predibase.com Open in urlscan Pro
75.2.60.5  Public Scan

Form analysis
0 forms found in the DOM

Text Content

 * Platform
 * Models
 * Pricing
 * Solutions
      
    * ML and LLM Tasks
    * Use Cases
   
   
 * Blog
 * Learn
      
    * Resources
    * Docs
    * Join our Community
   
   
 * Try Predibase
 * Sign In



Now Available

Now Available

LoRA Land: fine-tuned OSS models that outperform GPT-4



THE FASTEST WAY TO
FINE-TUNE AND SERVE LLMS

Try PredibaseDocs
FROM THE CREATORS OF &


Built by AI leaders from Uber, Google, Apple and Amazon. Developed and deployed
with the world’s leading organizations.




FINE-TUNE AND SERVE 100S OF OPEN-SOURCE LLMS



The biggest selection of models at industry-leading pricing




CODELLAMA 13B INSTRUCT

Code Llama is a collection of pretrained and fine-tuned generative text models
ranging in scale...

Try it for free




PHI 3 4K INSTRUCT

The Phi-3-Mini-4K-Instruct is a 3.8B parameters, lightweight, state-of-the-art
open model trained...

Try it for free




LLAMA 3 8B

Meta developed and released the Meta Llama 3 family of large language models
(LLMs), a collection...

Try it for free




MIXTRAL 8X7B V01

The Mixtral-8x7B Large Language Model (LLM) is a pretrained generative Sparse
Mixture of Experts...

Try it for free

See full list of supported models


BIGGER ISN’T ALWAYS BETTER

Fine-tune smaller task-specific LLMs that outperform bloated alternatives from
commercial vendors. Don’t pay for what you don’t need.




EFFICIENT FINE-TUNING AND SERVING

Train and deploy task-specific open-source models in record time and under
budget.

First-class fine-tuning experience

Predibase offers state-of-the-art fine-tuning techniques out of the box such as
quantization, low-rank adaptation, and memory-efficient distributed training to
ensure your fine-tuning jobs are fast and efficient—even on commodity GPUs.

The most cost-effective serving infra

With Serverless Fine-Tuned Endpoints and token-based pricing you can stop paying
for GPU resources you don’t need. Our unique serving infra–LoRAX–lets you
cost-effectively serve many fine-tuned adapters on a single GPU in dedicated
deployments.

Your Models, Your Property

Start owning and stop renting your LLMs. The models you build and customize on
Predibase are your property, regardless of whether you use the Predibase Cloud
and Serverless Fine-Tuned Endpoints or deploy inside your VPC.


THE FASTEST WAY TO FINE-TUNE AND DEPLOY ANY OPEN-SOURCE LLM

Fine-tune and serve any open-source LLM. Our proven, scalable infrastructure is
available through either serverless fine-tuned endpoints or within your
environment’s virtual private cloud.


TRY ANY OPEN SOURCE LLM IN AN INSTANT

Stop spending hours wrestling with complex model deployments before you’ve even
started fine-tuning. Deploy and query the latest open-source pre-trained
LLM—like Llama-2, Mistral and Zephyr—so you can test and evaluate the best base
model for your use case. Scalable managed infrastructure in your VPC or
Predibase cloud enables you to achieve this in minutes with just a few lines of
code.

# Deploy an LLM from HuggingFace
pb.deployments.create(
    name="my-llama-2-13b-deployment",
    description="Deployment of Llama-2-13B in Predibase Cloud",
    config=DeploymentConfig(
        base_model="meta-llama/Llama-2-13b",
    )
)

# Prompt the deployed LLM
client = pb.deployments.client("my-llama-2-13b-deployment")
client.generate("Write an algorithm in Java to reverse the words in a string.")    





EFFICIENTLY FINE-TUNE MODELS FOR YOUR TASK

No more out-of-memory errors or costly training jobs. Fine-tune any open-source
LLM on the most readily available GPUs using Predibase’s optimized training
system. We automatically apply optimizations such as quantization, low-rank
adaptation, and memory-efficient distributed training combined with right-sized
compute to ensure your jobs are successfully trained as efficiently as possible.

# Kick off the fine-tune job
adapter = pb.finetuning.jobs.create(
    config={
        "base_model": "meta-llama/Llama-2-13b",
        "epochs": 3,
        "learning_rate": 0.0002,
    },
    dataset=my_dataset,
    repo="my_adapter",
    description='Fine-tune "meta-llama/Llama-2-13b" with my dataset for my task.',
)






DYNAMICALLY SERVE MANY FINE-TUNED LLMS IN ONE DEPLOYMENT

Our scalable serving infra automatically scales up and down to meet the demands
of your production environment. Dynamically serve many fine-tuned LLMs together
for over 100x cost reduction versus dedicated deployments with our novel LoRA
Exchange (LoRAX) architecture. Load and query them in seconds.

Read more about LoRAX.

# Prompt your fine-tuned adapter instantly
client.generate(
        "Write an algorithm in Java to reverse the words in a string.",
        adapter_id="my_adapter/3", 
)




By switching from OpenAI to Predibase we’ve been able to fine-tune and serve
many specialized open-source models in real-time, saving us over $1 million
annually, while creating engaging experiences for our audiences. Best of all we
own the models.

Andres Restrepo, Founder and CEO, Enric.ai


BUILT ON PROVEN OPEN-SOURCE TECHNOLOGY


LORAX

LoRAX (LoRA eXchange) enables users to serve thousands of fine-tuned LLMs on a
single GPU, dramatically reducing the cost of serving without compromising on
throughput or latency.




LUDWIG

Ludwig is a declarative framework to develop, train, fine-tune, and deploy
state-of-the-art deep learning and large language models. Ludwig puts AI in the
hands of all engineers without requiring low-level code.





USE CASES

Predibase lets you fine-tune any open-source LLM for your task-specific use
case.


CLASSIFICATION

Automate the labor-intensive process of manually categorizing documents,
content, messages, and more.


INFORMATION EXTRACTION

Extract structured information from unstructured text for downstream tasks.


CUSTOMER SENTIMENT

Use an LLM to understand how your customers feel about your products or
services.


CUSTOMER SUPPORT

Automatically classify support issues, generate a customer response, and save
your organization time and money.


CODE GENERATION

Automate code generation with an LLM to significantly reduce the burden of tasks
like code completion or docstring generation.


NAMED ENTITY RECOGNITION

Identify predefined categories of objects in a body of text for inline term
definitions or enhancing question and answering systems.


MANY MORE

Predibase can support your LLM use case, no matter how complex. Contact us to
learn more about how we can help you with AI today.




READY TO EFFICIENTLY FINE-TUNE AND SERVE YOUR OWN LLM?

Try Predibase for Free
 * Platform
 * Pricing
 * Blog
 * Try Predibase
 * Sign In
 * Request Demo
 * Contact Us
 * Privacy Policy

All Rights Reserved. Predibase 2024

 * Twitter
 * LinkedIn
 * Github