Did you ever wonder how to create a BERT or GPT2 tokenizer in your own language or on your own corpus? This video will teach you how to do this with any tokenizer of the 🤗 Transformers library.

This video is part of the Hugging Face course: http://huggingface.co/course
Open in colab to run the code samples:
https://colab.research.google.....com/github/huggingfa

Related videos:
- Building a new tokenizer: https://youtu.be/MR8tZm5ViWU

Don't have a Hugging Face account? Join now: http://huggingface.co/join
Have a question? Checkout the forums: https://discuss.huggingface.co/c/course/20
Subscribe to our newsletter: https://huggingface.curated.co/

This demo shows how to run large AI models from #huggingface on a Single GPU without Out of Memory error. Take a OPT-175B or BLOOM-176B parameter model .These are large language models and often require very high processing machine or multi-GPU, but thanks to bitsandbytes, in just a few tweaks to your code, you can run these large models on single node.

In this tutorial, we'll see 3 Billion parameter BLOOM AI model (loaded from Hugging Face) and #LLM inference on Google Colab (Tesla T4) without OOM.

This is brilliant! Kudos to the team.

bitsandbytes - https://github.com/TimDettmers/bitsandbytes
Google Colab Notebook - https://colab.research.google.....com/drive/1qOjXfQIAU

In this video, I will show you how to install PrivateGPT on your local computer. PrivateGPT uses LangChain to combine GPT4ALL and LlamaCppEmbeddeing for information retrieval from documents in different formats including PDF, TXT and CVS. The list of file types can be easily extended with PrivateGPT.

LINKS:
PrivateGPT GitHub: https://github.com/imartinez/privateGPT
Open Embeddings Video: https://youtu.be/ogEalPMUCSY
LLM Playlist: https://www.youtube.com/playli....st?list=PLVEEucA9MYh

▬▬▬▬▬▬▬▬▬▬▬▬▬▬ CONNECT ▬▬▬▬▬▬▬▬▬▬▬
☕ Buy me a Coffee: https://ko-fi.com/promptengineering
|🔴 Join the Patreon: Patreon.com/PromptEngineering
🦾 Discord: https://discord.com/invite/t4eYQRUcXB
▶️ Subscribe: https://www.youtube.com/@engin....eerprompt?sub_confir
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All Interesting Videos:
Everything LangChain: https://www.youtube.com/playli....st?list=PLVEEucA9MYh

Everything LLM: https://youtube.com/playlist?l....ist=PLVEEucA9MYhNF5-

Everything Midjourney: https://youtube.com/playlist?l....ist=PLVEEucA9MYhMdrd

AI Image Generation: https://youtube.com/playlist?l....ist=PLVEEucA9MYhPVgY

Get notified of the free Python course on the home page at https://www.coursesfromnick.com

Sign up for the Full Stack course here and use YOUTUBE50 to get 50% off:
https://www.coursesfromnick.com/bundl...

Hopefully you enjoyed this video.
💼 Find AWESOME ML Jobs: https://www.jobsfromnick.com

Oh, and don't forget to connect with me!
LinkedIn: https://bit.ly/324Epgo
Facebook: https://bit.ly/3mB1sZD
GitHub: https://bit.ly/3mDJllD
Patreon: https://bit.ly/2OCn3UW
Join the Discussion on Discord: https://bit.ly/3dQiZsV

Happy coding!
Nick

Introduction to the world of LLM (Large Language Models) in April 2023. With detailed explanation of GPT-3.5, GPT-4, T5, Flan-T5 to LLama, Alpaca and KOALA LLM, plus dataset sources and configurations.
Including ICL (in-context learning), adapter fine-tuning, PEFT LoRA and classical fine-tuning of LLM explained. When to choose what type of data set for what LLM job?

Addendum: Beautiful, new open-source "DOLLY 2.0" LLM was not published at time of recording, therefore a special link to my video explaining DOLLY 2:
https://youtu.be/kZazs6V3314

A comprehensive LLM /AI ecosystem is essential for the creation and implementation of sophisticated AI applications. It facilitates the efficient processing of large-scale data, the development of complex machine learning models, and the deployment of intelligent systems capable of performing complex tasks.

As the field of AI continues to evolve and expand, the importance of a well-integrated and cohesive AI ecosystem cannot be overstated.

A complete overview of today's LLM and how you can train them for your needs.

