Optimum Habana makes it easy to achieve fast training and inference of large language models (LLMs) on Habana Gaudi2 accelerators. In this blog, we will walk through the process of performing Low-Rank Adaptation (LoRA) training of Codegen , an open-source LLM for program synthesis. We will also benchmark the training and inference efficiency of Habana Gaudi2 using Codegen
-
-
Articles récents
- Efficient PDF Summarization with CrewAI and Intel® XPU Optimization
- Rethinking AI Infrastructure: How NetApp and Intel Are Unlocking the Future with AIPod Mini
- Intel Labs Open Sources Adversarial Image Injection to Evaluate Risks in Computer-Use AI Agents
- Optimizing LLM Inference on Intel® Gaudi® Accelerators with llm-d Decoupling
- Robots Meet Humans: Intel Labs Extends Robotics Safety to Cover 3D Environments
-
Neural networks news
Intel NN News
- Efficient PDF Summarization with CrewAI and Intel® XPU Optimization
In this blog, we demonstrate how to build and run a PDF Summarizer Agent using Intel® […]
- Rethinking AI Infrastructure: How NetApp and Intel Are Unlocking the Future with AIPod Mini
In an era dominated by the narrative that “AI equals GPUs,” a quiet revolution is […]
- Intel Labs Open Sources Adversarial Image Injection to Evaluate Risks in Computer-Use AI Agents
Adversarial examples can force computer-use artificial intelligence (AI) agents to execute […]
- Efficient PDF Summarization with CrewAI and Intel® XPU Optimization
-