LLM Forge
Fine-tune and deploy large language models at scale
Overview
LLM Forge is a comprehensive platform for fine-tuning and deploying large language models at scale. Build custom LLM applications with state-of-the-art models and production-ready infrastructure.
Model Fine-tuning
LoRA, QLoRA, and full fine-tuning with distributed training support for faster iteration
Prompt Engineering
Test, optimize, and version control prompts with built-in evaluation metrics
RAG Integration
Connect external knowledge bases and vector databases for context-aware responses
Multi-GPU Training
Distributed training across multiple GPUs and nodes for large-scale fine-tuning
Inference Optimization
Quantization, caching, and batching for cost-effective production deployment
API Deployment
Production-ready REST endpoints with auto-scaling and monitoring
Supported Models
Access to latest open-source and commercial LLMs with seamless switching between models
Why LLM Forge
Faster Development
Pre-configured environments and automated workflows reduce setup time from days to hours
Cost Efficient
Smart resource management and optimization reduce inference costs by up to 70%
Production Ready
Enterprise-grade infrastructure with monitoring, logging, and auto-scaling built-in