Do you want to learn how to use one of the most powerful and versatile AI tools in the world? If yes, then you are in the right place. In this article, I’m going to show you how to use Stability AI’s Beluga, a suite of large and mighty instruction fine-tuned language models that can perform various tasks based on natural language instructions. 😍
Introduction
With Beluga, you can generate high-quality text for any purpose, such as content creation, education, entertainment, research, and more. You can also ask Beluga complex questions related to specialized domains, such as law and mathematics. Moreover, you can access Beluga models for free on Hugging Face, a platform that provides easy access to state-of-the-art natural language processing models. 🙌
Beluga consists of two models: Stable Beluga 1 and Stable Beluga 2. Both models are based on the LLaMA foundation models, which are large language models trained on a diverse and high-quality dataset of text from the internet. Stable Beluga 1 leverages the LLaMA 65B model and was fine-tuned with a synthetically generated dataset using Supervised Fine-Tune (SFT) in standard Alpaca format. Stable Beluga 2 leverages the LLaMA 2 70B model and achieves industry-leading performance.
Both models demonstrate exceptional reasoning ability across varied benchmarks, such as GPT4ALL and AGI Eval. They can also handle complex questions related to specialized domains, such as law and mathematics. Moreover, they are open-access and released under a non-commercial license to foster open research.
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How to access Beluga?
Beluga models are hosted on Hugging Face, a platform that provides easy access to state-of-the-art natural language processing models. You can find the models by searching for “stabilityai” on the Hugging Face website or by following these links:
You can also use the Hugging Face Transformers library to load the models in Python and use them for text generation. Here is an example code snippet that shows how to load Stable Beluga 2 and generate text based on an instruction:
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("stabilityai/StableBeluga2", use_fast=False)
model = AutoModelForCausalLM.from_pretrained("stabilityai/StableBeluga2", torch_dtype=torch.float16)
system_prompt = "### System:\nYou are Stable Beluga, an AI that follows instructions extremely well. Help as much as you can. Remember, be safe, and don't do anything illegal.\n\n"
message = "Write me a poem please"
prompt = f"{system_prompt}### User: {message}\n\n### Assistant:\n"
inputs = tokenizer(prompt, return_tensors="pt")
output = model.generate(**inputs, do_sample=True, top_p=0.95, top_k=, max_new_tokens=256)
print(tokenizer.decode(output[], skip_special_tokens=True))
The output of this code snippet might look something like this:
System:
You are Stable Beluga, an AI that follows instructions extremely well. Help as much as you can. Remember, be safe, and don't do anything illegal.
User: Write me a poem please
Assistant:
Here is a poem I wrote for you:
The sun is shining bright today
The sky is clear and blue
The birds are singing in the trees
The flowers are in bloom
But I am feeling sad and lonely
I miss your smile and your voice
I wish you were here with me
To share this lovely day
You are the light of my life
The reason for my joy
You are the one who makes me happy
The one who fills my heart
But you are far away from me
I don't know when we'll meet again
I hope you're doing well and fine
I hope you think of me
I'm sending you this poem today
To let you know I care
To let you know I love you so
To let you know I'm here
I hope you like this poem I wrote
I hope it makes you smile
I hope it makes you feel my love
I hope it makes you mine
How to use Beluga?
Beluga models can be used for various purposes, such as content creation, education, entertainment, research, and more. The main advantage of Beluga models is that they can follow natural language instructions very well, which means you can specify what kind of text you want them to generate.
For example, if you want Beluga to write an essay about a topic of your choice, you can give it an instruction like this:
Write an essay about why artificial intelligence is important for humanity.If you want Beluga to write a song lyrics for you, you can give it an instruction like this:
Write a song lyrics about falling in love with a stranger.If you want Beluga to write a code for you, you can give it an instruction like this:
Write a Python code that prints "Hello, world!" 10 times.The possibilities are endless, as long as you give clear and specific instructions. However, there are some limitations and ethical considerations that you should be aware of when using Beluga models.
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What are the limitations and ethical considerations of Beluga?
Beluga models are powerful and impressive, but they could be better. They have some limitations and ethical considerations you should consider when using them.
- Beluga models are trained on text from the internet, which means they might contain inaccurate, biased, or harmful information. You should always verify the facts and sources of the generated text and not unthinkingly trust them.
- Beluga models are not human and do not have common sense or moral values. They might generate text that is inappropriate, offensive, or illegal. It would help if you always used Beluga models responsibly and did not use them for malicious purposes.
- Beluga models are not creative or original. They might generate text that is similar or identical to existing text. You should always respect the intellectual property rights of others and not plagiarize or infringe on their work.
- Beluga models are not intended for commercial use. They are released under a non-commercial license that prohibits using them for profit or business purposes. You should always comply with the license terms and conditions and not violate them.
Frequently Asked Questions – FAQs
How does Stability AI’s Beluga work?
Beluga utilizes fine-tuned language models to perform tasks based on natural language instructions.
What are the two models within Beluga?
Beluga comprises Stable Beluga 1 and Stable Beluga 2, both powerful instruction-based models.
How can I access Beluga models?
You can find the models on Hugging Face’s website or through direct links provided by Stability AI.
What makes Beluga models suitable for specialized domains?
Beluga models excel in handling complex questions across various domains, including law and mathematics.
Are Beluga models open-access?
Yes, both Stable Beluga 1 and Stable Beluga 2 are open-access, fostering open research.
What precautions should I take when using Beluga models?
Verify information, avoid inappropriate or offensive content, respect intellectual property, and adhere to the non-commercial license.
Conclusion
Beluga models are amazing examples of open-access generative AI models that can follow natural language instructions very well. They can be used for various purposes, such as content creation, education, entertainment, research, and more. However, they also have some limitations and ethical considerations that you should be aware of when using them. You should always use Beluga models wisely and ethically and enjoy their benefits.
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