We'll answer the questions:
What's the difference?
Do I need to choose one over the other?
How can I use both to keep costs down and maintain control?

This course will teach you how to build AI-powered apps with the ChatGPT, Dall-E and GPT-4 APIs. Go here to try the interactive browser-version: https://scrimba.com/learn/buildaiapps

✏️ This course was created by Tom Chant, a teacher at Scrimba. If you have any feedback to Tom, please reach out to him on Twitter here:
https://twitter.com/tpchant

Also, follow Scrimba on YouTube here: https://www.youtube.com/c/Scrimba

We recommend that you learn basic HTML, CSS, and JavaScript before taking this course. Here are two free courses that will get you up to speed:
🔗 HTML & CSS: https://scrimba.com/learn/htmlandcss
🔗 JavaScript: https://scrimba.com/learn/learnjavascript

⭐️ Code ⭐️
🔗 Download via Scrimba: https://scrimba.com/learn/buildaiapps

💫 Links mentioned in course:
🔗 GPT-4 waiting list: https://scrimba.com/links/gpt4-waitlist-openai
🔗 OpenAI Home: https://scrimba.com/links/openai
🔗 OpenAI Docs: https://scrimba.com/links/openai-docs-intro
🔗 OpenAI Completions endpoint docs: https://scrimba.com/links/openai-completions-docs
🔗 GPTTools.com model comparison: https://scrimba.com/links/open-ai-comparison-tool
🔗 OpenAI Playground: https://scrimba.com/links/open-ai-playground
🔗 Dall-E: https://scrimba.com/links/dall-e-openai
🔗 OpenAI endpoint compatibility table: https://scrimba.com/links/chat....gpt-endpoint-compati
🔗 GPT-4 Chatbot conversation object format: https://scrimba.com/links/chatgpt-object-format
🔗 Data used to fine-tune We-Wingit Chatbot: https://scrimba.com/links/we-wingit-data-csv
🔗 Firebase home: https://scrimba.com/links/firebase-home
🔗 Firebase .val() method: https://scrimba.com/links/firebase-val-method
🔗 Object.values MDN: https://scrimba.com/links/object-dot-values
🔗 Netlify: https://scrimba.com/links/netlify-home

⭐️ Contents ⭐️
0:00:00 Introduction
0:01:19 Course Intro
0:04:56 MoviePitch intro
0:07:53 The Boilerplate
0:11:26 Getting an OpenAI API Key
0:13:32 Getting info for fetch request
0:15:14 Building an OpenAI fetch request
0:20:23 The first AI fetch request
0:26:41 Models
0:30:18 Tools
0:34:03 Refactor to use dependency l - env variable
0:38:11 Refactor to use dependency ll - The dependency
0:41:07 Refactor to use dependency lll - update fetchReply
0:44:40 Take out of Scrimba
0:46:45 Personalising the message
0:53:04 Tokens
0:57:09 fetchSynopsis
1:03:44 Aside - few shot approach
1:10:45 Aside - few shot approach ll
1:13:42 Refactor fetchSynopsis
1:21:00 Architecture
1:23:23 Title and Temperature
1:31:52 Reaching for the stars
1:37:52 Aside - createImage
1:46:56 fetchImagePrompt
1:54:21 Displaying the image and finishing off the UX
2:03:16 OutroKnowItAll: GPT-4 Chatbox2:06:47 KnowItAll Intro
2:09:40 Starter Code
2:13:10 Aside: How ChatGPT models work for chatbots
2:18:24 Conversation and instructions
2:20:21 Add user input to conversation array
2:23:06 The createChatCompletion endpoint
2:24:38 The model and object
2:28:46 Render the output, update the array
2:33:37 Aside: Theory: Frequency and presence penalties
2:37:07 presence_penalty practice
2:38:36 frequency_penalty practice
2:44:54 The chatbot’s personality
2:47:06 Firebase Intro
2:48:27 Firebase Account and database set up
2:50:43 Firebase dependency and database set up
2:55:53 Push method and instructions object
2:58:33 Update fetch Reply
3:02:24 Update fetchReply 2
3:04:49 Update the database
3:07:19 Render the conversation from the DB
3:12:02 The “start over” button
3:15:20 OutroWe-Wingit: Fine-tuned chatbot3:17:28 Intro to fine-tuning
3:20:04 Convert the Chatbot to We-Wingit
3:22:15 An Overview of the AI
3:23:52 Data for fine-tuning
3:26:34 The data we’re using
3:30:05 CLI 1 - Setting up the environment
3:33:03 CLI 2 - Data Preparation Tool
3:37:03 CLI 3 - Tuning the model
3:38:55 Updating the JS 1
3:41:33 Updating the JS 2
3:44:15 Updating the JS 3
3:47:01 The Separator
3:52:32 Aside - Stop Sequence
3:55:50 Adding the stop sequence
4:00:36 n_epochs
4:07:24 Intro to deployment
4:09:46 Download and GitHub
4:12:07 Netlify sign-up
4:13:56 Add Netlify env var
4:15:54 Netlify CLI
4:17:30 Netlify serverless function 1
4:19:52 Update fetchReply
4:24:28 Serverless function 2
4:27:30 Serverless function 3
4:29:21 Serverless function 4
4:32:32 Outro

