How to Fine-Tune and Train LLMs With Your Own Data EASILY and FAST- GPT-LLM-Trainer
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- Опубликовано: 20 авг 2024
- Welcome to the ultimate solution for training large language models effortlessly! If you've ever struggled with the complexities, costs, and computational demands of training LLMS, then you're in for a treat. In this video, we unveil the game-changing GPT-LLM-Trainer - your gateway to hassle-free LLM training. Say goodbye to the painstaking process of data collection, formatting, model selection, and coding. Say hello to a new era of simplicity, affordability, and efficiency!
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[Links Used]:
GPT-LLM-Trainer Github Repo: github.com/msh...
Google Colab: colab.research...
Matt's Twitter (Creator): / 1689323331395231754
OpenAi API Key: platform.opena...
Key Takeaways:
- Demystifying LLM Training Challenges
- Introducing GPT-LLM-Trainer: Your New Best Friend
- How GPT-LLM-Trainer Simplifies the Training Pipeline
- Harnessing GPT-4 for Optimal Model Performance
- How to Train Your Own GPT
- How to Fine-Tune LLMs With Your Own Data
In the world of large language models, training can be a daunting journey. Gathering datasets, refining them meticulously, formatting for model compatibility, coding training scripts - it's a demanding ordeal. But fear not! Enter GPT-LLM-Trainer, the revolutionary solution designed to change the game. Imagine creating a high-performing, task-specific LLM model without breaking the bank or losing your sanity. With GPT-LLM-Trainer, it's not a dream - it's reality. We've engineered a streamlined pipeline that turns your concept into a trained model. Just provide a task description, and watch as the magic unfolds. GPT-LLM-Trainer generates datasets from scratch, formats them perfectly, and fine-tunes a model tailored to your needs. Today, we're diving deep into GPT-LLM-Trainer's powers. Witness the process as we fine-tune with the incredible Llama 2 model. See how GPT-4 orchestrates three vital stages: Dataset Generation, System Message Crafting, and Fine-Tuning. This three-tiered approach simplifies training, automating complex steps while enhancing model performance.
Want to conquer LLM training hurdles? GPT-LLM-Trainer has your back. No more guesswork, no more colossal expenses. Just a seamless path from concept to model. Simplify your LLM training journey - join us now!
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Additional Tags & Keywords:
LLM Training, GPT-LLM-Trainer, Language Model Training, LLM Pipeline, Llama 2, GPT-4, Streamlined Training, Affordable LLM Training, Easy LLM Training, Model Fine-Tuning, Task-Specific Models
Hashtags:
#LLMTraining #GPTLLMTrainer #LanguageModel #Llama2 #EfficientTraining #ModelFineTuning
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It's insane that we have now reached a stage where the regular joe blogs can finetune their own LLM. We got t the is stage so blindingly fast.
haha honestly!
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looks awesome. Its over my head.
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you could consider hiding your Open-ai-key ;)
😂😂
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This is exactly what I was looking for, awesome! Love the pace and clarity of the voice over. Keeps getting better.
Each tutorial only shows how to train prompts.
I would like to know how I could train my own PDFs.
I agree i'd be nice if you could dump PDFs into one
is there a way to use book epub/pdfs to train llms?
Yes you can use pdf as source of knowledge and load using document loader and using vector embedded store in vector database and can now query the question search the answer from the database
very nice and informative video. I need a help here, can you please suggest me step-by-step that to train a Medical related data, what I will have to do to train it using GPT 4 LLM model. Thank you
I don't have api, can i create my own data set and upload it to train LLM instead of running gpt4
Thank you! More power to you!
Hey, can i train a Chatgpt on my writing contents to create blog post using my writing style And if yes, how should i do it?
Love the video
Thanks a lot. Have a great day!
“Introduction to GenAI and Simple LLM Inference on CPU and finetuning of LLM Model to create a Custom Chatbot” - This project is assigned to me , i am quite confused Can anyone help me ?
Great as always! thank you :)
Thanks so much! Appreciate it a lot. Have a great day.
If I have a csv file to create a custom LLM, can I add the .csv path to dataset-name
why do i get "The model `gpt-3.5` does not exist"
it's gpt-3.5-turbo
i am facing the same problem
Cute cats
Whats that dataset part...will it be on hughing face too?
You rocked this is a great content for LLM Trainer
Thanks a lot my man! Have a great day
Why not use text generation webui? Easier, more customizability and it's free right? Or am I wrong?
Hi @WorldofAI Would the GPT-LLM-Trainer be ideal for this use case: Fine tuning an LLM to write in a certain style? For example, "blue widget repair" websites have a certain style of writing. I would also like it to adhere to some specific grammar instructions (e.g., "write in active voice"). Thanks!
Does the free openAI api works?
I am trying to use your tutorial to train a local model running in LM-Studio on server mode is that possible? I downloaded your notebook for llama 2 and opened in on jupyter notebook. Is that a use case that should work?
Hi, great video thanks. Do I need a new PC or is it better to use vrtual PC in the Web? And if PC is needed, which good configuration is needed (sorry for that :-) CU Leonardo from germany
¿Crees que podemos pasar la formación a través de un pdf con la información cargada? Es bastante caro estar ejecutando el programa todo el tiempo y cuando lo ejecuto, ¿qué tienes que hacer ya que no se muestra en el video
Big thanks for your video but, it doesn't work at "Load Datasets and Train" cause of "model = AutoModelForCausalLM.from_pretrained" highlighted in red