#naturallanguageprocessing
#LargeLanguageModels
#chatgpttutorial
#finetuning
#finetune
#ai
#introduction
#overview
#chatgpt

Dead simple way to run LLaMA on your computer. - https://cocktailpeanut.github.io/dalai/

LLaMa Model Card - https://github.com/facebookres....earch/llama/blob/mai

LLaMa Announcement - https://ai.facebook.com/blog/l....arge-language-model-

❤️ If you want to support the channel ❤️
Support here:
Patreon - https://www.patreon.com/1littlecoder/
Ko-Fi - https://ko-fi.com/1littlecoder

I am excited to bring you a comprehensive step-by-step guide on how to fine-tune the newly announced MPT-7B parameters model using just a single GPU. This remarkable model is not only open source but also commercializable, making it a valuable tool for a wide range of natural language processing (NLP) tasks. MPT token size beat GPT4 and also it outperformed many available language models like GPT-J, LLAMA and etc.

Don't forget to subscribe to our channel and hit the notification bell to stay updated with the latest tutorials and developments in the field of AI. Let's dive in and empower your AI projects with the limitless potential of MPT-7B!

Other commercializable LLM: https://github.com/eugeneyan/open-llms
Notebook: https://github.com/antecessor/mpt_7b_fine_tuning

LangChain: https://github.com/hwchase17/langchain

Large language models (LLMs) are emerging as a transformative technology, enabling developers to build applications that they previously could not. But using these LLMs in isolation is often not enough to create a truly powerful app - the real power comes when you can combine them with other sources of computation or knowledge.

This library is aimed at assisting in the development of those types of applications. Common examples of these types of applications include:

GPT Index: https://github.com/jerryjliu/gpt_index

Context
LLMs are a phenomenonal piece of technology for knowledge generation and reasoning.
A big limitation of LLMs is context size (e.g. Davinci's limit is 4096 tokens. Large, but not infinite).
The ability to feed "knowledge" to LLMs is restricted to this limited prompt size and model weights.
Proposed Solution
At its core, GPT Index contains a toolkit of index data structures designed to easily connect LLM's with your external data. GPT Index helps to provide the following advantages:

Remove concerns over prompt size limitations.
Abstract common usage patterns to reduce boilerplate code in your LLM app.
Provide data connectors to your common data sources (Google Docs, Slack, etc.).
Provide cost transparency + tools that reduce cost while increasing performance.

❤️ If you want to support what we are doing ❤️
Support here:
Patreon - https://www.patreon.com/1littlecoder/
Ko-Fi - https://ko-fi.com/1littlecoder

If you've been using ChatGPT, you already know the mindblowing potential A.I has! But ChatGPT is only scratching the surface. There is so much more we can do with A.I. to make us more productive and - by the end of the day - generate more revenue.

Let me show you 5 ways to use A.I. to run your online business.

00:00 Introduction
01:31 Idea Generation (ChatGPT)
03:19 Script Writing (GPT-3)
06:12 Creating Content (FeedHive)
08:46 AI Generated Thumbnails (Stable Diffusion)
11:57 Writing Software (ChatGPT + GitHub Copilot)
14:03 What's Next?

#chatgpt #gpt3 #feedhive #stablediffusion #ai #makingmoneyonline
------------------------------------------------------------------------------------------------
⭐ Try FeedHive

Try FeedHive for FREE in 7 days using the link below.
When you sign up, use this promo code:
→ FHYT25

This will give you 25% OFF on any plan in the first year.
Get started here → https://simonl.ink/feedhive25off

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

Learn how to fine-tune a GPT-3 model:
https://simonl.ink/gpt3finetuning

Learn how to train a Stable Diffusion model:
https://simonl.ink/stablediffusiontraining

------------------------------------------------------------------------------------------------
Check out these videos next:

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

5 Smart SaaS Pricing Hacks to Increase MRR
https://www.youtube.com/watch?v=AbVwuTXpf6E

------------------------------------------------------------------------------------------------
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#gpt4chan #4chan #ai

GPT-4chan was trained on over 3 years of posts from 4chan's "politically incorrect" (/pol/) board.
(and no, this is not GPT-4)

EXTRA VIDEO HERE: https://www.youtube.com/watch?v=dQw4w9WgXcQ

Website (try the model here): https://gpt-4chan.com
Model (no longer available): https://huggingface.co/ykilcher/gpt-4chan
Code: https://github.com/yk/gpt-4chan-public
Dataset: https://zenodo.org/record/3606810#.YpjGgexByDU

OUTLINE:
0:00 - Intro
0:30 - Disclaimers
1:20 - Elon, Twitter, and the Seychelles
4:10 - How I trained a language model on 4chan posts
6:30 - How good is this model?
8:55 - Building a 4chan bot
11:00 - Something strange is happening
13:20 - How the bot got unmasked
15:15 - Here we go again
18:00 - Final thoughts

ERRATA:
- I stated that the model is better on the automated parts of TruthfulQA than any other GPT out there, which is incorrect. There exist some small GPT-models with similar performance, I was mainly talking about the flagship models, such as GPT-3 and GPT-J.

