Wei-Meng LeeinAI AdvancesHandling Large Contexts in RAG (Retrieval-Augmented Generation) ApplicationsStrategies for Efficient Document Retrieval1d ago1d ago
Wei-Meng LeeinAI AdvancesUnderstanding Word Vector Embeddings in NLPUnraveling the Mysteries of Word Representations in NLP3d ago3d ago
Wei-Meng LeeinAI AdvancesRunning TensorFlow Applications on NVIDIA GPUsBoosting Model Performance with GPU Acceleration for Deep Learning5d ago5d ago
Wei-Meng LeeinAI AdvancesRunning TensorFlow Applications on Apple Silicon MacOptimizing Your TensorFlow Application with Metal Performance Shaders (MPS)6d ago6d ago
Wei-Meng LeeinAI AdvancesUnderstanding Tokenization in NLPBreaking Down Word-Level, Subword-Level, Padding, and Attention Masks for Effective Text Processing in NLPOct 262Oct 262
Wei-Meng LeeinAI AdvancesServing LLM Applications using LangChain and LangServeA tutorial on Serving LangChain-Powered Applications with LangServeOct 24Oct 24
Wei-Meng LeeinAI AdvancesRunning LLMs Locally using OllamaLearn how to utilize Ollama in your Python, LangChain, and LlamaIndex applicationsOct 23Oct 23
Wei-Meng LeeinAI AdvancesRetrieval-Augmented Generation (RAG) for Document-Based Question AnsweringLearn how to secure and access private data with LlamaIndex and Retrieval-Augmented Generation (RAG)Oct 22Oct 22
Wei-Meng LeeinAI AdvancesLeveraging AutoModel Classes for NLP, Image Classification, and LLM ApplicationsA Practical Overview of AutoModelForCausalLM, AutoModelForSequenceClassification, AutoModelForImageClassification, and…Oct 201Oct 201
Wei-Meng LeeinAI AdvancesFine-Tuning Transformers for NLP Tasks using Hugging FaceEnhancing Model Performance and Tailoring Transformers for Specific NLP ApplicationsOct 19Oct 19