT's few-shot learning approach revolutionizes text classification, outperforming GPT-3 while using SBERT Sentence Transformers for efficient processing with limited training data.
LLM Fine-Tuning - Explained
Explore parameter efficient fine-tuning techniques for large language models, including adapters, prefix-tuning, and LoRA. Learn their importance, implementation details, and performance evaluation.
Artificial Intelligence - You Are Here
Explore the latest AI advancements, from GPT-3 to Meta NLLB, and their impact on various fields. Discover AI's potential for code generation, image creation, robotics, and more, shaping the future of human-AI interaction.