🎉 Thanks to our Champion and Sponsor supporters:
👾 davthecoder
👾 jedi-or-sith
👾 南宮千影
👾 Agustín Kussrow
👾 Nattira Maneerat
👾 Heather Wcislo
👾 Serhiy Kalinets
👾 Justin Hual
👾 Otis Morgan

--

Learn to code for free and get a developer job: https://www.freecodecamp.org

Read hundreds of articles on programming: https://freecodecamp.org/news

My E-Book with 400+ Chat GPT Prompt Examples: https://bit.ly/ChatGPT_400_UseCases

Become an affiliate for my e-book and make 50 % off every sale: https://theaiadvantage.kartra.....com/affiliates/40233

I'm going to share some of the 400 amazing Chat GPT prompts that I collected. I'm sure you'll find them extremely useful to help you with productivity, learning new skills, getting creative with copywriting, and even finding funny nicknames for your pet. I'll take you through some of my favorite prompts from the five categories, and you'll be surprised at how easy it is to generate ideas and get advice from seasoned professionals. So let's dive right in and learn how to use Chat GPT!

For more free content on Chat GPT Prompts check out my channel and my weekly newsletter.

Links:
Chat GPT: https://chat.openai.com/
---------------------------------------------------------------------------------

Prompts:
🤔 Can you find some practical ways to practice/develop [skill] without joining a course or a community?
🤨 In [society/culture] is it generally considered to be [characteristic] or [characteristic]?
🥗 Can you create a [number]-day meal/diet plan for [age group] who needs to consume [number] calories per day but make it [restrction]-friendly?
🐶 Can you come up with a funny nickname for a [subject] that incorporates a play on words?

Chapters:
0:00 My collection of 400+ prompts
0:53 Learn fast
2:26 Social category
3:32 Improve your health with AI
4:55 Funny names for your pet

#chatgpt #chatgptprompts #prompts

---------------------------------------------------------------------------------

🧠 ChatGPT Prompt Engineering Course: https://aiadvantagecourse.com
🤯 E-Book with 750+ ChatGPT Use Cases: https://chatgpt.myaiadvantage.com
💬 Discord: https://discord.com/aiadvantage
🐦 Twitter: https://twitter.com/TheAIAdvantage
📸 Instagram: https://www.instagram.com/ai.advantage/

---------------------------------------------------------------------------------

My Video Equipment:
📷 Camera: https://amzn.to/3wXedn9
🔍 Lens: https://amzn.to/3wZdIck
🎤 Mic: https://amzn.to/3wXedn9
🔊 Audio Mixer: https://amzn.to/3GmPhdj
💡 Light: https://amzn.to/3GmPhdj

How do language models like chatGPT and Palm work? A short cartoon that explains transformers and the tech behind LLMs.
Part 2: https://youtu.be/YDiSFS-yHwk

0:05 - autocomplete
0:44 - search query completion
1:03 - language modeling with probabilities
1:59 - time series and graphs
2:34 - text generation
3:43 - conditional probabilities
3:52 - trigrams
4:49 - universal function approximation
5:19 - neural networks
6:33 - gradient descent
7:03 - back propagation
7:24 - network capacity

ChatGPT is more than just a language model, it can be used to create websites, businesses and much more. And I would know best, as I created, built, and sold a business using OpenAI platform just this year. So in this video, I’m going to explain how to use ChatGPT and its models so you can do the same. The video is structured in three parts.

