Use GPT-trainer with Llamaindex Python

Ai-apps

GPT-Trainer is a tool that allows users to fine-tune and train GPT language models on custom datasets. It provides an easy-to-use interface for tasks like text generation, summarization, and classification.

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🔗 Connect and Use GPT-trainer

1. 🔑 Connect your GPT-trainer acco

2. ✅ Select an action

3. 🚀 Go live with the agent

What do you want to do?

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API actions for GPT-trainer for AI assitants/agents

Language

PYTHON

Framework

Create New Training Dataset

Generate a new dataset for training GPT models

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.CREATE_TRAINING_DATASET])

Fine Tune Model

Initiate fine-tuning process on a pre-trained GPT model

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.FINE_TUNE_MODEL])

Evaluate Model Performance

Run evaluation metrics on a trained GPT model

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.EVALUATE_MODEL])

Generate Text

Use a trained GPT model to generate text based on a prompt

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.GENERATE_TEXT])

Export Model

Export a trained GPT model for deployment

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.EXPORT_MODEL])

Import Pre Trained Model

Import a pre-trained GPT model for further training or use

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.IMPORT_MODEL])

Create Model Checkpoint

Save the current state of a model during training

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.CREATE_CHECKPOINT])

Resume Training From Checkpoint

Continue training a model from a saved checkpoint

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.RESUME_TRAINING])

Analyze Training Progress

Generate reports on the progress of model training

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.ANALYZE_TRAINING])

Adjust Hyperparameters

Modify hyperparameters for model training

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.ADJUST_HYPERPARAMETERS])

Compare Model Versions

Compare performance metrics between different versions of a model

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.COMPARE_MODELS])

Generate Training Report

Create a comprehensive report on model training and performance

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.GENERATE_REPORT])

Clean Training Data

Preprocess and clean the training dataset

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.CLEAN_DATA])

Augment Training Data

Expand the training dataset using data augmentation techniques

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.AUGMENT_DATA])

Visualize Model Architecture

Generate a visual representation of the model's architecture

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.VISUALIZE_ARCHITECTURE])

Training Completed

Fired when a model training session is completed

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.TRAINING_COMPLETED])

Evaluation Milestone Reached

Triggered when the model reaches a specified performance milestone

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.EVALUATION_MILESTONE])

Dataset Update Available

Fired when new data is available for training

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.DATASET_UPDATE])

Model Overfitting Detected

Triggered when signs of model overfitting are detected

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.OVERFITTING_DETECTED])

Training Error Occurred

Fired when an error occurs during the training process

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.TRAINING_ERROR])

Low GPU Memory Warning

Triggered when GPU memory is running low during training

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.LOW_GPU_MEMORY])

New Model Version Available

Fired when a new version of a pre-trained model is available

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.NEW_MODEL_VERSION])

Training Time Threshold Exceeded

Triggered when training time exceeds a specified threshold

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.TRAINING_TIME_EXCEEDED])

Checkpoint Created

Fired when a new checkpoint is created during training

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.CHECKPOINT_CREATED])

Data Drift Detected

Triggered when significant drift is detected in input data

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.DATA_DRIFT_DETECTED])

Performance Regression Detected

Fired when model performance decreases compared to previous versions

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.PERFORMANCE_REGRESSION])

Training Resource Allocation Changed

Triggered when there's a change in allocated computing resources

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.RESOURCE_ALLOCATION_CHANGED])

Model Deployment Ready

Fired when a trained model is ready for deployment

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.MODEL_DEPLOYMENT_READY])

Training Queue Status Update

Triggered when there's an update to the training job queue status

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.QUEUE_STATUS_UPDATE])

New Training Algorithm Available

Fired when a new training algorithm or technique becomes available

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.NEW_ALGORITHM_AVAILABLE])

Frequently asked questions

What is Composio.dev?

Composio.dev is a cutting-edge framework for building AI applications, designed to make the process of developing AI solutions super easy and fun! It's a collection of powerful tools and libraries that simplify the process of creating AI applications, allowing you to focus on the creative aspects of your project without getting bogged down by the technical details.

How does Composio.dev support GPT-trainer?

Composio.dev seamlessly integrates with GPT-trainer, making it a breeze to leverage its capabilities within the Composio.dev platform. You can use GPT-trainer to call functions on various platforms like Google, GitHub, and others, allowing you to incorporate different services into your AI applications with ease. It also supports user login via OAuth2 and can work with other popular frameworks such as LangChain and CrewAI, giving you the flexibility to build truly innovative AI solutions.

