Llama

Llama 3 deployment automated 80% of ticket handling while improving quality. Support agents now focus on complex problem-solving instead of repetitive tasks.

Sofya deployed Llama models with knowledge distillation techniques, reducing provider documentation time by 30% while maintaining 90% customer satisfaction.

User cases show 75% HR containment, 93% ticket accuracy, 50% faster case prep, and 95% reduced editorial review with Llama on watsonx.

"Quantised Llama 3.2 achieves 56% size reduction using QLoRA and SpinQuant, with 4-bit weights and 8-bit activations for mobile deployment."

CodeGPT's Llama integration boosted productivity 30%, sped up onboarding, and enabled codebase graph understanding. Open-source nature crucial for innovation.

Neuromnia uses Llama 3.1 to create Nia, an AI co-pilot for ABA therapy. Fine-tuned with expert data, it automates treatment planning and documentation for autism care.