LLM fine-tuning 4

Predibase is a low-code AI platform for building, fine-tuning, and deploying state-of-the-art AI models, including LLMs. Predibase is a low-code AI platform that enables engineers and data scientists to build, optimize, and deploy state-of-the-art models, ranging from linear regressions to large language models, using minimal code. It specializes in fine-tuning and serving LLMs, allowing users to customize and serve open-source models that can outperform GPT-4 within their own cloud or Predibase's infrastructure. The platform offers features like reinforcement fine-tuning, multi-LoRA inference, and autoscaling infrastructure to ensure unmatched accuracy and speed in training and serving AI models.

FineCodeX: Fine-tunes LLMs for high-quality, private, and cost-effective code generation. FineCodeX is a platform that fine-tunes LLMs on your codebase to provide high-quality code generation, claiming 4.2x the accuracy of Sonnet-3.5. It offers fine-tuned code generation with a focus on privacy and cost-effectiveness.

Global cloud platform for AI training, offering an easy-to-use SDK and cost-effective GPUs. Lumino is a global cloud platform designed for AI training and development. It offers an easy-to-use SDK for developing and training machine learning models, aiming to lower ML training costs by up to 80%. Lumino provides access to GPUs that may not be available elsewhere, enabling users to fine-tune LLMs like Llama 3.1 with just a few lines of code, without the need to set up compute instances or build ML infrastructure.

Operating platform for building, deploying, and monitoring on-premise GenAI applications. Dynamiq is an operating platform for GenAI applications, designed to help businesses build, deploy, and monitor on-premise GenAI applications to solve specific business needs, drive revenue, and boost competitiveness. It offers a low-code agentic builder, observability tools, a RAG toolbox, LLM deployment, and fine-tuning capabilities, all within the user's own infrastructure.