Applications of Meta’s Llama 2 Chat 13B on Amazon Bedrock

Meta’s Llama 2 Chat 13B Model Features

Amazon are pleased to announce that Meta’s large language model (LLM), Llama 2 Chat 13B, is now available on Amazon Bedrock. With this launch, Llama 2, Meta’s next-generation LLM, now has a fully managed API available for the first time through Amazon Bedrock, a public cloud service. All sizes of companies can now use Amazon Bedrock to access Llama 2 Chat models without having to worry about maintaining the underlying infrastructure. It’s a significant improvement in accessibility.

A fully managed service, Amazon Bedrock provides a wide range of capabilities to build generative AI applications, simplifying the process while preserving privacy and security. The service offers a selection of high-performing foundation models (FMs) from top AI companies, such as AI21 Labs, Anthropic, Cohere, Stability AI, Amazon, and now Meta.

The Llama 2 family of LLMs is made accessible to the public by Meta. Pre-training 2 trillion tokens from public internet data sources was done on the Llama 2 basic model. Meta claims that Llama 2 13B needed 184,320 GPUs per hour to train. Ignoring bissextile years, that is the equivalent of 21.04 years of a single GPU.

The Llama 2 Chat model, which is based on the base model, is tailored for dialog use cases. Reinforcement learning from human feedback, or RLHF, is the technique used to fine-tune it with over a million human annotations. Meta has tested it to find performance gaps and reduce potentially problematic responses, like offensive or inappropriate ones, in chat use cases.

Meta provided a number of resources for all Llama 2 users, including individuals, creators, developers, researchers, academics, and businesses of all sizes, in order to foster a responsible and cooperative AI innovation environment. We particularly enjoy the Meta Responsible Use Guide, which is a resource for developers that offers guidelines and best practices for developing LLM-powered products in an ethical manner. It covers a range of development stages, from conception to deployment. This guide is a good fit for the collection of AWS resources and tools for ethical AI development.

The LLama 2 Chat model may now be integrated into applications written in any programming language by utilizing the AWS SDKs, AWS Command Line Interface (AWS CLI), or the Amazon Bedrock API.

Accessibility

In the US East (North Virginia) and US West (Oregon) AWS Regions, where Bedrock is available, the Llama 2 Chat model is currently accessible to all AWS users.

There is a fee associated with model inference. With no up-front or ongoing costs, you may opt to be billed as you go; AWS charges for each input and output token that is handled. Alternatively, you can provide enough throughput to satisfy the performance needs of your application in return for a time-based term commitment. Bedrock’s price page contains the information.

Now that you have this knowledge, you can use Llama 2 Chat and Amazon Bedrock in your applications.