⭐ 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!

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
https://enhanceui.gumroad.com/....l/chatgpt-template-s

Video 1 - What is ChatGPT (Introduction)
https://youtu.be/40Kp_fa8vIw

Video 2 - Crash Course ChatGPT
https://youtu.be/JTxsNm9IdYU

Video 3 - I created a SaaS in 30 days
https://youtu.be/UBG_YiTg_Bs

OpenAI ChatGPT:
https://chat.openai.com/chat

#chatgpt #website #ai

Learn Design for Developers!
A book I've created to help you improve the look of your apps and websites.
📘 Enhance UI: https://www.enhanceui.com/

Feel free to follow me on:
🐦 Twitter: https://twitter.com/intent/fol....low?screen_name=adri
💸 Discord: https://www.editorx.com/editor-x/codex

Thank God! I don't have to remember formulas. Connect ChatGPT API using GPT 3.5 Turbo model by OpenAI inside Google Sheets. Ask direct questions to Chat GPT through ChatGPT API inside Google Sheets using GPT 3.5 Turbo Model which is the latest GPT model by OpenAI.

CODE: https://docs.google.com/docume....nt/d/15N6C0-2bpU8FvQ

VIDEOS you might LIKE:

Create AskGPT App: Use GPT 3.5 Turbo Model (ChatGPT API)
https://youtu.be/Pve6tJiqNc4

AI that converts GPT-3 to Video directly
https://youtu.be/q41s2CpK17s

Build AI Writer on ANY TOPIC and in ANY LANGUAGE (OpenAI + GoogleDocs)
https://www.youtube.com/watch?v=7YGIjivdP2c&t=26s

Google Sheets + OpenAI GPT3: Integrate and Use GPT3
https://youtu.be/sZglG2rJXL4

AI that Converts Any Image into a 3D Animation
https://youtu.be/bWDFYsrjqgs

AI Voices with Human EMOTIONS (New Text to Speech)
https://youtu.be/g9YX2nWF0BM

Multi-Language Text to Speech AI (FREE multi-language ai voice genration software)
https://youtu.be/zZ2hAS7uWZk

Wellsaid Labs Full Tutorial (Best Text-to-Speech)
https://youtu.be/YwIkxXEmOBA

The Best Romantic AI Voice (Text-to-Speech AI Software)
https://youtu.be/Ui5qFkGkQeE

Text-to-Speech Comparison: Which One Sounds the Most Human?
https://youtu.be/UYMiYkSTM3k

FREE Text to Speech (AI Voice Generator) Software by MICROSOFT
https://youtu.be/CgjSOFYFvdw

The Best Cinematic AI Voice (Text-to-Speech AI Software)
https://youtu.be/d2463ynnEsM

USE ChatGPT to create images... Here is HOW !!!
https://www.youtube.com/watch?v=sJRMiT3HbQI&list=PLqQJfwY2hDK00qleSrQFLwUqvUTAFlq5V&index=4

Text to Video ... Use ChatGPT ... COMPLETE Tutorial in 4 Minutes
https://www.youtube.com/watch?v=LAy2kNd0v9Y&list=PLqQJfwY2hDK00qleSrQFLwUqvUTAFlq5V&index=5

OpenAI + Google Docs: Build Your Own AI Writer in 5 Minutes
https://www.youtube.com/watch?v=lN93GstltJ8&list=PLqQJfwY2hDK00qleSrQFLwUqvUTAFlq5V&index=7&t=115sText-to-Speech AI Videos:
-----------------------------------------------------------------------------------------
AI Voices with Human EMOTIONS (New Text to Speech)
https://youtu.be/g9YX2nWF0BM

Multi-Language Text to Speech AI (FREE multi-language ai voice genration software)
https://youtu.be/zZ2hAS7uWZk

