PinnedPublished inArtificial CornerMastering Llama 2: A Comprehensive Guide to Fine-Tuning in Google ColabDive deep into Llama 2 — the cutting-edge NLP model. This guide covers everything from setup and loading to fine-tuning and deployment in…Sep 3, 20239Sep 3, 20239
PinnedPublished inTowards AIThe Zero Redundancy Optimizer (ZeRO): A Short Introduction with PythonUncover how Zero Redundancy Optimizer transforms data parallelism, boosting memory and computational efficacy.Aug 15, 2023Aug 15, 2023
PinnedPublished inBetter ProgrammingPower of DocsGPT: A Tutorial on Querying PDF and Word DocumentsLearn to use DocsGPT, a tool leveraging OpenAI’s GPT for querying PDF, PowerPoint, and Word documents using Google CollaboratoryJun 21, 20232Jun 21, 20232
PinnedPublished inLevel Up CodingBuilding a Cutting-Edge Machine Learning Platform: A Step-by-Step GuideGet a complete guide to building a top-notch machine learning platform. Learn data and model management, hosting, experiments, and…May 28, 20235May 28, 20235
PinnedPublished inLevel Up CodingLLM Behind the Scenes: Exploring Transformers with TensorFlowUnleash the Potential of Language Models (LLMs) with Transformers and TensorFlow. This comprehensive tutorial takes you on a journey…May 18, 20232May 18, 20232
Published inArtificial Intelligence in Plain EnglishContinual Learning in Machine Learning: Real-time Updates for Dynamic DataThis chapter explores continual learning, updating models to adapt to data shifts efficiently, and highlighting stateful training…2d ago2d ago
Published inLevel Up CodingMachine Learning Model DeploymentExplore the complexities of deploying ML models, compare batch vs. online predictions, and optimization techniques for fast inference…Dec 3Dec 3
Published inLevel Up CodingAdvanced Techniques for Machine Learning Model Development, Training, and Offline EvaluationDiscover critical strategies for optimizing machine learning models, covering development, training, and offline evaluation techniques.Dec 2Dec 2
Published inLevel Up CodingOptimizing ML Performance: The Crucial Role of Feature EngineeringInvesting in feature engineering is essential for effective ML systems. Feature engineering, often requiring domain expertise, should…Nov 282Nov 282
Published inLevel Up CodingComprehensive Metrics Guide for Evaluating Recommendation SystemsExplore metrics for recommendation systems, including similarity, predictive accuracy, classification, ranking, user engagement, and…Jun 18Jun 18
