Cost-effective LLM fine-tuning service - AI tools

Axolotl AI is a free, open-source tool designed to make fine-tuning Large Language Models (LLMs) faster, more accessible, and scalable across various AI models and platforms.

• Free

OpenPipe offers a platform to train, evaluate, and deploy high-quality, cost-effective fine-tuned models. It simplifies the process of collecting data, training models, and automating deployment.

• Usage Based

Predibase is a comprehensive platform for fine-tuning and serving small language models, offering GPT-4 quality performance at significantly lower costs through advanced optimization techniques and efficient serving infrastructure.

• Usage Based

Toloka AI provides expert data for SFT and RLHF, offering access to skilled experts in over 20 domains and 40 languages to elevate your machine learning models.

• Contact for Pricing

Float16.cloud provides managed GPU infrastructure and LLM solutions for AI workloads. It offers services like serverless GPU computing and one-click LLM deployment, optimizing cost and performance.

• Usage Based

FinetuneDB is an AI fine-tuning platform that allows teams to build, train, and deploy custom language models using their own data, improving performance and reducing costs.

• Freemium

Adaptive ML provides a platform to evaluate, tune, and serve the best LLMs for your business. It uses reinforcement learning to optimize models based on measurable metrics.

• Contact for Pricing

Laminar is an open-source platform that enables developers to trace, evaluate, label, and analyze Large Language Model (LLM) applications with minimal code integration.

• Freemium
• From 25$

OneLLM is a no-code platform enabling users to fine-tune, evaluate, and deploy Large Language Models (LLMs) efficiently. Streamline LLM development by creating datasets, integrating API keys, running fine-tuning processes, and comparing model performance.

• Freemium
• From 19$