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Everything on the platform tagged with fine-tuning.

Sebastian Raschka is a German-born AI/ML researcher, educator, and author who has built one of the most trusted independent voices in the machine learning community. Through his Substack newsletter 'Ahead of AI' (184,000+ subscribers), bestselling books like 'Build a Large Language Model (From Scratch)', and 91,000+ starred GitHub repositories, he demystifies cutting-edge AI for practitioners worldwide. After a stint as an Assistant Professor at UW-Madison and a role as Staff Research Engineer at Lightning AI, he now runs RAIR Lab as an independent researcher, writer, and consultant.
Fireworks AI is a generative AI inference platform founded in 2022 by seven engineers — five of whom built PyTorch at Meta — that gives enterprises fast, cost-efficient, and customizable access to hundreds of open-source models. The company's proprietary FireAttention kernels and speculative-execution engine deliver up to 40× faster inference and 8× cost reduction versus alternatives, while its fine-tuning and model-deployment tooling lets companies own their AI stack end-to-end. With $327M+ raised, a $4B valuation, 10,000+ customers including Samsung, Uber, Shopify, and Cursor, and a $315M annualized run-rate as of early 2026, Fireworks AI has become the go-to inference layer for production generative AI applications.

Predibase was a San Francisco-based AI infrastructure company (founded 2020, acquired by Rubrik in June 2025) that pioneered efficient LLM fine-tuning and serving at scale. Built by the creators of Uber AI's Ludwig and Horovod frameworks, Predibase made it easy for enterprises to fine-tune and deploy open-source LLMs using LoRA adapters — often outperforming GPT-4 on domain-specific tasks for under $8 of compute. Its open-source LoRAX inference server enabled serving thousands of fine-tuned models from a single GPU, dramatically cutting costs. After raising $28M from Greylock and Felicis, Predibase was acquired by cybersecurity firm Rubrik for over $100M to accelerate agentic AI adoption.
Scale AI is a San Francisco-based AI infrastructure company founded in 2016 by Alexandr Wang and Lucy Guo. It provides the data engine, evaluation tools, and AI deployment platforms that power the world's leading AI labs, Fortune 500 enterprises, and US government agencies. By combining a massive distributed workforce with proprietary tooling, Scale accelerates AI development through high-quality data labeling, RLHF, model evaluation, and agentic platforms — making it one of the most consequential picks-and-shovels companies in the modern AI boom, with a $29B valuation as of mid-2025.