cohere

Introducing Cohere's Command-Xlarge-Beta: A Next-Generation Language Model

Tal Peretz

Sep 11, 2024 — 1 min read

Cohere is proud to unveil the Command-Xlarge-Beta, a cutting-edge addition to our suite of generative language models. This model is designed to excel at tasks requiring precise adherence to user instructions.

Model Overview

The Command-Xlarge-Beta is fine-tuned from the Cohere xlarge model, which boasts an impressive 52.4 billion parameters. This robust foundation ensures high-quality and reliable performance, particularly when responding to instruction-based prompts.

Specifications

Introduction and Purpose: Launched as a beta version, it aims to enhance the handling of user commands.
Model Parameters: Built on 52.4 billion parameters for superior language task execution.
Token Limits: Capable of processing up to 4,096 tokens per request.

Usage and Access

To utilize this model, specify command-xlarge-beta or command-xlarge-nightly in your API calls. Note that the nightly version is experimental and not recommended for production use.

Performance Capabilities

The Command-Xlarge-Beta is continually evolving. It is adept at complex tasks such as code generation, retrieval augmented generation (RAG), and tool use, positioning it as a versatile choice for developers.

Availability and Updates

While older models have been deprecated as of December 2, 2022, the Command-Xlarge-Beta remains a fresh and powerful option. For the latest updates and detailed information, always refer to Cohere's official documentation.

Unleashing Creativity with Stability.SD3-Large-V1:0 on Amazon Bedrock

The advent of Stability.SD3-Large-V1:0, a revolutionary text-to-image model, marks a significant milestone in the realm of generative AI. Integrated into Amazon Bedrock, this model is designed to transform how digital assets are created, offering unparalleled performance and quality in image generation. Model Architecture and Performance At the heart

Unlocking the Potential of Bedrock/Meta-Textgeneration-Llama-2-7B with AWS SageMaker

The Bedrock/Meta-Textgeneration-Llama-2-7B is a cutting-edge Large Language Model (LLM) developed by Meta as part of the Llama 2 series. This series ranges from 7 billion to 70 billion parameters, with the 7B model offering a balance of size and capability. Its development involved Supervised Fine-Tuning (SFT) and Reinforcement Learning

Exploring Azure AI's Phi-3-Medium-128K-Instruct: A Revolutionary LLM

Azure AI's Phi-3-Medium-128K-Instruct is a breakthrough in the field of language models, bringing forth a dense decoder-only Transformer model with 14 billion parameters. This model, part of Microsoft's Phi-3 family, stands out for its impressive performance across a wide range of benchmarks, making it a go-to

Unlocking the Potential of Azure AI's Phi-3.5-MoE-Instruct: A New Era in Artificial Intelligence

The Azure AI Phi-3.5-MoE-Instruct model, a groundbreaking addition to Microsoft's Phi-3.5 series, is revolutionizing the landscape of artificial intelligence with its innovative architecture and impressive capabilities. Model Architecture At the heart of the Phi-3.5-MoE-Instruct is the Mixture-of-Experts (MoE) model architecture, which includes 16 experts, each