Why it matters: Meta released Llama 3 with 8B and 70B parameter models plus safety updates in April 2024.[1] Chaos users can now evaluate whether to run it on-prem or via managed endpoints.
TL;DR
- Test Llama 3 against your workloads and safety policies.
- Track evaluation results in the experiment review template.
- Update the data hygiene checklist for new hosting environments.
| Model | Deployment | Chaos action |
|---|---|---|
| Llama 3 8B | Edge / laptop | Prototype summaries, classify captures |
| Llama 3 70B | GPU cluster / managed API | Agentic workflows, complex planning |
What did Meta release?
Meta published Llama 3 weights, tokenizer, and safety guardrails under a permissive community license.[1]
How should Chaos teams evaluate Llama 3?
Run benchmarks against existing models, track accuracy, latency, and cost. Log results in the experiment review template and compare to existing agents.
How to integrate Llama 3 securely?
Update safety filters, data retention policies, and monitoring. The Open Source Initiative stresses responsible usage and disclosure for open models.[2]
Key takeaways
- Llama 3 offers high-quality models under an open license—evaluate quickly.
- Use Chaos to track experiments, risks, and approvals.
- Integrate responsibly with updated safety and hygiene policies.