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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Start developing in the cloud and deploying on your own server using retrieval-augmented generation, agents, and more. We offer a straightforward pricing model with a fixed fee for each request. Requests can be categorized into two main types: document indexation and generation. Document indexation involves incorporating a document into your knowledge base, while generation utilizes that knowledge base to produce LLM-generated content through RAG. You can establish a RAG workflow by implementing pre-existing components and crafting a prototype tailored to your specific needs. Additionally, we provide various supporting features, such as the ability to trace outputs back to their original documents and support for multiple file formats during ingestion. By utilizing Agents, you can empower the LLM to access additional tools. An Agent-based architecture can determine the necessary data and conduct searches accordingly. Our agent implementation simplifies the hosting of execution layers and offers pre-built agents suited for numerous applications, making your development process even more efficient. With these resources at your disposal, you can create a robust system that meets your demands.

Description

Introducing an open-source AI model that can be fine-tuned, distilled, and deployed across various platforms. Our newest instruction-tuned model comes in three sizes: 8B, 70B, and 405B, giving you options to suit different needs. With our open ecosystem, you can expedite your development process using a diverse array of tailored product offerings designed to meet your specific requirements. You have the flexibility to select between real-time inference and batch inference services according to your project's demands. Additionally, you can download model weights to enhance cost efficiency per token while fine-tuning for your application. Improve performance further by utilizing synthetic data and seamlessly deploy your solutions on-premises or in the cloud. Take advantage of Llama system components and expand the model's capabilities through zero-shot tool usage and retrieval-augmented generation (RAG) to foster agentic behaviors. By utilizing 405B high-quality data, you can refine specialized models tailored to distinct use cases, ensuring optimal functionality for your applications. Ultimately, this empowers developers to create innovative solutions that are both efficient and effective.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

1min.AI No 
AnyAPI No 
Continue No 
Double No 
Entry Point AI No 
Featherless No 
Fleak No 
Gmail Yes 
Google Cloud Platform Yes 
HumanLayer No 
Kiin No 
OpenAI Yes 
Oxlo.ai No 
Phala No 
Requesty No 
Runpod No 
SurePath AI No 
Waveloom No 
You.com No 

Integrations

1min.AI Yes 
AnyAPI Yes 
Continue Yes 
Double Yes 
Entry Point AI Yes 
Featherless Yes 
Fleak Yes 
Gmail No 
Google Cloud Platform No 
HumanLayer Yes 
Kiin Yes 
OpenAI No 
Oxlo.ai Yes 
Phala Yes 
Requesty Yes 
Runpod Yes 
SurePath AI Yes 
Waveloom Yes 
You.com Yes 

Pricing Details

2¢ per generation request
Free Trial No 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Byne

Country

United Kingdom

Website

www.bynedocs.com

Vendor Details

Company Name

Meta

Founded

2004

Country

United States

Website

llama.meta.com

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