OpenAI GPT-3 - Prompt Engineering for Financial NLP
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.
Chatbot Memory for Chat-GPT, Davinci + Other LLMs - LangChain
Explore chatbot memory implementation in LangChain, including Conversation Chain, Summary Memory, and Buffer Window Memory. Learn to enhance AI conversations with context retention.
Advanced ChatGPT Prompt Engineering Course
Master advanced ChatGPT prompt engineering techniques to enhance AI interactions and build powerful applications using Python, APIs, and user interfaces.
How ChatGPT and Generative AI Will Shape the Future of Work
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.
How You Can Use ChatGPT to Increase Your Creative Output
Explore practical applications of ChatGPT for enhancing creativity and innovation in various professional fields through real-world examples and in-tool demonstrations.
How to Use ChatGPT to Increase Your Creative Output - Part Two
Discover advanced ChatGPT prompting techniques to enhance creativity, boost productivity, and generate high-quality outputs. Learn to optimize results and streamline your workflow.
Aligning Open Language Models - Stanford CS25 Lecture
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.
AI in the Workplace: Rethinking Skill Development
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.
Just Machine Learning: Challenges and Governance in the Age of AI
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.
Nature of Intelligence - What is Intelligence? - Episode 1
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.
Generating Python Code with GPT
Learn to create a GPT-2 model for Python code generation, covering data acquisition, cleaning, preprocessing, tokenization, training, and testing.
AI News Roundup: Latest Developments in Video Generation, Language Models, and Robotics
Explore cutting-edge AI advancements in video generation, language models, and robotics. Gain insights into open-source tools, updates from tech giants, and emerging technologies shaping the future of AI.
AI for Developers: Real Talk on AI Capabilities and Limitations
Explore AI's current capabilities, limitations, and practical applications with insights from an AI solopreneur. Learn about getting started, useful tools, and the role of open source in AI development.
Physics 4B: Electrostatics Multiple Choice Timed Assessment Demos - Lecture 3 and 4
Explore electrostatics through timed multiple-choice assessments, comparing results with and without AI assistance to enhance understanding and problem-solving skills.
Exploring the Power of ChatGPT: Revolutionizing AI Applications
Unlock ChatGPT's potential in AI applications, from creative tasks to secure software development. Explore its capabilities, security implications, and transformative impact across various industries.
Data Versioning in Generative AI: A Pathway to Cost-Effective ML
Explore data versioning strategies for Generative AI, focusing on managing large-scale unstructured data and optimizing resource usage in model scoring and API interactions.
Supercharging Search with Language Models (LLMs)
Explore how Instacart revolutionized search using Language Models, enhancing user experience with personalized recommendations and improved results.
Building Your LLM Factory
Discover strategies for integrating LLMs into enterprise infrastructure, overcoming challenges, and leveraging cloud computing for AI applications.
Your AI Applications Need Guardrails: How to Build Them
Learn to build robust guardrails for AI applications, ensuring consistent and accurate outputs from Large Language Models in production environments.
Fine-Tune LLMs or Integrate 3rd Party APIs? A Financial Case Study
Explore LLM integration strategies for MLOps, comparing fine-tuning and API use. Learn key considerations, challenges, and risk mitigation techniques for implementing advanced language models.
Making ChatGPT Funny with Prompt Optimization - MLOps World
Discover techniques to enhance ChatGPT's humor through prompt engineering, overcoming AI limitations and unlocking its comedic potential.