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I received a review copy.
Here my review:

- the book is written in a very understandable way - even I managed to do all tasks
- setup took me around 5 hours (with my kids around me, so without probably 3 hours)
- it guides you step by step to train your GPT3 for your purpose / and also AI21 Labs
- there are no aditional things you need to buy, all tools are free
- he gives a lot of samples to easy teach the machine your ideas
- everything is explained in an easy way
- if you read the book, while setting up your "model", you will get a lot of ideas how to use it for you
- I am very very satisfied with the tool I created and it will help a lot in my business
- the price is, for what you get, far to cheap

Any questions? Feel free to ask me!
 
I received a review copy.

Overall, this is a very detailed and well-written guide. The author covers everything, step by step, where you can get data, how to format it, and how to fine-tune it to make great articles. All the steps have pictures, so you can easy to follow them. The best part is that the author will teach you how to do all of these things in Postman, so you don't need to know to code. So if you want to get into AI SEO but don't know anything about code, this ebook is for you.
 
Received a review copy so this is my review:

I'm used with sending API calls to OpenAI, so by just reading the book I could understand how fine tuning can be done.

You don't have to know how to code/program to make this work, but:

You'll need to pay attention to details.
You will have to install and use some tools, tweak some variables, format some data files and also gather data on your own (for the training processes).

Luckily, OP explained everything pretty well, and made use of multiple example images too.

If you believe fine-tuning AI text generators like GPT will benefit you, and don't want to waste time on researching how to do it, then the e-book is worth it.
I received my review copy in exchange for my review:

1) The word that got me excited was no need to learn to code!!! And now I’m drooling that it’s so simple.

2) I for one have been shying away from AI content as I was not sure how to use it.

3) However this guide solves it for me, very well crafted and very helpful for a noob like me.

4) While I don’t have a time frame yet, but I’m keen to implement this guide and I hope to get new updates too being greedy here but it’s worth it.
I received a review copy for this updated version of @GainTheImpossible new eBook.

For full disclosure, the fact that I received the ebook for free in no way it will influence the criteria I use to evaluate the value I received with the ebook.

I am responsible to this community for sharing the most objective and unbiased review so others can better understand what to expect before purchasing.

So, having said all that...Let´s get to it!

eBook Overview
  • 45 pages
  • Lots of screenshots
  • Lots of links to external resources
Content Overview
  • Pretty well damn structured
  • Content is insanely easy to follow and understand even if you know nothing about the topic.

Is it worth the money?

This is THE question, isn´t it?

Well, in my opinion, it does!

But it might be different for you.

The value you will get from this eBook (or any other material of this nature) is a very subjective thing that highly depends to where you are regarding that topic.

I´ve been spending a lot of time this past few weeks researching and trying to learn as much as possible about fine-tuning my own custom GPT3 model, as I am not satisfied with the output other tools provide (even the all-mighty Jasper).

So, my main focus will be building the dataset, and here is where I will need all your assistance @GainTheImpossible :D :p

Bottom Line

If you have the budget and this is a topic you´re not familiar with and are looking to build your own custom GPT3 model...BUY IT!!

You won´t find this information ANYWHERE on the internet condensed so neatly in a 45-page eBook.

Trust me on this one...I KNOW!
I recently got my review copy for "How to Fine-Tune OpenAI" and I found it to be an incredibly informative and valuable resource.

One of the things that I found most helpful is the clear and detailed explanations of the technical concepts. The author does an excellent job of providing step-by-step instructions on how to fine-tune models using OpenAI, making it easy and accessible to readers with varying levels of technical expertise.

The book also provides step-by-step instructions on how to fine-tune models using OpenAI. It covers the process of loading pre-trained models, modifying the model architecture, and training the model on new data. The author also provides tips and tricks on how to optimize model performance and troubleshoot common issues.

