Learning
10 Astonishing Chat GPT Interactions [Next Level]
Here's video 1 of series 2, the Chat GPT examples series.
Note: you'll find all the prompts in the first [pinned] comment.
ⓘ TIME STAMPS:
0:00 introduction
0:16 Prompt Example 1 - The Perfect Prompt
1:59 Prompt Example 2 - The 5 Whys
3:38 Prompt Example 3 - A Room Full of Experts
5:24 Prompt Example 4 - Multiple languages
6:14 Prompt Example 5 - Run as a Model
7:37 Prompt Example 6 - A Room Full of Wisdom
9:40 Prompt Example 7 - Creative Thinking
10:49 Prompt Example 8 - Sell like a Pro
12:32 Prompt Example 9 - Overcome Any Objection and Sell Anything
16:50 Prompt Example 10 - Washing Machine Woes
///// THE COMPLETE SERIES OF CHAT GPT PROMPTS /////
▶ COMPLETE SERIES 1: https://youtu.be/f7lAibeujQU
▶ SERIES 1, VIDEO 1: https://youtu.be/mFa7Kxwqruc (iffy audio, but fixed on the Complete Series 1 video)
▶ SERIES 1, VIDEO 2: https://youtu.be/5IhiaYlijVE
▶ SERIES 1, VIDEO 3: https://youtu.be/yHpjW6dhNbM
▶ SERIES 1, VIDEO 4: https://youtu.be/dfQJm09I4uM
+++++++++++++++++++++++++++++++++++++++++++++
▶ SERIES 2, VIDEO 1: https://www.youtube.com/watch?v=GV3Z0ecU0wQ
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Enjoy!
PS Please Like this video and leave me a comment.
Say Hello or ask me anything if I can help you in any way!
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///// THE COMPLETE SERIES OF CHAT GPT PROMPTS /////
▶ COMPLETE SERIES 1: https://youtu.be/f7lAibeujQU
▶ SERIES 1, VIDEO 1: https://youtu.be/mFa7Kxwqruc (iffy audio, but fixed on the Complete Series 1 video)
▶ SERIES 1, VIDEO 2: https://youtu.be/5IhiaYlijVE
▶ SERIES 1, VIDEO 3: https://youtu.be/yHpjW6dhNbM
▶ SERIES 1, VIDEO 4: https://youtu.be/dfQJm09I4uM
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This is part 5 of my series on APIs. In this video we connect to the OpenAI API and play around with GPT-3. We also look at how to send data in the body of a POST request inside of the API connector. Enjoy!
If you missed the earlier videos in this series, the links are below:
Part 1: https://youtu.be/ClM6UM6U7EI
Part 2: https://youtu.be/KYinLtIw0Bs
Part 3: https://youtu.be/QEQ8ncop8KM
Part 4: https://youtu.be/14EriUYY7nQ
How to use Chat GPT Secrets when writing with it. These are very useful commands and tips that you can use to your advantage when writing with Chat GPT. Chat GPT is an artificial intelligence tool that can generate text, write essays, answer questions, classify and compare text, explain or write codes. It is fluent in almost every language. This chat bot is most advanced AI to date and it's made by Open AI.
User friendly version: https://chat.openai.com/chat
Advanced playground version: https://beta.openai.com/playground
How to use it: https://youtu.be/rtqD3ne7GzA
How to write essay: https://youtu.be/JW2VcCmRed8
More tips: https://youtu.be/hXAgRYKTpqE
More tips: https://youtu.be/5vVuk-D0h-E
Video about Chat GPT:https://youtu.be/mH2zN_S1q2c
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CHAPTERS
00:00 Intro
00:17 Advanced prompts
01:03 Research
01:35 Improve vocabulary
02:14 Rewrite - Rephrase
#chatgpt #chatbot #openai
In this video we show how easy it is to extract structured data from an unstructured text, thanks to entity extraction (NER) on NLP Cloud.
More specifically we compare spaCy and GPT-NeoX 20B for entity extraction.
The great thing with GPT-NeoX 20B is that you can extract any new kind of entity without having to train/annotate a new model for that!
