# Predibase ## Docs - [Roles & Permissions](https://docs.predibase.com/admin/rbac.md): Learn About User Roles and Access Control in Predibase - [AWS Provisioning](https://docs.predibase.com/admin/vpc/aws.md): Learn How to Provision Predibase in Your AWS Environment - [Azure Provisioning](https://docs.predibase.com/admin/vpc/azure.md): Learn How to Provision Predibase in Your Azure Environment - [Deprovisioning](https://docs.predibase.com/admin/vpc/deprovisioning.md): Learn How to Deprovision Your Predibase VPC Environment - [Overview](https://docs.predibase.com/admin/vpc/overview.md): Learn about Predibase VPC deployments, architecture, and deployment options - [Privacy](https://docs.predibase.com/admin/vpc/privacy.md): Learn About Data Privacy and Security in VPC Deployments - [Classify](https://docs.predibase.com/api-reference/inference-api/classify.md): Batch classification for one or more inputs. - [Create Chat Completion](https://docs.predibase.com/api-reference/inference-api/create-chat-completion.md): OpenAI Chat Completions v1 compatible endpoint - [Create Completion](https://docs.predibase.com/api-reference/inference-api/create-completion.md): OpenAI Completions v1 compatible endpoint - [Generate](https://docs.predibase.com/api-reference/inference-api/generate.md): Generate tokens and wait for completion - [Generate Stream](https://docs.predibase.com/api-reference/inference-api/generate-stream.md): Generate a stream of tokens using Server-Sent Events - [Health Check](https://docs.predibase.com/api-reference/inference-api/health-check.md): Health check method - [Info](https://docs.predibase.com/api-reference/inference-api/info.md): Inference endpoint info - [Metrics](https://docs.predibase.com/api-reference/inference-api/metrics.md): Prometheus metrics scrape endpoint - [GRPO for Countdown](https://docs.predibase.com/examples/grpo.md): Fine-tune a model to play Countdown using reinforcement learning - [LoRA Land for Customer Support](https://docs.predibase.com/examples/lora-land-customer-support.md): Learn how to fine-tune Mistral-7B for specialized customer support tasks - [Retrieval-Augmented Generation](https://docs.predibase.com/examples/rag.md): Build an end-to-end RAG system with Predibase and LlamaIndex - [Recommender System → LLM Generation](https://docs.predibase.com/examples/recsys-generation.md): Learn how to combine a recommender system with LLM generation for personalized outreach - [Toxic Comment Classifier](https://docs.predibase.com/examples/text-classification.md): Use LLMs for text classification tasks - [Adapters](https://docs.predibase.com/fine-tuning/adapters.md): Parameter efficient fine-tuning with adapters - [Datasets](https://docs.predibase.com/fine-tuning/datasets.md): Preparing and uploading datasets for fine-tuning - [Distributed Training](https://docs.predibase.com/fine-tuning/distributed-training.md): Fine-tuning with very large datasets in Predibase - [Evaluation](https://docs.predibase.com/fine-tuning/evaluation.md): Evaluating the performance of your fine-tuned adapters - [Hyperparameter Tuning](https://docs.predibase.com/fine-tuning/hyperparameters.md): Understanding and configuring hyperparameters for fine-tuning - [Supported Models](https://docs.predibase.com/fine-tuning/models.md): Models available for fine-tuning in Predibase - [Overview](https://docs.predibase.com/fine-tuning/overview.md): How fine-tuning works in Predibase - [Synthetic Data Generation](https://docs.predibase.com/fine-tuning/synthetic.md): Generate high-quality training data from just a few examples - [Classification](https://docs.predibase.com/fine-tuning/tasks/classification.md): Fine-tune models for sequence classification - [Continued Training](https://docs.predibase.com/fine-tuning/tasks/continued.md): Continue training from existing fine-tuned adapters - [Function Calling](https://docs.predibase.com/fine-tuning/tasks/function-calling.md): Fine-tune models with function calling capabilities - [Reinforcement Fine-Tuning](https://docs.predibase.com/fine-tuning/tasks/reinforcement.md): Fine-tune models using Group Relative Policy Optimization (GRPO) - [Fine-Tuning Tasks](https://docs.predibase.com/fine-tuning/tasks/tasks.md): Different types of tasks supported for fine-tuning - [Vision Language Models](https://docs.predibase.com/fine-tuning/tasks/vision-language-fine-tuning.md): Learn how to fine-tune Vision Language Models (VLMs) to process both images and text - [Introduction](https://docs.predibase.com/getting-started/introduction.md): Learn about Predibase and how to get started - [Quickstart](https://docs.predibase.com/getting-started/quickstart.md): Get started with Predibase in minutes - [Dataset Preparation](https://docs.predibase.com/guides/fine-tuning/datasets.md): Guidelines and best practices for preparing data and fine-tuning models - [Hyperparameter Tuning](https://docs.predibase.com/guides/fine-tuning/hyperparameter-best-practices.md): Learn