LLMOps
Manage prompt changes, model access, and cost with reproducible evaluation evidence and production context.
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What is LLMOps? From prototype to production
Understand development, evaluation, deployment, and feedback.
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Prompt versioning for production AI systems
Treat prompts as versioned artifacts with evaluation and rollback.
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What is an AI gateway?
Understand routing, resilience, policy, and model access.
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LLM cost monitoring: Measure cost per successful task
Relate model and tool costs to successful task outcomes.
Serve Qwen 3.6 on Polyaxon
Deploy Qwen3.6-27B and check context limits, memory use, and API responses.
Serve DeepSeek V4 on Polyaxon
Configure DeepSeek V4 Pro on B200 GPUs and evaluate reasoning and tool-call output.
How to evaluate LLM routers for cost, quality, and latency
Compare routing policies using task quality, latency, cost, and fallback behavior.
Fine-tune Mistral 7B with LoRA on Kubernetes
Connect LoRA training, GPU execution, evaluation, and versioned adapter packages.
Continuous AI red teaming in CI/CD
Turn reviewed security findings into versioned release checks.
How to evaluate LLM guardrails
Choose guardrails using both protection and legitimate application behavior.