AI Nexus

Best practice software development processes for LLM integration

Typical Tooling for Software Development
Package Managers
Source Versioning
Unit testing

AI Nexus LLM Tooling
Abstraction from underlying providers' calls
Prompt management and versioning
Automated regex, vectorised and AI prompting powered tests

Typical Tooling for Software Development
Manual and Automated QA tooling
Minification and content optimization
CI/CD pipelines

AI Nexus LLM Tooling
Output annotation tools for human validation
AI assisted prompt generation and minification
Publication workflow, test runs and double approval for publication to production

Typical Tooling for Software Development
Load balancing, security and throttling
Uptime Monitoring and alerting
Platform Analytics and BI

AI Nexus Equivalent LLM Tooling
Retry, throttling, fallback to alternate providers
Alert on API performance, and operate content guardrails
End consumer feedback and reporting on tokens and costs

How it Works

Safely manage your entire LLM development life cycle

Simple tooling that can be used by anyone

Optimise prompt performance and costs

Manage scalable QA and testing

Securely deploy changes with team workflow

Ensure uptime and accuracy of responses

Stop wasting time, start scaling your AI efforts with AI Nexus.

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