Wellsaid Labs Full Tutorial (Best Text-to-Speech)
https://youtu.be/YwIkxXEmOBA

The Best Romantic AI Voice (Text-to-Speech AI Software)
https://youtu.be/Ui5qFkGkQeE

Secrets Revealed: Make Money with ChatGPT and Free Text-to-Speech AI by Microsoft
https://youtu.be/FFS4S1CWTqc

Text-to-Speech Comparison: Which One Sounds the Most Human?
https://youtu.be/UYMiYkSTM3k

FREE Text to Speech (AI Voice Generator) Software by MICROSOFT
https://youtu.be/CgjSOFYFvdw

The Best Cinematic AI Voice (Text-to-Speech AI Software)
https://youtu.be/d2463ynnEsM

Create website using ChatGPT... Here is HOW !!! In just 4 minutes
https://www.youtube.com/watch?v=aoh_9mNr_8g&list=PLqQJfwY2hDK00qleSrQFLwUqvUTAFlq5V&index=2&t=26s

ChatGPT & Text to Speech FREE... Watch to know HOW??? In 3 MINUTES
https://www.youtube.com/watch?v=ulaYMsF-xYk&list=PLqQJfwY2hDK00qleSrQFLwUqvUTAFlq5V&index=3

USE ChatGPT to create images... Here is HOW !!!
https://www.youtube.com/watch?v=sJRMiT3HbQI&list=PLqQJfwY2hDK00qleSrQFLwUqvUTAFlq5V&index=4

Text to Video ... Use ChatGPT ... COMPLETE Tutorial in 4 Minutes
https://www.youtube.com/watch?v=LAy2kNd0v9Y&list=PLqQJfwY2hDK00qleSrQFLwUqvUTAFlq5V&index=5

Using ChatGPT for the first time? Here is HOW !!! In 3 minutes
https://www.youtube.com/watch?v=LlW3kiulSkQ&list=PLqQJfwY2hDK00qleSrQFLwUqvUTAFlq5V&index=6

Give ChatGPT INTERNET Access ..!!!
https://www.youtube.com/watch?v=lN93GstltJ8&list=PLqQJfwY2hDK00qleSrQFLwUqvUTAFlq5V&index=7&t=115s

OpenAI + Google Docs: Build Your Own AI Writer in 5 Minutes
https://www.youtube.com/watch?v=lN93GstltJ8&list=PLqQJfwY2hDK00qleSrQFLwUqvUTAFlq5V&index=7&t=115s

Fine-tuning GPT-3.
In this video we demonstrate how to use APIs and audio to create prompts and completions that can be used to fine-tune Transformers such as GPT-3. We show how to use a News API with Python to extract news articles and create a dataset for training and fine-tuning models.

We explain what prompt and completion datasets are, and the role they play in natural language processing in fine-tuning transformers. We then discuss using video and audio streams to build data pipelines for fine-tuning and transcribing speech to text using OpenAI's Whisper.

With over 500 hours of YouTube videos being uploaded every minute video is a rich source of detailed information with which to train AI.

The video first includes step-by-step demonstrations of using the News API to create a prompt and completion dataset and then shows how to build pipelines transcribing speech to text using Whisper.

Foundation models like GPT-3 can be 'Fine-Tuned'. This Fine_tuning allows them to learn the vocabulary and semantics of particular disciplines. If you want your AI solution to be familiar with options pricing algorithms, then you can show it lots of options pricing papers. If you'd like your AI to be able to converse and write about monetary policy then you can expose it to policy papers, books on economic theory, central bank meeting minutes and news conferences.

You train transformer AI models in a particular way. You don't simply feed in a file containing the text of the book or article that you are using to train the AI. You break the text up into a series of "Prompts" and "Completions". Prompts are the beginning of a passage of text and completions are what follow a prompt.

In this post we leverage the breadth and depth of content on YouTube. We propose a strategy to use selected videos to train our AI language models. These videos are chosen because they are rich in expertise in an area we want to train our language model in. The example used in this video is to train our AI in monetary policy by studying content generated by the Federal Reserve. We devise a strategy to use speech to text transcription of YouTube videos. We use OpenAI's 'Whisper' to perform this transcription. We then break this text up into 'prompts' and completions to train our model.

