Ludwig AI Alternatives

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.

Cross-platform framework for deploying LLM/VLM/TTS models locally on smartphones.

Unslow finetuning for AI and LLMs. Get 30x faster with Unsloth.

Plexe AI enables you to create, train, and deploy machine learning models using simple English commands — no coding required.

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

Run and fine-tune generative AI models with easy-to-use APIs and highly scalable infrastructure. Train and deploy models at scale on our AI Acceleration Cloud and scalable GPU clusters. Optimize performance and cost.

Integrate quickly, track & version automatically Track, version and visualize with just 5 lines of code Reproduce any model checkpoints Monitor CPU and GPU usage in real time

Track every detail of your ML pipeline automatically. Visualize results with relevant context. Drag.

"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.

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

Axolotl is a tool designed to streamline the fine-tuning of various AI models, offering support for multiple configurations and architectures.

The simplest, fastest repository for training/finetuning medium-sized GPTs. It is a rewrite of minGPT that prioritizes teeth over education. Still under active development, but currently the file train.

Cloudflare Workers AI provides a serverless platform to execute AI models utilizing GPUs in its network, eliminating infrastructure needs. Access over 50 open-source models, use AI Gateway for app control, and deploy globally with tools like Vectorize, R2, and D1.