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Learn how to use Lift to extract structured data from research PDFs, create controlled evaluation benchmarks, and build a queryable knowledge base from extracted information.
Datalab introduces lift, a 9B open-weight vision model that accurately extracts structured JSON from PDFs using schema-constrained decoding and abstention training, achieving 90.2% field accuracy.
Learn how to build AI pipelines that produce reliable, structured outputs using Outlines and Pydantic. Understand how type-safe and schema-constrained LLM pipelines work and why they matter for real-world AI applications.