Following this approach we can easily train our NLP models to have expertise in any field we choose.



#NLP #Python #FineTuning #AI #MachineLearning #NewsAPI #Whisper #Lucidate #chatgpt #gpt3 #gpt-3 #openai #whisper #openai-whisper

Links:
Attention Mechanism in Transformers: https://youtu.be/sznZ78HquPc Transformer playlist: https://youtube.com/playlist?l....ist=PLaJCKi8Nk1hwaMU
Federal reserve Description: https://youtu.be/lJTmCv2kKKs
FOMC Feb 2023 Press Conference: https://www.youtube.com/watch?v=3Iv4aCN0OOo&t=2s
Python code for Transcriber class: https://github.com/mrspiggot/p....rompts_and_completio

=========================================================================
Link to introductory series on Neural networks:
Lucidate website: https://www.lucidate.co.uk/blog/categ...

YouTube: https://www.youtube.com/playlist?list...

Link to intro video on 'Backpropagation':
Lucidate website: https://www.lucidate.co.uk/post/intro...

YouTube: https://youtu.be/8UZgTNxuKzY

'Attention is all you need' paper - https://arxiv.org/pdf/1706.03762.pdf

=========================================================================
Transformers are a type of artificial intelligence (AI) used for natural language processing (NLP) tasks, such as translation and summarisation. They were introduced in 2017 by Google researchers, who sought to address the limitations of recurrent neural networks (RNNs), which had traditionally been used for NLP tasks. RNNs had difficulty parallelizing, and tended to suffer from the vanishing/exploding gradient problem, making it difficult to train them with long input sequences.

Transformers address these limitations by using self-attention, a mechanism which allows the model to selectively choose which parts of the input to pay attention to. This makes the model much easier to parallelize and eliminates the vanishing/exploding gradient problem.

Self-attention works by weighting the importance of different parts of the input, allowing the AI to focus on the most relevant information and better handle input sequences of varying lengths. This is accomplished through three matrices: Query (Q), Key (K) and Value (V). The Query matrix can be interpreted as the word for which attention is being calculated, while the Key matrix can be interpreted as the word to which attention is paid. The eigenvalues and eigenvectors of these matrices tend to be similar, and the product of these two matrices gives the attention score.

=========================================================================

#ai #deeplearning #chatgpt #gpt3 #neuralnetworks #attention #attentionisallyouneed

This video shows a user how to train a GPT-2 model in Python. It requires a library called gpt-2-simple. This video trains the model on the Tiny Shakespeare set.


https://colab.research.google.....com/drive/1TCkUMfehk

Become a GPT text generation expert with our comprehensive 3-part video series. Learn how to build, train, and test your own GPT model, and gain insights into GPT-2 architecture, tokenization, and training processes that will elevate your language model projects.

Discover the power of GPT transformers and learn how to build, train, and test your own text generator in this comprehensive 3-part video series. Gain practical experience and insights into GPT-2 architecture, tokenization, and training techniques.

❤️ Check out Anyscale and try it for free here: https://www.anyscale.com/papers

📝 The paper "#GPT-4 Technical Report" is available here:
https://cdn.openai.com/papers/gpt-4.pdf

More here:
https://openai.com/product/gpt-4

App development: https://twitter.com/zaid/statu....s/163736539552613171
The most beautiful sentence: https://reddit.com/r/ChatGPT/c....omments/121t9b4/the_
Doggy: https://twitter.com/peakcooper..../status/163971682268
Safe code: https://twitter.com/moyix/stat....us/16425874103692656
Finds security holes: https://twitter.com/feross/sta....tus/1641548124366987
App design: https://www.usegalileo.ai

📝 Paper with caustics:
https://users.cg.tuwien.ac.at/....zsolnai/gfx/adaptive

My latest paper on simulations that look almost like reality is available for free here:
https://rdcu.be/cWPfD

Or this is the orig. Nature Physics link with clickable citations:
https://www.nature.com/articles/s41567-022-01788-5

🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible:
Aleksandr Mashrabov, Alex Balfanz, Alex Haro, Andrew Melnychuk, Benji Rabhan, Bryan Learn, B Shang, Christian Ahlin, Eric Martel, Geronimo Moralez, Gordon Child, Jace O'Brien, Jack Lukic, John Le, Jonathan, Kenneth Davis, Klaus Busse, Kyle Davis, Lorin Atzberger, Lukas Biewald, Martin, Matthew Valle, Michael Albrecht, Michael Tedder, Nikhil Velpanur, Owen Campbell-Moore, Owen Skarpness, Rajarshi Nigam, Ramsey Elbasheer, Richard Sundvall, Steef, Taras Bobrovytsky, Ted Johnson, Thomas Krcmar, Timothy Sum Hon Mun, Torsten Reil, Tybie Fitzhugh, Ueli Gallizzi.
If you wish to appear here or pick up other perks, click here: https://www.patreon.com/TwoMinutePapers

Thumbnail background design: Felícia Zsolnai-Fehér - http://felicia.hu

Károly Zsolnai-Fehér's links:
Twitter: https://twitter.com/twominutepapers
Web: https://cg.tuwien.ac.at/~zsolnai/

Can GPT 4 Prompt itself? Give it a mission and it will come up with the prompts. This video showcases the rise of autonomous AI, including 5 major developments in the last 48 hours.

Starting with the OG Auto-GPT, we see how it quickly gain text-to-speech, coding and more. Karpathy weighs in and then we see how you can now create an app with just your voice, with a Jarvis demo and another route via Imagica.AI.

I then showcase MemoryGPT, a brand new model that can permanently store previous conversations and remembers topics the next time you ask.
I also cover the concerningly rise of models such as ChaosGPT that show how people will create malicious goal-seeking models just for fun.

The video shows how you can now create a shareable bot on poe.com, with any personality you like (images were from Midjourney v5) and what Anthropic are working on with Claude Next [plus Nvidia million x quote].

You'll see how Microsoft Jarvis, using HuggingGPT, is hit and miss, and how Sebastien Bubeck shows we are not even seeing the raw potential of GPT 4. I end with a disagreement between Yudkowsky and Altman, via Baby AGI, on whether we can use AGI to align AGI.

Illustration by Eva Bee: https://www.instagram.com/evabee_draws/?hl=en
Auto-GPT: https://github.com/Torantulino/Auto-GPT
With Coding: https://twitter.com/SigGravita....s/status/16421814982
With Text-to-speech: https://twitter.com/RokStrnisa..../status/164330875333
Karpathy Thoughts: https://twitter.com/karpathy/s....tatus/16426076206736
Mckay Wrigley: https://mobile.twitter.com/mck....aywrigley/status/164
Imagica.AI: https://www.imagica.ai/
MemoryGPT: https://twitter.com/rikvk01/st....atus/164478732705777
Create a Bot: https://poe.com/
TechCrunch: https://techcrunch.com/2023/04..../06/anthropics-5b-4-
Nvidia: https://www.fool.com/earnings/....call-transcripts/202
HuggingFace Demo: https://huggingface.co/spaces/microsoft/HuggingGPT
{Get the openai api key from https://platform.openai.com/account/api-keys and huggingface token from https://huggingface.co/docs/hub/security-tokens, (make sure to select 'write'). Press submit on the keys first and remember to use a smallish image.
Recursive Agent: https://twitter.com/DeveloperH....arris/status/1643080
Bubeck: https://www.youtube.com/watch?v=qbIk7-JPB2c
Baby AGI and Yudkowsky: https://twitter.com/ESYudkowsk....y/status/16405111562
Altman First Quote: https://www.youtube.com/watch?v=tPJIpx3KscY
And 2nd: https://www.youtube.com/watch?v=WHoWGNQRXb0
Chaos GPT: https://www.youtube.com/watch?v=g7YJIpkk7KM

https://www.patreon.com/AIExplained

When it comes to transformer-based language models, the more parameters the better. In this video, we go over how to fine-tune the largest open-sourced GPT model, GPT-J-6B.

