What is Predibase?
Predibase is a developer-friendly platform designed to fine-tune and serve open-source large language models (LLMs) that can outperform GPT-4. Whether you're working in your own cloud or theirs, Predibase offers a seamless experience for customizing and deploying models tailored to your specific needs.
What are the features of Predibase?
- Fine-Tuning Excellence: State-of-the-art techniques like quantization and low-rank adaptation ensure efficient and effective model customization.
- Cost-Effective Serving: Unique infrastructure powered by Turbo LoRA and LoRAX allows for serving multiple fine-tuned models on a single GPU, reducing costs significantly.
- Your Cloud, Your Control: Securely customize and deploy models in your virtual private cloud, maintaining full control over your intellectual property.
- Instant Deployment: Deploy any open-source LLM, such as Llama-3 or Mistral, and start prompting within minutes.
What are the use cases of Predibase?
- Code Generation: Automate tasks like code completion and docstring generation.
- Customer Support: Classify support issues and generate responses to save time and money.
- Information Extraction: Pull structured data from unstructured text for downstream tasks.
- Customer Sentiment Analysis: Understand how customers feel about your products or services.
How to use Predibase?
- Deploy an LLM: Use the
pb.deployments.createfunction to set up your model. - Fine-Tune Your Model: Kick off a fine-tuning job with
pb.adapters.createto customize the model for your specific task. - Prompt the Model: Use the deployed model to generate responses or perform tasks with just a few lines of code.
