27_Extra_AI_Tools,_ChatGPT_for_Google,_and_Instantly_Create_Presentation.zip
255.8 MB
27 - Extra AI Tools, ChatGPT for Google, and Instantly Create Presentation Slides
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28 - Course Conclusion and What's Next.zip
10.5 MB
28 - Course Conclusion and What's Next
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LEARN ANYTHING IN 20 HOURS
I need to learn [topic] quickly. Create a 20-hour learning plan that focuses on the most important 20% of skills that produce 80% of the results. Divide it into 10 sessions of 2 hours each, include the best learning resources, and add a 15-minute review at the end of every session.
CREATE A ONE-PAGE CHEAT SHEET
Summarize the key concepts of [topic] on a single page. Use bullet points, diagrams, and examples so I can review it in 5 minutes.
EXPLAIN LIKE IβM 5
Explain the basics of [topic] in the simplest possible way. Use analogies and short examples. Then give me 3 questions to check my understanding.
BUILD A LEARNING LADDER
Break [topic] into 5 levels of difficulty. Show me how to go from Level 1 (beginner) to Level 5 (advanced) with a clear milestone at each step.
FIND THE BEST LEARNING RESOURCES
List the top 5 resources (books, videos, courses, or people) for learning [topic] fast, and explain why each is worth my time.
USE THE FEYNMAN TECHNIQUE
Explain [topic] to me in the simplest terms. Then have me re-explain it back. Point out gaps, re-teach what I miss, and repeat until I can explain it clearly on my own.
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Prompt:
A Fractal Bio-Luminescence depiction of [SUBJECT], with intricate, glowing fractal patterns reminiscent of deep-sea organisms. Utilize a color scheme of bioluminescent [COLOR1] and [COLOR2], creating an ethereal underwater scene
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First, it told people to eat rocks. Now, itβs inventing CIA family ties. Googleβs AI Overviews just falsely claimed Mike Benz is the grandson of Cold War spymaster James Jesus Angleton. The issue? Googleβs AI pulls from the web without understanding context, blending facts, satire, and nonsense into confidently wrong answers.
And itβs not just obscure queriesβbad info is showing up everywhere. Google says it's making fixes, but so far, AI Overviews is proving one thing: you canβt trust everything you read, especially when itβs AI-generated.
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π Learn about and experience how to use Operator, ChatGPTs new AI agent for automating tasks using a browser-powered assistant with AI-enhanced execution.
01 - Accelerate everyday tasks with OpenAIs Operator
02 - What is an agent
03 - Creating and monitoring tasks with OpenAIs Operator
04 - Operator options and settings
05 - Is Operator safe
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01 - Accelerate everyday tasks with OpenAIs Operator
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03 - Creating and monitoring tasks with OpenAIs Operator
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Building a Personalized Chatbot with OpenAI and LangChain
π Author: Dhhyey Desai
π° Level: Intermediate
β° Duration: 22m
π Topics: LangChain, OpenAI Products, Chatbot Development
π€ Join OpenAI Tutorials for more courses
π Learn how to build a fully personalized chatbot with LangChain and OpenAI.
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Are you a Python programmer looking to expand your skill set with AI, machine learning, and APIs? In this course, instructor Dhhyey Desai shows you how to use LangChain and OpenAI to build a fully personalized chatbot thats trained on your data through a PDF file.Learn the fundamentals of setting up and preparing data, including the development environment, PDF, and website data. Along the way, Dhhyey provides an overview of what it takes to successfully build a chatbot, from integrating OpenAI for responses to building the LangChain architecture and using Flask for chatbot deployment.
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The company I work for demonstrated a proof of concept today using a ChatGPT model for image recognition to pre-fill and verify data, previously a manual task. By automating this process, we saved about six minutes per instance. That doesnβt sound like much, right?
Well, this process runs 282,000 times a year, resulting in a staggering 28,000 hours saved.
Letβs estimate an hourly rate of $25. A simple AI use case like this just saved the company $700,000 per year. And this was just build and released in a matter of months.
This is one of the many examples I've seen so far. Right now, the company is experimenting with 10 other proof of concepts for various use cases. Many of which I believe will scale massively over time. The same goes for many other businesses right now. They are still very much in the experimental phase. Only just beginning to grasp the massive potential of AI.
This is why Iβve positioned my portfolio heavily in companies that benefit from the various stages of AI adoption. Investing is about looking to the future, and I truly believe thereβs so much more to come. As both an investing and tech geek, I find this incredibly exciting.
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