TuneMyAI Alternatives

If you're looking for another TuneMyAI alternative, Predibase is worth a look. The service lets developers fine-tune and deploy large language models (LLMs) with a high degree of efficiency and cost control. It supports techniques like quantization, low-rank adaptation and a pay-as-you-go pricing model, and is good for tasks like classification and information extraction.

Another option is Airtrain AI, which offers a no-code compute service for data teams working with large data pipelines. It comes with an LLM Playground for trying out more than 27 open-source and proprietary models, and fine-tuning abilities for customizing models. With its Community Support system and multiple pricing tiers, Airtrain AI is designed to make LLMs more accessible and economical for quick testing, fine-tuning and deployment.

If you're looking for an ML engineering platform that can handle a variety of tasks, Modelbit is worth a look. You can deploy your own ML models and open-source models to autoscaling infrastructure with built-in MLOps tools. With features like Git integration, model registry and autoscaling compute, Modelbit supports a wide range of ML models, and has flexible pricing options to accommodate different needs.

Last, if you need to fine-tune and infer open-source language models, Forefront is worth a look. It lets you adapt models in minutes, exposes serverless endpoints for easy integration, and offers flexible deployment options. With strong privacy and security controls, Forefront is a good choice for research, startups and businesses that want to optimize open-source models.