Links:
Merch: https://ykilcher.com/merch
TabNine Code Completion (Referral): http://bit.ly/tabnine-yannick
YouTube: https://www.youtube.com/c/yannickilcher
Twitter: https://twitter.com/ykilcher
Discord: https://ykilcher.com/discord
BitChute: https://www.bitchute.com/channel/yannic-kilcher
LinkedIn: https://www.linkedin.com/in/ykilcher
BiliBili: https://space.bilibili.com/2017636191

If you want to support me, the best thing to do is to share out the content :)

If you want to support me financially (completely optional and voluntary, but a lot of people have asked for this):
SubscribeStar: https://www.subscribestar.com/yannickilcher
Patreon: https://www.patreon.com/yannickilcher
Bitcoin (BTC): bc1q49lsw3q325tr58ygf8sudx2dqfguclvngvy2cq
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GPT-3 was in all news its Human-like Text Generation capabilities. Shame it was never opensourced by Open AI (!). Hence EleutherAI with a bunch of researchers set out to create a true GPT-3 open-source alternative and GPT-J-6B is the product of those efforts.

GPT-J-6B is a 6 billion parameter, autoregressive text generation model trained on The Pile.

Useful Links:
✅ Mesh Transformer JAX - https://github.com/kingoflolz/mesh-transformer-jax
✅ GPT-J-6B: 6B JAX-Based Transformer Blogpost by Aran Komatsuzaki - https://arankomatsuzaki.wordpr....ess.com/2021/06/04/g
✅Web Demo of GPT-J-6B for Text Generation - https://6b.eleuther.ai/
✅Colab (Python) Notebook - https://colab.research.google.....com/github/kingoflol
✅JAX - https://jax.readthedocs.io/en/....latest/notebooks/qui

Related Videos:

🎥 AI Text Generation with GPT-3 OpenSource Alternative GPT-Neo Model using Hugging Face Hub
- https://www.youtube.com/watch?v=0PuVk6c8Ua8

🎥 AI-Generated Blog Content with GPT-Neo (GPT-3 Alternative) + Gradio | Python ML Web App - https://youtu.be/d_xRYyy2LFM

The Chat GPT API is now available for developers to start using. Finally you can integrate Chat GPT into your Apps!

✅ Join my Free Chat GPT Community: https://jasonwest.com/chatgptgroup

🔥 Ready to Master ChatGPT? Get the ultimate ChatGPT Course at: https://ChatGPTSkool.com

Tools
***************************
👉 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 CONTENT DETECTORS
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👉 Guaranteed method: https://jasonwest.com/undetectable

DOWNLOAD
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⤵️ 10 Valuable Tips to Improve Your Funnels - https://jasonwest.com/funnel-tips

👉 Interested in starting your own 6 Figure Website and Funnel Agency? Learn more about my White Label Funnel Agency at: https://whitelabelfunnelagency.com/startagency/

*Affiliate Disclaimer:
Note this description may contain affiliate links that allow you to find the items mentioned in this video and support the channel at zero cost to you. Thank you for your support! 🙏🏻

#chatgpt #openai #jasonwest

We asked GPT-3 "if they could be a human, would they want to" and this happened..

✔️ More GPT-3 Interviews: https://www.youtube.com/playli....st?list=PLy-h3fhzw40

Disclaimer: We spoke to GPT-3 using Emerson by QuickChat.ai then visualized the responses with Synthesia.io and are not associated with these companies in any way. All responses from the AI are genuine and are only edited for grammar and/or processing errors.

#gpt3 #artificialintelligence #human

How do all the algorithms, like ChatGPT & Bing, around us learn to do their jobs?

