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LLaMa 2 Meta AI 70B: OpenAI API Compatible AMI

LLaMa 2 Meta AI 70B: OpenAI API Compatible AMI

By: Meetrix.io Latest Version: 1.0.1
Linux/Unix
Linux/Unix

Product Overview

The "Llama 2 AMI 70B": The most simple way to step into the forefront of large language models (LLMs) mastery with unprecedented depth and precision. This Amazon Machine Image is is pre-configured and easily deployable and fortified by an unparalleled 70 billion parameters.

We offer unparalleled support to our subscribers. You can find a product video and a developer guide with examples under 'Additional Resources' below.

Advantages of the Llama 2 70B AMI:

Instant Deployment: Say goodbye to the challenges of setting up. Our AMI version offers a ready-to-launch experience, eliminating the complexities associated with raw models.

Unrivaled Pretrained Depth: With a staggering 70 billion parameters at its core, this AMI is poised to deliver outputs with unmatched depth, accuracy, and richness.

OpenAI API Integration: Seamless connectivity to the OpenAI echosystem, thanks to the in-built robust API integration, ensuring adaptability in diverse scenarios.

Cost Efficiency: With our Pay-per-hour pricing model you will only be charged for the time you actually use the product.

Proven Reliability: Benefit from our extensively tested and trusted solution.

User-Centric Data Control: You're in charge with complete control over your data.

Chat Excellence Reimagined: Witness the zenith of dialogue capabilities with the "Llama-2-Chat" models integrated within, achieving dialogue benchmarks that redefine industry standards. Their performance, especially in safety and helpfulness, is not just on par, but often surpasses stalwarts like ChatGPT and PaLM.

Textual Mastery: Ingrained with a text-centric design, models within this AMI are tailored for sublime text inputs and outputs, championing top-tier text generation tasks.
Central to its prowess, the Llama 2 70B AMI is anchored in an optimized transformer framework. Seamlessly intertwined with supervised fine-tuning (SFT) and reinforcement learning buoyed by human feedback (RLHF), it stands as the epitome of user-centric design and functionality.

Version

1.0.1

Operating System

Linux/Unix, Ubuntu 22.04

Delivery Methods

  • CloudFormation Template

Pricing Information

Usage Information

Support Information

Customer Reviews