What models can I use with GPT-trainer and llamaindex_python?

When using GPT-trainer and llamaindex_python, you have access to a wide range of state-of-the-art language models, including GPT-4o (OpenAI), GPT-3.5 (OpenAI), GPT-4 (OpenAI), Claude (Anthropic), PaLM (Google), LLaMA and LLaMA 2 (Meta), Gemini, and many others. This flexibility allows you to choose the model that best suits your specific use case, whether you're building a chatbot, a content creation tool, or any other AI-powered application. You can experiment with different models and find the one that delivers the best performance for your project.

How can I integrate GPT-trainer with llamaindex_python?

Integrating GPT-trainer with llamaindex_python is super easy with Composio.dev! You can use the Composio.dev API to call functions from both GPT-trainer and llamaindex_python, allowing you to tap into their capabilities with just a few lines of code. The SDK is available in Python, JavaScript, and TypeScript, so you can work with the language you're most comfortable with and integrate these powerful tools into your projects seamlessly.

What is the pricing for GPT-trainer and llamaindex_python?

Both GPT-trainer and llamaindex_python are completely free to use, with a generous free tier that allows up to 1000 requests per month. This makes them accessible for developers and organizations of all sizes, whether you're a student working on a personal project or a startup building the next big thing. You can get started with these powerful tools without worrying about breaking the bank.

What kind of authentication is supported for GPT-trainer and llamaindex_python?

GPT-trainer and llamaindex_python support OAuth2 authentication, ensuring secure and authorized access to their functionalities. You can use the Composio.dev API to handle authentication and call functions from both GPT-trainer and llamaindex_python seamlessly. The SDK is available in Python, JavaScript, and TypeScript for your convenience, making it easy to integrate authentication into your projects and keep your users' data safe and secure.

Can I add GPT-trainer to my project?

Absolutely! You can easily incorporate GPT-trainer into your project by utilizing the Composio.dev API. This API allows you to call functions from both GPT-trainer and llamaindex_python, enabling you to leverage their capabilities within your application. The SDK is available in Python, JavaScript, and TypeScript to facilitate integration, so you can work with the language you're most comfortable with and add these powerful tools to your project with ease.

What is the accuracy of GPT-trainer and llamaindex_python?

GPT-trainer and llamaindex_python are designed to provide highly accurate and reliable results, ensuring that your AI applications perform at their best. The integration with Composio.dev ensures precise function calls, enabling you to build robust and powerful AI applications with confidence. The comprehensive framework and the ability to leverage state-of-the-art models ensure reliable and accurate outcomes for your AI development needs, whether you're working on a chatbot, a content creation tool, or any other AI-powered project.

What are some common use cases for GPT-trainer and llamaindex_python?

GPT-trainer and llamaindex_python can be used for a wide range of AI applications, making them versatile tools for developers and creators alike. Some common use cases include natural language processing, text generation, question answering, sentiment analysis, and more. They're particularly useful for building chatbots, virtual assistants, content creation tools, and other AI-powered applications that can help you automate tasks, engage with users, and create compelling content. Whether you're working on a personal project or building a product for your startup, these tools can help you bring your ideas to life.

How does GPT-trainer handle data privacy and security?

Data privacy and security are crucial considerations when working with AI systems, and GPT-trainer takes these issues seriously. It follows industry best practices and adheres to strict data protection regulations, ensuring that your data is kept safe and secure. GPT-trainer provides robust security measures, such as encryption and access controls, to ensure the confidentiality and integrity of your data. You can rest assured that your sensitive information is protected when using GPT-trainer for your AI development needs.

Can I customize GPT-trainer and llamaindex_python for my specific needs?

Absolutely! GPT-trainer and llamaindex_python are highly customizable and extensible, allowing you to tailor their functionality, models, and configurations to meet your specific requirements. Whether you're building a chatbot, a content creation tool, or any other AI-powered application, you can customize these tools to fit your unique needs. Additionally, Composio.dev provides a flexible platform for integrating and orchestrating various AI tools and services, enabling you to create custom AI solutions that are tailored to your project.

What kind of support and documentation is available for GPT-trainer and llamaindex_python?

GPT-trainer and llamaindex_python have comprehensive documentation and a supportive community, making it easy for you to get started and find answers to your questions. Composio.dev also provides extensive resources, including tutorials, guides, and a dedicated support team to assist you throughout your AI development journey. Whether you're a beginner or an experienced developer, you'll have access to the resources you need to make the most of these powerful tools.