What types of models does Together AI host?

Together AI hosts a wide range of popular open-source LLMs and generative AI models, including families like Llama, Mixtral, Stable Diffusion, and more.

How does Together AI ensure fast inference?

They utilize a highly optimized inference engine and specialized hardware to achieve high throughput and low latency for model responses.

Can I fine-tune models with my own data?

Yes, the platform offers comprehensive tools and APIs for fine-tuning supported base models using your custom datasets.

Is there a free tier or free credits?

Yes, new users typically receive a generous amount of free credits to facilitate initial experimentation and development.

What are the main use cases for Together AI?

Its main use cases include powering advanced chatbots, generating diverse content, assisting with code completion, and creating image generation applications.

Together AI

Together AI offers a cloud platform for running, fine-tuning, and deploying open-source AI models efficiently, focusing on speed and cost-effectiveness.

Price: Freemium

Categories:AI Chatbots AI Coding Assistants AI Content Generators AI Developer Tools AI Image Generators

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Description

Together AI provides a developer-centric cloud platform that democratizes access to powerful open-source large language models (LLMs) and generative AI. It allows users to run inference on a wide array of pre-trained models, fine-tune these models with custom data, and deploy them at scale with high performance and competitive pricing. Together AI distinguishes itself by offering a highly optimized inference stack, which translates to faster token generation and significantly lower costs compared to many proprietary API alternatives. It targets AI researchers, developers, and enterprises looking to leverage the latest open-source models for diverse applications, including chatbots, code generation, content creation, and more, all without the overhead of managing complex infrastructure.

How to Use

1.Sign up for a Together AI account and obtain your API key.

2.Browse the extensive catalog of available open-source models and understand their specific capabilities.

3.Use the Together AI API to send prompts and receive responses from your chosen models for inference.

4.For fine-tuning, upload your custom dataset and select a compatible base model from their catalog.

5.Initiate the fine-tuning process through the platform and monitor its progress and performance.

6.Deploy your fine-tuned model or utilize the standard inference API for immediate application in your projects.

Use Cases

Running inference on open-source large language modelsFine-tuning LLMs with custom datasets for specific tasksDeveloping AI-powered chatbots and conversational agentsGenerating code and assisting with code completionCreating diverse content and creative text applications

Pros & Cons

Pros

Provides access to a wide and growing range of powerful open-source AI models.
Offers highly optimized inference for superior speed and cost-efficiency.
Supports robust fine-tuning capabilities for customizing models with proprietary data.
Features a developer-friendly API for straightforward integration into applications.
Maintains competitive pricing for large-scale and production-level AI usage.

Cons

Requires some technical knowledge and familiarity with APIs to use effectively.
Reliance on open-source models means performance and capabilities can vary between models.
Fine-tuning processes can still be resource-intensive and incur notable costs.

Pricing

https://www.together.ai/pricing

FAQs