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Description

LLaMA-Factory is an innovative open-source platform aimed at simplifying and improving the fine-tuning process for more than 100 Large Language Models (LLMs) and Vision-Language Models (VLMs). It accommodates a variety of fine-tuning methods such as Low-Rank Adaptation (LoRA), Quantized LoRA (QLoRA), and Prefix-Tuning, empowering users to personalize models with ease. The platform has shown remarkable performance enhancements; for example, its LoRA tuning achieves training speeds that are up to 3.7 times faster along with superior Rouge scores in advertising text generation tasks when compared to conventional techniques. Built with flexibility in mind, LLaMA-Factory's architecture supports an extensive array of model types and configurations. Users can seamlessly integrate their datasets and make use of the platform’s tools for optimized fine-tuning outcomes. Comprehensive documentation and a variety of examples are available to guide users through the fine-tuning process with confidence. Additionally, this platform encourages collaboration and sharing of techniques among the community, fostering an environment of continuous improvement and innovation.

Description

Experience the quickest route to tailored recommendations and search functionalities. Boost user engagement, conversion rates, and overall revenue with a versatile system that adjusts in real time to meet your needs. Our platform assists users in locating exactly what they desire by highlighting products or content that align most closely with their interests. We also prioritize your business goals, ensuring that every aspect of your platform or marketplace is optimized equitably. At its core, Shaped features a four-stage, real-time recommendation engine equipped with the necessary data and machine-learning infrastructure to analyze your data and effectively cater to your discovery requirements on a large scale. Integration with your current data sources is seamless and quick, allowing for the ingestion and re-ranking of information in real time based on user behavior. You can also enhance large language models and neural ranking systems to achieve cutting-edge performance. Furthermore, our platform enables you to create and experiment with various ranking and retrieval components tailored to any specific application. This flexibility and capability ensure that users receive the most relevant results for their inquiries.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AccessOwl
Amazon Kinesis
Amazon S3
DeepSeek
Gemma
Google Cloud BigQuery
Google Cloud Firestore
Llama
Llama 3
MLflow
Mistral AI
Mixpanel
Mixtral 8x7B
OpenAI
PaliGemma 2
Qwen
Snowflake
TensorBoard
TensorWave
Yi-Large

Integrations

AccessOwl
Amazon Kinesis
Amazon S3
DeepSeek
Gemma
Google Cloud BigQuery
Google Cloud Firestore
Llama
Llama 3
MLflow
Mistral AI
Mixpanel
Mixtral 8x7B
OpenAI
PaliGemma 2
Qwen
Snowflake
TensorBoard
TensorWave
Yi-Large

Pricing Details

Free
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

hoshi-hiyouga

Website

github.com/hiyouga/LLaMA-Factory

Vendor Details

Company Name

Shaped

Country

United States

Website

www.shaped.ai/

Product Features

Product Features

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