The AI LLM Assessment: An Evaluation Of Generative AI Large Language Models

The AI LLM Assessment: An Evaluation of Generative AI Large Language Models

Large Language Models (LLMs) have revolutionized the field of Artificial Intelligence (AI), driving remarkable achievements across diverse language-related tasks. However, the market is flooded with LLMs, ranging from proprietary off-the-shelf to open-source options. What’s missing is a single, consolidated source of detailed information on these models and a fair and practical framework to assess them.

To address this challenge, we have assessed the most popular LLMs available today so organizations can identify the best one for their needs. For this assessment, we have analyzed 13 popular proprietary and open-source LLMs to help enterprises and service providers across all industries and geographies compare and assess key LLM providers’ offerings.

AI LLM Assessment - An Evaluation of Generative AI Large Language Models

Our assessment framework evaluates LLMs and rates them according to their ease of adoption and capabilities.

AI LLM Assessment - A Comparison of Large Language Models Across Assessment Dimensions

Capability
Measures the basic ability of an LLM to generate effective outputs; measured through four subdimensions.

Features
Distinctive attributes, such as number of parameters and tokens trained on, languages and modalities supported
Scalability
Effort required to scale an LLM for more users
Quality of output
The quality of content generated, including context understanding and reasoning abilities
Market perception
Perception of an LLM and its usefulness in the market

Ease of adoption
This variable valuates the factors that are crucial for enterprise adoption of an LLM through three subdimensions.

Risks
Susceptibility to common gen AI risks such as data privacy and security, reliability, explainability, biases, and ownership
Average cost of usage
Cost incurred by the user to use the LLM model
Market readiness
Overall community developed for the LLM to aid users of the mode, including documentation, marketplace, and model availability in multiple modes

Note:

This assessment is applicable as of August 2023
Since Gen AI is a fast-evolving space, we expect quick changes in terms of availability, capabilities, and positions of LLMs on this matrix. Therefore, we plan to publish periodic updates to this assessment

Please reach out to our analyst team for further discussion on Generative AI: Anil Vijayan [email protected]; Nitish Mittal [email protected]; Vaibhav Bansal [email protected]; Vishal Gupta [email protected]; Priya Bhalla [email protected]; or Anish Nath [email protected].