Predibase’s Turbo LoRA and LoRAX are redefining efficient fine-tuning and multi-adapter serving for large language models. By combining speculative decoding with shared GPU infrastructure, they aim to make AI customization faster, cheaper, and production-ready at scale.
TensorStax provides AI agents that automate data pipeline work: discovering sources, ingesting and transforming data, validating quality, and surfacing observability. Embedded in ETL workflows, these agents accelerate delivery, cut manual toil, and make pipelines production ready, trustworthy.
DSPy is an open-source framework that lets developers program large language models with structured, modular code instead of relying on prompts. It enables scalable, self-optimizing AI pipelines, offering reliability, flexibility, and faster iteration for complex AI workflows.