**OMG PLUSHIE BOTS!!**: https://store.dftba.com/collec....tions/cgp-grey/produ

Bot Wallpapers on Patreon: https://www.patreon.com/posts/15959388

Footnote: https://www.youtube.com/watch?v=wvWpdrfoEv0

Thank you to my supporters on Patreon:

James Bissonette, James Gill, Cas Eliëns, Jeremy Banks, Thomas J Miller Jr MD, Jaclyn Cauley, David F Watson, Jay Edwards, Tianyu Ge, Michael Cao, Caron Hideg, Andrea Di Biagio, Andrey Chursin, Christopher Anthony, Richard Comish, Stephen W. Carson, JoJo Chehebar, Mark Govea, John Buchan, Donal Botkin, Bob Kunz

https://www.patreon.com/cgpgrey

How neural networks really work with the real linear algebra: https://www.youtube.com/watch?v=aircAruvnKk


Music by: http://www.davidreesmusic.com

Using Chat GPT and other AI in the Music Business

Connect with Jimmy: https://jimmymakemusic.com/

Social: https://jimmymakemusic.carrd.co/

Beats: https://jimmymakemusic.beatstars.com/

Using some form of AI in the music business is not new. Something as simple as changing the key and tempo in a session in Logic is using AI in a simple form. But now we're headed toward something else. Not just AI music creation, but music marketing.

There have been creative AIs for a while now. Rytr can help finish an article. Writesonic can help start new ideas. Hell, Caktus can write a whole essay for you. And AI-generated images seem commonplace now. Sites like veed.io and invideo create videos FOR you. Tuneform and Headliner make visualizers. Making everyone less reliant on video producers. What about making music? It’s coming for us too. Sites like sounddraw.io can make AI-generated instrumentals and beats. Open AI’s MuseNet can make full compositions automatically with midi files. Jarvis Lyrics can write full lyrics for a song, and Uberduck can generate rappers' voices. Sites like Stemmer can mix the song, and there are a ton of online mastering options like BadLab and LANDR. and Jukebox makes full damn songs. Lyrics and instruments.

I’m no music critic or audiophile but fully AI made songs…sound as such…for now. There’s a real disconnect between the song and the listener, and I’m not sure how that gap is going to be filled yet. That being said, to be clear, AI can write the lyrics, sing the lyrics, play the instruments, mix the song, master the song, and create video content for the song.

So, how do we get out in front of all this AI? Use it of course!

You know that saying keep your friends close and your enemies closer? That’s what we’re going to do. Some of you may have heard of ChatGPT. It’s all the rage right now because it’s an AI assistant like the public has never seen. And it’s even created the company that created the foundation for many of the AIs I mentioned earlier. This thing can give you diet advice, do research on ANY subject for you and write the article. It can write code for an app, and even write a blog post for you. But don’t use it for that because the same company that created CHATGPT works with companies like huggingface.co whose job it is to detect AI-generated writing. And companies similar to hugging face do and will continue to work with search engines to filter AI-generated content while penalizing those who use it for unintended purposes.

So how DO we use it? The same way big companies do! CHAT GPT was created by a company named OpenAI. They are the ones largely responsible for AI use for chatbots. Many companies use it for data research and marketing. That’s how we’re going to use it...

Just a final, personal/professional thought…We need to be careful with this technology. Not just because of the countless jobs that’ll be lost, but because it can eventually create a loop of inception. I don’t think I’m using that right but, there’s a base of information that is the human experience with technology: blog posts, fact sites, articles, and search histories, that AI uses to give you information. Then you use AI to create and put out content. Then the AI uses that info you put out to create more information. Then that information is given to another human or AI who uses it to create another piece of content. And the loop continues. AI will just be feeding itself its own information. Which is sure to get distorted in some way, ending in data that’s either not useful or watered-down.

So, I’m glad that companies are on top of filtering AI-generated content. I just hope they can keep up.

#chatgpt #ai #musicproducer

Are you curious about how Chat GPT is created? Do you want to learn how to train your own AI chatbot? Look no further! In this video, we'll walk you through the process of training your very own chat GPT (Generative Pre-trained Transformer) model from scratch.
With our expert guidance, you'll discover the tools and techniques needed to build a chatbot that can understand and respond to natural language input. From data collection to model training, we'll cover it all.
PS: This complete video is created using AI tools, even the AI avatar.

Cornell Movie--Dialogs Corpus:
https://www.cs.cornell.edu/~cr....istian/Cornell_Movie

🌟 Please leave a LIKE ❤️ and SUBSCRIBE for more AMAZING content! 🌟



#ai #datascience #chatgpt


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00:00 Introduction
00:27 Step 1 Choose your dataset
01:01 Step 2 Preprocess your dataset
01:34 Step 3 Fine tune your model
02:03 Step 4 Evaluate your model
02:29 Step 5 Deploy your model
02:54 Conclusion