In this video I'll be explaining the REAL reason your GPT-3 fine tunes suck and how to fix them! Fine tuning GPT-3 is a hugely important weapon in the AI entrepreneur's arsenal so understanding properly is crucial. If you've been struggling with your fine-tuned models not giving the output you want then this is the video for you!

I'll be covering two reasons why you aren't getting the outcome you want and two possible solutions.

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Timestamps:
0:00 - Intro
0:44 - Reason #1
2:16 - Reason #2
5:39 - Adding More Data?
8:40 - Work with me
9:58 - Recap

About Me 👋🏼
Hi! My name is Liam Ottley and I’m an AI developer and entrepreneur, founder of my own AI development company: Morningside AI (https://morningside.ai). You’ve found my YouTube channel where I help other entrepreneur’s wrap their heads around AI with tutorials on how to get started with building AI apps!

With developments in AI moving so fast, I’m constantly working on my own projects and those of clients and sharing my learnings with my viewers 2-3x per week.

I don’t have anything to sell you, my only hope is that one day some of you will learn enough from my videos to see an exciting opportunity in the AI space and want to work with my development company to make it a reality.

Pretraining & fine-tuning & in-context learning of LLM (like GPT-x, ChatGPT) EXPLAINED | The ultimate Guide including price brackets as an indication to absolutely identify your compute and financial resources when and how to train LLMs.

Simple explanation of the differences between Pretraining, Fine-tuning and ICL (in-context learning) a LLM, like GPT-3.5-turbo or ChatGPT.
The simplest explanation possible on this planet!
The ultimate guide for beginners to LLM!

#promptengineering
#ai
#generativeai
#naturallanguageprocessing
#chatgptexplained

This prompt evolved during my conversation with chatGPT. If you want to know why just listen and have fun :) Teach your teacher how to teach. :)

ChatGPT - prompt: "Pretend you are an English teacher. Your task is to prepare me to have good conversations by practicing with me. Correct my mistakes first and then go forward with the topic of conversation. Try not to repeat my sentences if they are correct."

ChatGPT - prompts for Language Learners:
What does this sentence mean? ...
Correct this sentence: ...
Explain the correction.
Rewrite this article in about 300 words:
Different ways this word can be used: ...
Explain the differences between these two words: ...
I don't understand this sentence. ... Can you explain it?
Create sentences with every other meaning of the word: ...
Create a short/long text for a language learner ( beginner / intermediate / advanced / fluent ) that includes these words: ... , ... , ... .

Btw, You can use the text-to-speech tool in the Edge browser to listen. No need to install it. Just click the "A" icon at the right top of the window or hit ( Ctrl + Shift + U).

My new channel for programming and so on:
https://www.youtube.com/@newone295/featured

Get ready for the future of AI with AutoGPT! In this mind-blowing video, we reveal the groundbreaking techniques to transform GPT-4 into a powerful, self-learning AI that's capable of revolutionizing the way we live, work, and play. 🤯
Custom Blog Writing Service: https://wordrocket.ai/blog-writing-service/ (Now 50% Off)
Win A Free AI Tool +: Exclusive Content: https://discord.gg/qMTZXGpt5B
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Explore the jaw-dropping capabilities of this next-generation AI, as we dive deep into the cutting-edge world of machine learning, natural language processing, and advanced algorithms. Witness the birth of a true AI titan that will change the game forever! 🚀

We also discuss
-What is autogpt
-how to use autogpt
-autogpt vs chatgpt
-How does auto gpt work
-how to set up auto gpt
-How to turn gpt 4 into a powerful self learning autonomous ai
-some exmaples of auto gpt

Join us on this thrilling journey, as we unravel the secrets behind the AutoGPT revolution, and discover how YOU can harness its incredible potential to elevate your AI projects to new heights. Be prepared to have your mind blown – this is one video you don't want to miss! 🔥

Hit the LIKE button and SUBSCRIBE to our channel for more groundbreaking AI content, and don't forget to share this video with all your tech-savvy friends! Let's ride the wave of the AutoGPT phenomenon together! 🌊

#AutoGPT #GPT4 #SelfLearningAI #ArtificialIntelligence #FutureOfAI"

ChatGPT API and GPT-4 just released. And it's BIG NEWS for independent SaaS creators.
Let me show you how ChatGPT API can be your biggest SaaS opportunity in 2023!

