Safety with AI

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Framework

Assessing LLMs with TEA

A novel approach to Governing Language Models

Evaluate Large Language Models by employing our three-step framework and select a foundational model that ensures safety and aligns with your specific needs.

Test

Choose the benchmarks that align with the specific needs of your product.

Evaluate

Explore the outcomes of LLM benchmarks and choose several to conduct a rigorous evaluation.

Assess

Take LLMs through harder benchmarks to stretch their limits and reveal their true capabilities and emerging patterns of behavior.

What you get with Semantichasm

Novel approaches to building safer and explainable AI Products.

Product

Develop a winning Go-to-Market Strategy and solid foundational requirements for your AIaaS Product.

Optimisation

Improve Training and inference by maximising Information and performance on state-of-the-art GPUs.

Governance

Evaluating models and AI systems for safety and explainability to aid in meeting ISO requirements.

BEE Powered AI.

Building

a context and explainability framework from data to realize the full scope of product capabilities.

Evaluating

the effectiveness of AI software and its performance running on GPU.

Extending

AI systems with the implementation of additional inference layers.

Robust and Safer AI Deployments.

Steps image
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;
Address

7 Bell Yard, London, England, WC2A 2JR

Email

Office: contact@semantichasm.com

Site: https://semantichasm.com

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