See more details about how to perform advanced entity extraction with GPT-NeoX thanks to few-shot learning here: https://nlpcloud.com/effective....ly-using-gpt-j-gpt-n
Here is the NLP Cloud documentation about entity extraction: https://docs.nlpcloud.com/#entities
And here is the NLP Cloud playground to easily play with advanced NER: https://nlpcloud.com/home/playground/ne
OpenAI announced GPT-4 yesterday and it's a beast. It can now handle 25K words of context, allowing it to provide more relevant code solutions for programmers.
#tech #chatgpt #thecodereport
💬 Chat with Me on Discord
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🔗 Resources
GPT-4 Overview https://openai.com/product/gpt-4
GPT-4 Paper https://paperswithcode.com/pap....er/gpt-4-technical-r
ChatGPT API Tutorial https://youtu.be/e2uvhJ7r1UQ
5 AI Business Ideas https://youtu.be/Aa83vRghue4
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🎨 My Editor Settings
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🔖 Topics Covered
- What does GPT-4 mean for the tech world?
- GPT3.5 vs GPT4
- Can AI replace lawyers?
- Will AI replace programmers?
- What's new in GPT4?
- How do I use ChatGPT version 4
- Using images with GPT4
What is ChatGPT-4 System Prompt Engineering? - Ultimate Guide
Get a FREE 40+ ChatGPT Prompts PDF here:
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Discover how to optimize your AI experience by understanding System Roles in GPT-4 / ChatGPT! In this video, we'll guide you through the key components that shape your AI's behavior, from giving it a name and persona, to assigning roles, providing context, and defining tasks. Learn how these elements come together to improve user satisfaction, increase control over responses, and unlock new applications.
Watch now and start harnessing the full power of GPT-4 / ChatGPT for your business and creative needs!
00:00 GPT-4 / ChatGPT AI System Prompt Engineering
00:21 What is a ChatGPT System Role?
01:36 Why use System Roles?
03:17 ChatGPT System Role Name / Persona
08:02 ChatGPT System Roleplay
12:19 ChatGPT System Context
16:50 ChatGPT System Task / Objectives
20:50 ChatGPT System Role Examples
25:13 ChatGPT System Role Conclusion
https://www.allabtai.com
OpenAI has finally released the most anticipated ChatGPT model today, called "gpt-3.5-turbo". Unlike the GPT 3.0 models that work like a search engine, ChatGPT model tracks the conversation to create more useful outputs. In this tutorial, I will go through every single detail on how to get started with the newest OpenAI ChatGPT API in Python.
📑 Python Script Used In The Video: https://wp.me/payCAw-1lw
💻 Build Your Own ChatGPT Desktop App: https://youtu.be/snkys9zXyD0
✉ Signup for an OpenAI account: https://openai.com/
📑 OpenAI GPT Model Pricing: https://openai.com/pricing
📑 openai.ChatCompletion reference: https://platform.openai.com/docs/guides/chat
📑 OpenAI ChatGPT Model (gpt3.5 turbo) Info : https://platform.openai.com/docs/models/gpt-3-5
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00:00 - Intro to OpenAI gpt 3.5 turbo model
00:34 - OpenAI GPT-3.5 Pricing difference vs GPT-3.0
01:51 - OpenAI GPT 3.5 models summary
03:03 - Sign up for an OpenAI account
03:29 - Create an OpenAI API Key
03:47 - Create Python script
04:15 - Install OpenAI Python package
04:27 - open.ChatCompletion library usage
11:00 - Track ChatGPT conversation
15:03 - Make the Python script runs like ChatGPT
#chatgpt #chatgptapi #openai #ai #python #gpt
Use this prompt to have Chat GPT magically create a months worth of social media posts for your business.
✅ Join my Free Chat GPT Community: https://jasonwest.com/chatgptgroup
🔥 Ready to Master ChatGPT? Get the ultimate ChatGPT Course at: https://ChatGPTSkool.com
Tools
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👉 Try using Canva for social media posting: https://jasonwest.com/canva
👉 Ultimate directory of chat GPT detectors: https://chatgptdetectors.com/
👉 Try chatGPT for free here: https://beta.openai.com/signup
👉 Try Fast Funnels, perfect for split testing free for 14 days: https://FastFunnels.com/register
SOLUTION TO BEAT AI DETECTORS
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👉 Guaranteed method: https://jasonwest.com/undetectable
DOWNLOAD
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#chatgpt #openai #jasonwest
In this video I am going to show you how to tailor (train) the OpenAI Davinci model responses for your chatbot using JavaScript.