Get started using GPT-J: https://helloforefront.com/contact-sales

More information on fine-tuning: https://docs.helloforefront.com/gpt-j/fine-tune

Experiment with GPT-J in our playground: https://playground.helloforefront.com

There are updated install instructions here: https://www.youtube.com/watch?v=pQGJc3i_BmE
This is a video that's by request... I talked about Auto-GPT in a past video and people asked me to show how to install it. So here's a quick step-by-step tutorial on how to install it. This is a pretty niche video but I'd like to have it in my library of videos to share with others later.

https://gitforwindows.org/
https://www.python.org/
https://github.com/Torantulino/Auto-GPT
https://agentgpt.reworkd.ai/
https://youtu.be/Qm2Ai_JiQmo

🛠️ Explore hundreds of AI Tools: https://futuretools.io/
📰 Weekly Newsletter: https://www.futuretools.io/newsletter
😊 Discord Community: https://futuretools.io/discord
🐤 Follow me on Twitter: https://twitter.com/mreflow
🐺 My personal blog: https://mattwolfe.com/
🌯 Buy me a burrito: https://ko-fi.com/mattwolfe

🍭 My Backgrounds: https://www.futuretools.io/desktop-backgrounds

Outro music generated by Mubert https://mubert.com/render

#AutoGPT #ChatGPT #gpt4

I tried the new AI tool for Logseq, and the result seems promising! Of course, GPT-3 won't magically make you smarter, but it does save you some time and helps you write more.

We're now seeing more and more AI writing tools like LEX and Jasper, but are there going to be more AI note-taking tools too?

Mentioned Tools:
LEX: https://lex.page/
Jasper: https://www.jasper.ai/
Napkin: https://napkin.one/?via=shu
Mem: https://get.mem.ai/
Logseq: https://logseq.com/
OpenAI: https://openai.com/api/


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ChatGPT is the most advanced AI chatbot ever released to the public. In this video, I show how you can use ChatGPT in your day-to-day marketing and to grow your business.
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○ https://openai.com/blog/chatgpt/
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What exactly can GPT-4 see? And does OpenAI have a plan for physical embodiment? Over 12 separate developments announced in the last few days are covered in this video, in which I showcase how improvements in text, speech, 3D, and embodiment are beginning to complement each other.

We'll take an early look at use cases for images in GPT 4, how Nvidia and Adobe are pushing boundaries in Text to 3D, at Sam Altman's Moore's Law For Everything, at the new LeRF model and Assembly AI's latest Speech-to-Text.

We will also see how OpenAI already had a Robotics team but now is invested in 1x, developing humanoid robots. But they are not the first, as Agility Robotics has shown...

Conformer Model: https://www.assemblyai.com/playground/source

Napkin-to-Code: https://twitter.com/rowancheun....g/status/16357445295
BeMyEyes: https://twitter.com/BeMyEyes/s....tatus/16356902546895
Tanishq: https://twitter.com/iScienceLuvr
Medical Questions: https://arxiv.org/pdf/2303.13375.pdf
VQA: https://arxiv.org/pdf/1904.08920.pdf
Scale is All You Need: https://twitter.com/markchen90..../status/163790378039
Nvidia Text-to-3D: https://twitter.com/chenhsuan_lin/status/1638543416723406849?t=rXEsDcEvsdmMPEsZPPhWmw&s=09
Adobe Firefly: https://www.youtube.com/watch?v=_sJfNfMAQHw
Moore's Law For Everything: https://moores.samaltman.com/#....:~:text=Moore%27s%20
LeRF 3D: https://arxiv.org/pdf/2303.09553.pdf
Wired: https://www.wired.com/story/fa....st-forward-for-smart
Conformer Model: https://www.assemblyai.com/playground/source
https://www.assemblyai.com/blog/conformer-1/
Boston Dynamics: https://www.youtube.com/watch?v=-e1_QhJ1EhQ
1X: https://www.1x.tech/
Quadrupedal Agility: https://arxiv.org/pdf/2303.11330.pdf
Rubik's Cube: https://openai.com/research/solving-rubiks-cube
Statues: https://twitter.com/TuurDemees....ter/status/163942172
GPT 4 Technical Report: https://arxiv.org/pdf/2303.08774.pdf
Agility Robotics: https://www.youtube.com/watch?v=FhlUI2xDxdE
Sam Altman Lex Fridman: https://www.youtube.com/watch?v=L_Guz73e6fw


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