Building Your First GenAI App Using Databricks, MosaicML and MLRun
Learn to implement, scale, and manage GenAI applications using Databricks, MosaicAI, and MLRun. Explore MLOps best practices, CI/CD automation, and GPU optimization for enterprise-level AI deployment.
From Zero to SOTA: Fine-Tuning BERT Using Hugging Face for World-Class Training Performance
Discover how to fine-tune BERT using Hugging Face and Graphcore's IPU for state-of-the-art NLP performance. Learn to accelerate AI development, optimize models, and leverage cloud platforms for efficient machine learning workflows.
OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models
Explore OpenMoE, an open-source Mixture-of-Experts language model series. Discover its cost-effectiveness, routing mechanisms, and key insights in comparison to dense LLMs.
Distillation of Transformer Models - Tutorial and Code Walk-through
Learn advanced techniques for distilling transformer models, including pruning, fine-tuning, and performance evaluation. Gain practical insights through code walkthroughs and real-world examples.
Generative AI Concepts and Services for AI-900 Certification
Explore generative AI concepts and services, including LLM training, transformer models, OpenAI, Microsoft Copilots, and Azure OpenAI. Learn about prompt engineering, responsible AI, and practical applications.
Algorithms and Hardness for Attention and Kernel Density Estimation
Explore algorithmic techniques for Attention and Kernel Density Estimation, examining fast algorithms and hardness results to optimize computational efficiency in machine learning and statistical tasks.
A Chiplet-Based Generative Inference Architecture with Block Floating Point Datatypes
Explore a chiplet-based architecture for generative inference, featuring block floating point datatypes and optimizations for large language models in AI accelerated computing.
scPRINT - Pre-training on 50 Million Cells for Robust Gene Network Predictions
Discover how scPRINT, a large cell model pre-trained on 50M+ cells, revolutionizes gene network inference while offering powerful capabilities in denoising, batch correction, and cell prediction.
Is AI Sexist? Examining Gender Bias in Large Language Models
Explore how gender bias manifests in AI systems, particularly in Large Language Models, and learn practical steps to identify, understand, and address these biases in technology development.