Overall, this e-book is a valuable resource for anyone interested in working with OpenAI. It provides a comprehensive and easy-to-understand guide to fine-tuning models using OpenAI and is an excellent resource for both beginners and experienced users. I highly recommend it.
I received a review copy.

I am building my own SaaS solution that's based on OpenAI, so this ebook was a really valuable resource for me and helped a lot in fast-tracking/learning information about very specific use cases i.e. ''fine-tuning'' AI models.

The ebook is well-written and has easy-to-follow, step-by-step instructions.

To be honest, I did not consider ever building my own ''fine-tuning'' AI model, as the ''text-davinci-3 and 4'' can perform well, but yes, this ebook opened my eyes to the fact that your own model, can be really useful if you are looking to work in a specific niche, or you have very unique datasets, that maybe OpenAI was not trained on.

Also, I believe that as more and more people will be using the same methods/generic default modules, for like SEO content, the content will be repetitive and leave some kind of footprint, or overall quality will be low.

So this ebook definitely takes you a step forward ahead of the competition. I will definitely implement support for custom fine-tuned models in my SaaS now.
I received a review copy of the ebook and was very impressed by the material. @GainTheImpossible does a fantastic job of simplifying the complicated subject of GPT-3 fine-tuning and providing simple, step-by-step directions.

The ebook is 45 pages long, but it is jam-packed with useful information and definitely worth reading. In addition to various examples and datasets, @GainTheImpossible presents a comprehensive explanation of the method and its potential, as well as practical tips and tricks for fine-tuning models.

The usefulness of this ebook is determined by how you use it, but I believe that if you follow the directions, you will be able to create very high quality content that is tailored to your needs. I recommend this ebook to anyone looking for an easy-to-follow guide to fine-tuning GPT-3.

I received a review copy.
Here my review:

- the book is written in a very understandable way - even I managed to do all tasks
- setup took me around 5 hours (with my kids around me, so without probably 3 hours)
- it guides you step by step to train your GPT3 for your purpose / and also AI21 Labs
- there are no aditional things you need to buy, all tools are free
- he gives a lot of samples to easy teach the machine your ideas
- everything is explained in an easy way
- if you read the book, while setting up your "model", you will get a lot of ideas how to use it for you
- I am very very satisfied with the tool I created and it will help a lot in my business
- the price is, for what you get, far to cheap

Any questions? Feel free to ask me!
I received a review copy.

Overall, this is a very detailed and well-written guide. The author covers everything, step by step, where you can get data, how to format it, and how to fine-tune it to make great articles. All the steps have pictures, so you can easy to follow them. The best part is that the author will teach you how to do all of these things in Postman, so you don't need to know to code. So if you want to get into AI SEO but don't know anything about code, this ebook is for you.

Thank you all for the kind words.

The e-book is now available at a discount price (From 99$ to 68$) -> Get it directly from my website: https://tuningmaker.com/pricing/
 
Thanks to OP, Received a review copy
The book is long but written very good and straightforward
You can setup it easily following the instructions step by step, Also he added screenshots to make it easier
I think it's better spending on AI tools which you don't have control on it
It will save you money on the long term, Price is very affordable as well
 
I received a review copy:

Intro: The book "How to Fine-Tune OpenAI" is a guide that provides step-by-step instructions on fine-tuning models using OpenAI. It is written in a clear and understandable way, making it accessible to readers with varying levels of technical expertise.

Pros:
  • The book is written in a very understandable way, making it easy to follow along.
  • It provides step-by-step instructions on how to fine-tune models using OpenAI, guiding the reader through the process of loading pre-trained models, modifying the model architecture, and training the model on new data.
  • The author provides tips and tricks on how to optimize model performance and troubleshoot common issues.
  • The author covers everything, including where to get data, how to format it, and how to fine-tune it to make great articles.
  • The book includes pictures to make it easy to follow the instructions.
  • The author teaches how to do all the steps in Postman, so you don't need to know how to code.
Cons:
  • Setup can take a bit of time.
Conclusion: Overall, "How to Fine-Tune OpenAI" is a valuable resource for anyone interested in working with OpenAI. It provides a comprehensive and easy-to-understand guide to fine-tuning models using OpenAI and is an excellent resource for both beginners and experienced users. The book is well-written and easy to understand, making it accessible to a wide range of readers. The author provides detailed instructions and tips on how to optimize model performance, making it easy to create a custom model for your specific needs. The book is also reasonably priced, making it a great value for the information provided.