how to effectively tune hyperparameters for optimal model performance - [Overview](https://docs.predibase.com/guides/fine-tuning/overview.md): Introduction to Fine-Tuning in Predibase - [Reinforcement Learning](https://docs.predibase.com/guides/fine-tuning/reinforcement.md): Guide to reinforcement learning with GRPO - [Synthetic Data](https://docs.predibase.com/guides/fine-tuning/synthetic-data-best-practices.md): Guidelines and best practices for generating and using synthetic data effectively - [Adapters](https://docs.predibase.com/guides/fine-tuning/understanding-adapters.md): Deep dive into parameter efficient fine-tuning with adapters - [Batch Inference](https://docs.predibase.com/inference/batch.md): Process inference requests in bulk at a lower cost - [Private Deployments](https://docs.predibase.com/inference/deployments/private.md): Deploy models in your own environment - [Shared Deployments](https://docs.predibase.com/inference/deployments/shared.md): Use Predibase's shared model deployments - [Fine-tuned Adapters](https://docs.predibase.com/inference/fine-tuned.md): Learn how to use custom fine-tuned adapters with Predibase models - [Embedding Models](https://docs.predibase.com/inference/models/embeddings.md): Explore our catalog of supported embedding models for text embeddings and similarity search - [Language Models](https://docs.predibase.com/inference/models/language-models.md): Available language models and their capabilities - [Vision Models](https://docs.predibase.com/inference/models/vision-models.md): Guide to using vision language models for image understanding tasks - [Overview](https://docs.predibase.com/inference/overview.md): Introduction to inference with Predibase - [Classification](https://docs.predibase.com/inference/querying-models/classification.md): Learn how to query classification models trained with Predibase - [Text Generation](https://docs.predibase.com/inference/querying-models/text-generation.md): Learn how to query models using the Python SDK or REST API - [Comet](https://docs.predibase.com/integrations/comet.md): Integrate Predibase with Comet - [LangChain](https://docs.predibase.com/integrations/langchain.md): Integrate Predibase with LangChain - [LiteLLM](https://docs.predibase.com/integrations/litellm.md): Integrate Predibase with LiteLLM - [PortKey.AI](https://docs.predibase.com/integrations/portkey.md): Integrate Predibase with PortKey.AI - [Weights & Biases](https://docs.predibase.com/integrations/wandb.md): Integrate Predibase with Weights & Biases - [Changelog](https://docs.predibase.com/resources/changelog.md) - [Frequently Asked Questions](https://docs.predibase.com/resources/faq.md): Common Questions About Using Predibase - [Usage and Billing](https://docs.predibase.com/resources/usage-billing.md): Learn About Trial Credits, Usage Monitoring, and Billing Management - [Adapters](https://docs.predibase.com/sdk-reference/adapters.md): SDK operations for managing and fine-tuning adapters - [AugmentationConfig](https://docs.predibase.com/sdk-reference/configuration/augmentation-config.md): Configuration options for augmentation - [ClassificationConfig](https://docs.predibase.com/sdk-reference/configuration/classification-config.md): Configuration options for classification fine-tuning - [ClassificationDeploymentConfig](https://docs.predibase.com/sdk-reference/configuration/classification-deployment-config.md): Deployment configuration for classification models - [ContinuedPretrainingConfig](https://docs.predibase.com/sdk-reference/configuration/continued-pretraining-config.md): Configuration options for continued pretraining - [DeploymentConfig](https://docs.predibase.com/sdk-reference/configuration/deployment-config.md): Configuration options for model deployments - [GRPOConfig](https://docs.predibase.com/sdk-reference/configuration/grpo-config.md): Configuration options for GRPO reinforcement learning - [SFTConfig](https://docs.predibase.com/sdk-reference/configuration/sft-config.md): Configuration options for supervised fine-tuning - [UpdateDeploymentConfig](https://docs.predibase.com/sdk-reference/configuration/updatedeployment-config.md): Configuration options for model deployments - [Datasets](https://docs.predibase.com/sdk-reference/datasets.md): SDK operations for managing datasets for fine-tuning - [Deployments](https://docs.predibase.com/sdk-reference/deployments.md): SDK operations for managing model deployments - [Installation](https://docs.predibase.com/sdk-reference/installation.md): How to install and set up the Predibase Python SDK - [Querying Models](https://docs.predibase.com/sdk-reference/queryingmodels.md): SDK operations for prompting your deployed models - [Repositories](https://docs.predibase.com/sdk-reference/repos.md): SDK operations for managing adapter repositories ## OpenAPI Specs - [lorax_openapi](https://docs.predibase.com/api-reference/lorax_openapi.json)