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MotherDuck and Numbers Station released DuckDB-NSQL-7B, a 7-billion-parameter language model fine-tuned to convert natural language questions into DuckDB SQL queries. The model was built on Meta's Llama-2-7b and further trained on DuckDB text-to-SQL pairs, enabling it to generate not just SELECT statements but any valid DuckDB SQL command. Users can now query datasets from Hugging Face's 120,000+ open datasets by describing their information needs in plain language, with the model translating requests into executable SQL without requiring SQL expertise.
Hugging Face partnered with cloud security firm Wiz to identify and fix vulnerabilities on its platform, including flaws in sandboxed compute environments that allowed arbitrary code execution through pickle files. Wiz integrated vulnerability management and cloud security posture monitoring across Hugging Face's multiple Kubernetes clusters and multi-region infrastructure. The partnership led Hugging Face to maintain support for pickle files while implementing automated scanning, security warnings, and promoting Safetensors as a secure alternative rather than imposing a complete ban.
OpenAI added new features to its fine-tuning API that give developers more control over model customization. The company expanded its custom models program to enable additional ways for developers to build tailored versions. These changes allow developers to create more specialized models for their specific use cases without building from scratch.
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