#chatgpt #gpt3 #gpt4 #feedhive #ai #makingmoneyonline
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⭐ Try FeedHive's new AI Chat Assistant

Try FeedHive for FREE in 7 days using the link below.
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This will give you 25% OFF on any plan in the first year.
Get started here → https://simonl.ink/feedhive25offer

------------------------------------------------------------------------------------------------
Resources:

Open AIs Platform:
https://simonl.ink/openai

ChatGPT API announcement:
https://simonl.ink/chatgpt

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Check out these videos next:

How to Use A.I. to Run Your Online Business
https://www.youtube.com/watch?v=xWrUNI7adpI

7 AI SaaS Ideas You Can Start In 2023
https://www.youtube.com/watch?v=Hdp30KBXK40

------------------------------------------------------------------------------------------------
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Medium article: https://medium.com/@dataallian....ce.io/what-is-deep-l
Notion page: https://www.notion.so/dataalli....ance-io-adcc3cbb49ca
Link to cover letter generator video: https://youtu.be/BmGgd7IXaCQ

GitHub (with code for the GPT-3 model): https://github.com/ollegreen/
Twitch: https://www.twitch.tv/ml_olle

Cheers.

Olle - 奥利


___________________

Gear:
iPad: iPad Pro 11” 2018
Camera: Canon M50
Editing software: LumaFusion

I'm going to show you GPT3 playground and how I built my very first GPT3 based application. GPT3 is amazing and this tutorial will take you into the magic and give you the basics of prompt design and examples of how the tech can be applied in python.

I've made the Google Colab and Github repos available here:

Google Colab notebook example:
https://colab.research.google.....com/drive/1TyuTvjs0h

Github Cbot command line example
https://github.com/graiz/cbot

Blog post with additional details:
https://gregraiz.com/building-....a-command-line-appli

How do you get an API key?
You have to apply for a key on OpenAI: https://beta.openai.com/
If you're waiting you can play around with GPT2. I have a video on how that works here: https://www.youtube.com/watch?v=R6KoIp1ETpM

Follow me on twitter http://www.twitter.com/graiz
I also have a blog and discord channel if you want to connect with me:
https://www.gregraiz.com

- GPT 3 demo of how to use the Open AI playground
- GPT 3 demo of using Google Colab with OpenAI
- GPT 3 demo of exporting an app to Python
- GPT 3 demo some of the problems with Open AI
- GPT3 demo of command line auto-complete from English to shell commands

The entire experience of building a GPT3 application is incredibly easy. That being said there are a lot of limits on what GPT3 currently does.

The core of the GPT3 experience is a single screen called the playground, this is where you can send commands, adjust the sliders and settings and see responses. The rest of the interface is example prompts that fill-in data from the playground and documentation.

The core of GPT3 is that it's a very sophisticated auto-complete. So when designing a prompt or playing with the playground, you want to give it as much context to complete your text in a meaningful way.

After playing around in the playground, I wanted to build an actual app that I could use on a regular basis. I've been trying to use the command line more to keep my hands on the keyboard and keep from dragging/dropping files around but I would often forget the more obscure commands.

I decided to build a bot that would help me find those commands based on simple english querries like.
- How do you install a program
- How do you change permissions on a file
- How do you copy files or pretty much anything else.

I started in the playground and got a very basic version working. OpenAi gives you tools to export the code and I did that into Google Collab. This is an interactive way to run/test and edit python. This was my first python program I've written so the interactive nature was helpful in playing around with basic concepts and getting the bare bones of the program running.

From there I was able to copy the code to my computer and get it working even better. I made this utility that I call cbot, I've made it open source and available to try. Unfortunately you do need an OpenAI API key to use it. This is unfortunate because it makes it difficult for developers to create and share open source tools that leverage OpenAI.

