Cost / License
- Freemium
- Open Source (Apache-2.0)
Platforms
- Software as a Service (SaaS)
- Online
- Self-Hosted

Plexe AI is described as 'Enables you to create, train, and deploy machine learning models using simple English commands — no coding required' and is an app in the ai tools & services category. There are more than 10 alternatives to Plexe AI for a variety of platforms, including Web-based, Windows, Linux, Mac and SaaS apps. The best Plexe AI alternative is Unsloth, which is both free and Open Source. Other great apps like Plexe AI are Fireworks AI, Mistral Forge, SMOL-GPT and AIkit.

Harness state-of-the-art open-source LLMs and image models at blazing speeds with Fireworks AI. Utilize rapid deployment, fine-tuning without extra costs, FireAttention for model efficiency, and FireFunction for complex AI applications including automation and domain-expert copilots.




Transform institutional knowledge into frontier-grade LLMs—without infrastructure burden or cloud lock-in.

AIKit is a comprehensive platform to quickly get started to host, deploy, build and fine-tune large language models (LLMs).



Liner is a free tool that lets you train your ML models easily. It takes your training data and gives you an easy-to-integrate ML model.
Seamlessly connect to multiple models through a single gateway with failproof routing, cost control, and instant usage insights.




Build, customize and control you own LLMs. From data pre-processing to fine-tuning, xTuring provides an easy way to personalize open-source LLMs.

You’re about to supercharge your AI models with lightning-fast inference. Inference Engine makes it easy to scale, and optimize your models for real-time performance. Let’s get started—your AI is ready to shine.




Train AI models with your data in minutes, not weeks, and get better performance at lower cost. Integrates with open-source and proprietary foundation models.



Abstract the complexity, focus on building great products. Fully compatible with OpenAI SDK - no new API to learn. From creative to production, AI capabilities at your fingertips.




"Agents" originated in reinforcement learning, where they learn by interacting with an environment and receiving a reward signal. However, LLM-based agents today do not learn online (i.e. continuously in real time) via reinforcement.