Generative AI in Game Development - From Art Assets to Industry Evolution
Explore the future of game development with AI-generated assets, industry changes, and the intersection of generative AI with science, biology, and human evolution.
LLMOps - LLM Bootcamp
Explore LLMOps principles for improving language model applications, covering model selection, prompt management, testing strategies, evaluation metrics, deployment, and test-driven development.
Launch an LLM App in One Hour
Learn to rapidly prototype and deploy an AI-powered app using LLMs. Explore the process from initial concept to MVP deployment in just one hour.
What's Next? - LLM Bootcamp
Explore the future of AI: multimodal robots, scaling limits, AGI possibilities, and safety concerns. Gain insights into key questions shaping the next era of language models and artificial intelligence.
LangChain Demo and Q&A with Harrison Chase
Explore LangChain, a framework for building LLM applications, through a demo and Q&A with its creator. Learn about its features, benefits, and potential applications in AI development.
Foundation Models - FSDL 2022
Explore Transformers, Large Language Models, prompt engineering, and innovative applications like CLIP and image generation in this comprehensive overview of foundation models.
UX for Language User Interfaces - LLM Bootcamp
Explore UX principles for Language User Interfaces, including design patterns, case studies of Copilot and Bing Chat, and key considerations for creating effective AI-powered interfaces.
Augmented Language Models - LLM Bootcamp
Explore techniques for enhancing language models with external context: retrieval augmentation, chaining, and tool use. Learn about embeddings, databases, and practical applications in AI development.
Project Walkthrough - AskFSDL - LLM Bootcamp
Walkthrough of building an LLM-powered Discord bot for answering questions about neural network applications, covering tooling, data cleaning, infrastructure, frontend, embeddings, and monitoring.
LLM Foundations - LLM Bootcamp
Explore foundational concepts of large language models, including machine learning basics, Transformer architecture, and notable LLMs. Gain insights into pretraining datasets and instruction tuning.
Learn to Spell - Prompt Engineering
Explore intuitions and techniques for effective prompt engineering, including decomposition, reasoning, and reflection, to unlock the full potential of language models.
Build Chat AI Apps with Streamlit and LangChain
Learn to create interactive AI chat applications using Streamlit and LangChain, combining powerful language models with specialized tools for enhanced functionality and user experience.
LangChain's Caching Mechanism for LLMs - Benefits and Implementation
Optimize LLM development with LangChain's caching mechanism to reduce API calls, save costs, and improve application speed.
Guidance: A Language for LLM Prompt Design
Tutorial on Guidance, an open-source project for controlling language models effectively. Learn to create better interfaces between prompts and outputs, applicable to various LLMs including GPT and open-source models.
GPT Builds Entire App from Prompt - Featuring SMOL Developer
Explore AI-powered app development using SMOL Developer, a tool that generates web applications from text prompts, showcasing the potential of GPT in streamlining software creation.
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.
LangChain and HuggingFace Integration - Using GPT-2 Without OpenAI Credits
Explore LangChain with GPT-2 and HuggingFace for AI development without OpenAI costs. Learn to integrate cutting-edge LLMs, text embeddings, and vector stores for innovative applications.
LangChain and OpenAI for Querying Databases and CSV Files with Natural Language
Learn to query databases and CSV files using natural language with LangChain and OpenAI, converting English to SQL or pandas commands for efficient data retrieval and analysis.
LangChain and OpenAI Tutorial - Building a Q&A System with Custom Text Data
Learn to build an AI-powered Q&A system using LangChain and OpenAI. Explore text embeddings, vector stores, and agent chaining to create a custom question-answering tool with your own data.
How to Use ChatGPT for Digital Marketing
Explore ChatGPT's potential in digital marketing, from content creation to customer engagement. Learn to leverage AI for streamlined strategies and innovative campaigns.
Large Language Models Simplified
Explore LLM concepts, prompt engineering, and augmented LLMs to build AI applications. Gain hands-on experience and expert insights into the cutting-edge world of Language Models.