So far cbot has been really useful for looking up obscure commands and allows me to stay in the flow rather than jumping around the web trying to look up commands. My big takeaways from building my first GPT3 application:

1 - Getting started is incredibly easy and a lot of fun. I played around with how AI could be applied to ordering systems, explaining medicines in plain english to patients, grammar correction, and authoring Seinfeld fan-fiction scripts. I'm excited because there's a lot of interesting applications and the technology is very accessible.
2 - It's not magic and it's not perfect. It would often go off on a tangent and occasionally get stuck in a loop. There are controls to adjust how it will perform, but tweeking these controls seems to be an art, not a science.
3 - Developers should think of OpenAI as infrastructure. Similar to AWS, or Azure, it's providing pieces of functionality for your product/application. It's also a dependency and a point of failure. If you're starting a business using GPT3 you need to consider your long-term advantage and moat for your company because application of this technology will become common place.
4 - After playing with GPT3, I'm less concerned about the tech becoming self-aware and taking over the world. It's really impressive but it still has a long way to go. As I said before, the PT in GPT stands for pre-training and in the current version you're not yet able to upload large sets of data to fine tune the model. This is something that OpenAI is working on but it's got a way to go.
5 - Lastly - We are at the very start of something really big. If someone with no prior python experience can whip together an app that harnesses the collective knowledge of the web, just imagine where the technology can go.

This is how you can use OpenAI Chat GPT to make $100,000 a year. Good luck!
Best AI Newsletter + Free Bonus: https://www.syntheticmind.io/subscribe
I tried making $1,000 with AI (PROOF): https://www.youtube.com/watch?v=X_ecmyT38mg

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How to Summarize a Book or a PDF file with GPT-3 and Python

Become a member:
https://www.youtube.com/c/AllAboutAI/join

Join the newsletter here:
https://www.allabtai.com/newsletter/

In today's video, we're going to be showing you how to use GPT-3 to easily summarize a book or paper in PDF form.

Let's face it, sometimes we don't have the time to read a 200 page, 73,000 word document from start to finish. But with GPT-3, you can quickly and easily extract the most important information and summarize it into just 230 words.

This can be a great way to create a step by step guide, research notes, blog posts, or even mid-journey prompts.

In this video, we'll be using the book "Deep Work" by Cal Newport as an example. This book is 190 pages and 73,000 words, so it can be a daunting task to get through it all.

But with the help of GPT-3 and a Python script with the OpenAI API, we'll show you how to automate the process and make summarizing a breeze.
So if you're ready to learn how to use GPT-3 to summarize a book, let's get started!

00:00 Intro Summarize a book or pdf with GPT-3
00:17 Summarizing with GPT-3 and Python Script
04:21 Deep Work Summary with Midjourney V4

https://www.allabtai.com

GPT-3 has taken the world by storm, and for good reason: It lets you generate text with just a few prompts (i.e. 'few-shot learning') or even with no prompts and just the instruction (i.e. 'zero-shot learning'). But there are scenarios where the model does not deliver satisfying results out of the box. In these cases we need to train the GPT-3 model with our own dataset to improve the performance. In this talk he explored how this can be done and we saw a real-life application of this.

This speech by Heiko Hotz was held on November 18 at Data Science Conference Europe 2022 in person in Belgrade.

Follow us on social media :
LinkedIn: Data Science Conference
https://www.linkedin.com/company/11184830
Instagram: @datasciconf
https://www.instagram.com/datasciconf/
Facebook page: @DataSciConference
https://www.facebook.com/DataSciConference/
Website: http://datasciconference.com/

Change the World Through Data

#datascience #ai #ml #artificialintelligence #bigdata #dataanalytics #gpt3

Auto-GPT is an experimental open-source application showcasing the capabilities of the GPT-4 language model. This program, driven by GPT-4, autonomously develops and manages businesses to increase net worth. As one of the first examples of GPT-4 running fully autonomously, Auto-GPT pushes the boundaries of what is possible with AI.

▼ Link(s) From Today’s Video:

✩ Auto-GPT: https://github.com/Torantulino/Auto-GPT

✩ Open AI API: https://openai.com/blog/openai-api

► MattVidPro Website: https://MattVidPro.com

► MattVidPro Discord: https://discord.gg/bQgcbjs2Sg

► Follow Me on Twitter: https://twitter.com/MattVidPro

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▼ Extra Links of Interest:

✩ AI LINKS MASTER LIST: https://www.futurepedia.io/

✩ Lemon Gallery: https://MattVidPro.com/Gallery

✩ General AI Playlist: https://www.youtube.com/playli....st?list=PLrfI66qWYbW

✩ AI I use to edit videos: https://www.descript.com/?lmref=nA4fDg

✩ Second Channel: https://www.youtube.com/channe....l/UC06GdmaEdCdCFwR3N

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Thanks for watching Matt Video Productions! I make all sorts of videos here on Youtube! Technology, Tutorials, and Reviews! Enjoy Your stay here, and subscribe!

