LLM Development Frameworks 🛠️

Explore the most popular frameworks and tools for building, fine-tuning, and deploying Large Language Models.

Learn how to build and fine-tune LLMs using PyTorch, a flexible deep learning library.

Explore the TensorFlow ecosystem for training and deploying LLMs.

Leverage pre-trained LLMs and state-of-the-art models with the Hugging Face library.

Optimize and export your models for efficient inference using ONNX.

Use Keras for building and training LLMs with an easy-to-use high-level API.

Enhance model efficiency with Microsoft’s DeepSpeed, built for large-scale models.

Scale model deployment with Ray Serve for distributed and low-latency inference.

Train massive LLMs with NVIDIA’s Megatron-LM for high-performance models.