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OpenAI 2 years ago 12
OpenAI has enabled fine-tuning for GPT-3.5 Turbo, allowing developers to train the model on their own datasets. The fine-tuning feature costs $0.03 per 1,000 input tokens and $0.06 per 1,000 output tokens, with pricing lower than the base model. Developers can now create specialized versions of GPT-3.5 Turbo tailored to specific tasks rather than relying on the general-purpose model.
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8 August 2026
Mistral AI's release of Shieldstral 1.0 3B marks a practical inflection point in content moderation: safety classifiers are shedding their fixed rulebooks. The 3B model takes policies as plain-language prompts at inference time—meaning a single deployment can enforce different standards for different customers without retraining—while matching the performance of a 20B baseline on both text and multimodal content. It runs on a single 16GB GPU and ships under Apache 2.0, making it available for local deployment across vLLM and llama.cpp. For teams managing multiple content policies or operating across jurisdictions, this matters because moderation no longer requires separate model forks or constant retraining cycles.
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