00:00 Intro
00:07 Preparing the Data
01:11 Installing OpenAI
02:35 Getting the API Key
02:51 Uploading the data to OpenAI
05:00 Creating a Fine Tune Job
06:16 Checking the progress of the Fine Tune Job
09:20 Get list of Fine Tune Models
10:30 Testing the model
12:00 Cancel a Fine Tune Job
12:41 Delete a Fine Tune Model
13:03 Outro
What is GPT4 and will it change everything? How it is different from GPT3 and is AI future... (and I think it's smarter than me). In this video I'll cover exactly what the new GPT 4 model is. Created by OpenAI it is something that Microsoft and the team at Open AI have been working on for a while!
⭐ New - Teach Me OpenAI Digital Book ⭐
https://enhanceui.gumroad.com/l/teach-me-openai
I've put together a easy to understand book with ~60 pages about OpenAI and GPT with how to get started to integrate it into projects, code examples, and much more!
#gpt4 #openai #chatgpt
Try the OpenAI Template - Starter Kit I've made
https://enhanceui.gumroad.com/....l/chatgpt-starter-te
This is new and ready for those looking to kickstart their own app or website using the OpenAI GPT models. I've built it on MERN it should save you over 100 hours if you want to build or test your own ideas! This also supports the channel if you have found these videos of benefit!
New - ChatGPT Starter Kit
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Recently, I have trained GPT-2 on the Lakh MIDI dataset. It is a collection of roundabout 175K MIDI files. Training takes quite a long time! But using NVIDIA DGX-2 really made a difference!
The unprocessed Lakh MIDI dataset:
https://colinraffel.com/projects/lmd/
Checkout NVIDIA DGX-2:
https://www.nvidia.com/en-us/data-center/dgx-2/
Checkout the NVIDIA DGX Systems family:
https://www.nvidia.com/en-us/d....ata-center/dgx-syste
Hexagon Machine - New Order MMXXI:
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#ai #chatgpt #lensa
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In this video, we look at the Auto-GPT an autonomous LLM system which does really well at task-driven generation and using tools and modules.
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In this episode, we take a deep look at the two weeks that changed the world. From GPT-4 to Google Bard, Midjourney v5 and even talk of AGI from Microsoft, it’s all right here.
Podcast: https://youtu.be/dp_A32XkXYs
Intro Track: https://youtu.be/IECITKmNnzM
Track during Midjourney section: https://youtu.be/N8HYLv4WZWY
Outro Track: https://youtu.be/8nTMej5WIOw
Runway-1 video credit at 10:45 : https://twitter.com/nickfloats
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Ms. Coffee Bean explains how a huge collaboration of researchers managed to extract training data from large language models like GPT-2. Why is this even possible and what does this mean for even larger models like GPT-3?
Discussed paper:
" Extracting Training Data from Large Language Models" explained by Carlini et al. 2020.
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🔥 Optionally, pay us a coffee to boost our Coffee Bean production! ☕
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📺 GPT-3 – what you need to know: https://youtu.be/5fqxPOaaqi0
Outline:
* 00:00 Large Language Models
* 01:55 GPT-2
* 02:33 Why is it possible?
* 03:38 k-eidetic memorization
* 04:21 How does the attack work?
* 05:49 How bad is it?
* 08:12 What to do?
📄 Paper explained: Carlini, N., Tramer, F., Wallace, E., Jagielski, M., Herbert-Voss, A., Lee, K., ... & Oprea, A. (2020). Extracting Training Data from Large Language Models. arXiv preprint arXiv:2012.07805. https://arxiv.org/pdf/2012.07805.pdf
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#AICoffeeBreak #MsCoffeeBean #GPT #MachineLearning #AI #research
What are Fine-tuning and Embeddings in GPT-3 and how are they useful?
Explained and demonstrated here in 5 minutes in plain, simple English.