Frank Morales AguilerainArtificial Intelligence in Plain EnglishAdam and AdamW: Optimizers for Deep LearningFrank Morales Aguilera, BEng, MEng, SMIEEE6d ago6d ago
Frank Morales AguilerainArtificial Intelligence in Plain EnglishGraph-Enhanced Text-to-SQL Generation: A Parameter-Efficient Approach with Mistral and LoRAFrank Morales Aguilera, BEng, MEng, SMIEEEAug 8Aug 8
Frank Morales AguilerainArtificial Intelligence in Plain EnglishEnhancing SQL Generation in Large Language Models with Graph Neural NetworksFrank Morales Aguilera, BEng, MEng, SMIEEJul 13Jul 13
Frank Morales AguilerainArtificial Intelligence in Plain EnglishEvaluating the Performance of a Fine-Tuned Text-to-SQL ModelFrank Morales Aguilera, BEng, MEng, SMIEEJul 7Jul 7
Frank Morales AguilerainArtificial Intelligence in Plain EnglishRevolutionizing Text-to-SQL Evaluation: A Deep Dive into PEFT, PostgreSQL, ChromaDB, and Semantic…Frank Morales Aguilera, BEng, MEng, SMIEEEJul 7Jul 7
Frank Morales AguilerainArtificial Intelligence in Plain EnglishA Comprehensive Evaluation of a Fine-Tuned Text-to-SQL Model: From Code to Results with…Frank Morales Aguilera, BEng, MEng, SMIEEEJul 7Jul 7
Frank Morales AguilerainArtificial Intelligence in Plain EnglishFAISS-Powered Semantic Search Meets Fine-Tuned Mistral: A Novel Approach to Text-to-SQL GenerationFrank Morales Aguilera, BEng, MEng, SMIEEEJul 4Jul 4
Frank Morales AguilerainThe Deep HubRAG, RAG Fusion, and Fine-Tuning: A Comparative AnalysisFrank Morales Aguilera, BEng, MEng, SMIEEEJul 3Jul 3
Frank Morales AguilerainThe Deep HubSFTTrainer: A Comprehensive Exploration of Its Concept, Advantages, Limitations, History, and…Frank Morales Aguilera, BEng, MEng, SMIEEEJun 24Jun 24