PS: part of this review text was written with AI, after reading the guide.
 
Thanks to OP, Received a review copy
The book is long but written very good and straightforward
You can setup it easily following the instructions step by step, Also he added screenshots to make it easier
I think it's better spending on AI tools which you don't have control on it
It will save you money on the long term, Price is very affordable as well
I received a review copy:

Intro: The book "How to Fine-Tune OpenAI" is a guide that provides step-by-step instructions on fine-tuning models using OpenAI. It is written in a clear and understandable way, making it accessible to readers with varying levels of technical expertise.

Pros:
  • The book is written in a very understandable way, making it easy to follow along.
  • It provides step-by-step instructions on how to fine-tune models using OpenAI, guiding the reader through the process of loading pre-trained models, modifying the model architecture, and training the model on new data.
  • The author provides tips and tricks on how to optimize model performance and troubleshoot common issues.
  • The author covers everything, including where to get data, how to format it, and how to fine-tune it to make great articles.
  • The book includes pictures to make it easy to follow the instructions.
  • The author teaches how to do all the steps in Postman, so you don't need to know how to code.
Cons:
  • Setup can take a bit of time.
Conclusion: Overall, "How to Fine-Tune OpenAI" is a valuable resource for anyone interested in working with OpenAI. It provides a comprehensive and easy-to-understand guide to fine-tuning models using OpenAI and is an excellent resource for both beginners and experienced users. The book is well-written and easy to understand, making it accessible to a wide range of readers. The author provides detailed instructions and tips on how to optimize model performance, making it easy to create a custom model for your specific needs. The book is also reasonably priced, making it a great value for the information provided.

PS: part of this review text was written with AI, after reading the guide.

Thank you guys for the nice reviews!

Now available from 99$ to 50$ Only - Get this discount before it runs out ;)

Comment "Discount" for a flat 50% !
 
Discount

Two pre-sale questions:
Will I actually teach OpenAI how to write 800-1200 word articles with the tips in this ebook?
Are there any tips for prompts in the ebook?
 
Discount

Two pre-sale questions:
Will I actually teach OpenAI how to write 800-1200 word articles with the tips in this ebook?
Are there any tips for prompts in the ebook?

Answered! Thank you :)

Giving away 10 more 50% to first 10 lucky buyers - Now with AI rising, you must know how to fine-tune your own!

Let us get started ;).

Just comment for discount.
 
Giving away 10 more 50% to first 10 lucky buyers - Now with AI rising, you must know how to fine-tune your own!

Let us get started ;).

Just comment for discount.
 
I have no much knowledge in ML or Python and coding stuff. Will I still be able to fine tune a model easily with this guide? Any learning curves here? Let me know. If it's easy I ll grab a discount coupon.
 
I have no much knowledge in ML or Python and coding stuff. Will I still be able to fine tune a model easily with this guide? Any learning curves here? Let me know. If it's easy I ll grab a discount coupon.

Hey man!

Definitely, it's not much about Python but rather how you can do it without coding skills(mostly for no-programmers). So yeah, it gets pretty easy.

And I am always available to help if needed.

Unfortunately, the discounts have been handed out to 12 out of 10 people(yep, more than I expected). So the only discount I have is he one from 99$ to 68$.

I will send you the link, cheers!
 
Right now, get it for 40$ Only ---

Available for the next 5 people.

Comment for it or message me on BHW - Cheers!
 
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