together-ai

Together AI's New 4B LLM: A Leap Forward in Generative AI

Tal Peretz

Sep 26, 2024 — 1 min read

Together AI, a pioneering company in generative artificial intelligence, has recently launched a new language model with up to 4 billion parameters. This development reflects their unwavering commitment to advancing AI capabilities while delivering high performance and efficiency. Let’s delve into what this new LLM brings to the table and how it fits within Together AI's broader ecosystem.

Understanding Together AI's New 4B LLM

At the core of this new model is the ability to handle complex language tasks with remarkable accuracy and speed. With a pricing structure of $0.10 per million tokens for both input and output, it offers a cost-effective solution for businesses looking to leverage advanced AI without breaking the bank. The model is optimized for chat applications, making it ideal for customer support, virtual assistants, and other conversational AI use cases.

Key Features and Benefits

1. Enhanced Performance

The new 4B LLM benefits from Together AI's cutting-edge technologies, including:

Inference Engine 2.0: Delivers decoding throughput 4x faster than open-source alternatives, ensuring rapid responses.
FlashAttention-3 Kernels: Provide faster attention mechanisms for improved processing speed.
Speculative Decoding: Techniques like Medusa and SpecExec enhance the quality of generated content.

2. Flexible Deployment

Enterprises can deploy the model in virtual private cloud (VPC) environments, on-premises, or via the Together Cloud. This flexibility ensures that data privacy and security are maintained, meeting stringent compliance requirements.

3. Cost Efficiency

Optimized software and hardware utilization lead to 2-3 times faster inference and up to 50% lower operational costs, making it a financially viable option for businesses of all sizes.

Seamless Integration and Orchestration

Together AI’s platform supports the orchestration of multiple AI models within a single application, using a

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