All Suggestions, Thoughts And Comments Are Greatly Appreciated… Because I Actually Read Them.

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00:00 - Introduction to Auto-GPT
02:09 - Setting up the Super Assistant AI
09:42 - Setting up the Private Investigator AI
14:38 - Creating an AI for Gardening YouTube Channel
17:30 - Outro

How to Train Your GPT-4/ChatGPT for Less Than $100 - Alpaca

Blog post
https://crfm.stanford.edu/2023/03/13/alpaca.html

Demo
https://alpaca-ai-custom1.ngrok.io/

Code and data
https://github.com/tatsu-lab/s....tanford_alpaca#data-

Connect with me
Twitter
https://twitter.com/DeepExplainer

Linkedin
https://www.linkedin.com/in/ed....win-xue-yong-fu-9557

Email
edwindeeplearning@gmail.com

0:00 - Centralization of AI
1:42 - Prompt engineering
2:20 - Alpaca
5:37 - Training cost
6:45 - Terms of use
8:06 - ChatGPT v.s Alpaca
9:45: Code release
10:30 - Future directions

Join the Bugout Slack dev community to connect with fellow data scientists, ML practitioners, and engineers: https://join.slack.com/t/bugou....t-dev/shared_invite/

The GPT-3 language models have a range of impressive capabilities; however, they also have a number of performance limitations.

In this talk OpenAI researcher, Todor Markov, discusses a new fine-tuning API by OpenAI and show examples of how it can be used to create specialized models.

Our speaker – Todor Markov is a researcher on the Applied AI team at OpenAI. His current work focuses on improving the safety & monitoring system for the OpenAI API.

00:09:38 — Introduction Todor Markov to the Bugout community
00:11:12 — Colleges to OpenAI
00:11:36 — GTP-3 & the OpenAI API
00:24:43 — Can GTP-3 make mathematically correct statements?
00:31:11 — OpenAI fine-tuning API
00:41:55 — Questions: sizes of GTP-3 models, size of data sets, technical background of fine tuning, models for improving semantic search, GTP-3 to transfer to texts, chip models, A/B testing model quality, is it expensive. customers, limit of models, ​​tips for people who want to work in AI, plans for meetups

Vídeo rápido sobre como treinar modelos GPT-3 usando api da OpenAI com fine-tuning.

LINKS:
- https://beta.openai.com/docs/guides/fine-tuning
- https://github.com/infoslack/y....outube/tree/main/fin

Patreon: https://www.patreon.com/daveshap (now includes Discord!)
GATO Framework: https://www.gatoframework.org/

GitHub: https://github.com/daveshap
LinkedIn: https://www.linkedin.com/in/dave-shap-automator/
Twitter: https://twitter.com/d_shap_autom8r

Relevant Subreddits:
Artificial Sentience: https://www.reddit.com/r/ArtificialSentience/
Heuristic Imperatives: https://www.reddit.com/r/HeuristicImperatives/
Autonomous AI: https://www.reddit.com/r/Autonomous_AI/

DISCLAIMER: This video is not medical, financial, or legal advice. This is just my personal story and research findings. Always consult a licensed professional.

I work to better myself and the rest of humanity.

I hacked my brain with a compact electroencephalogram (EEG) and connected it to GPT-4 with the OpenAI API. In this crazy tutorial, you'll learn how to use JavaScript to read your brainwaves.

#tech #javascript #science

💬 Chat with Me on Discord

https://discord.gg/fireship

🔗 Resources

Neurosity Crown https://neurosity.co
Brainwaves https://www.scientificamerican.....com/article/what-is
Learn JavaScript Basics https://youtu.be/lkIFF4maKMU
GPT-4 overview https://youtu.be/EunbKbPV2C0

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🎨 My Editor Settings

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🔖 Topics Covered

- How do you read brainwaves?
- Reading your brain with code
- Mindreading with an EEG
- How to use the OpenAI api
- How do brainwaves work?