Published inAthina AIThe Future of AI: Introducing VeRA-Vector-Based Random Matrix AdaptationIntroductionOct 7Oct 7
Published inAthina AI[Research Paper Summary]ReFT: Representation Finetuning for Language ModelsOriginal Paper: https://arxiv.org/abs/2404.03592Oct 7Oct 7
Published inAthina AI[Research Paper Summary]A Comprehensive Evaluation of Quantized Instruction-Tuned Large Language…Original Paper: https://arxiv.org/abs/2409.11055Oct 4Oct 4
Published inAthina AIDeep Dive into RAG Frameworks: Analyzing Tools and TechnologiesRetrieval-augmented generation (RAG), acutting-edge AI method, combines the capability of massive language models with real-time knowledge…Oct 3Oct 3
Published inAthina AICost-Benefit Analysis of AI Deployment: Balancing Performance and BudgetThe rapidly advancing field of artificial intelligence is producing a series of reflective and innovative developments, much on the basis…Oct 3Oct 3
Published inAthina AIDecoding Ambiguity: How QOQA Enhances AI Response Accuracy in RAG SystemsIntroductionOct 2Oct 2
Published inAthina AIHow Automated Design of Agentic Systems Elevate Decision Support with Cutting-Edge AI InnovationsIntroductionSep 30Sep 30
Published inAthina AI[Research Paper Summary]What is the Role of Small Models in the LLM Era: A SurveyOriginal Paper: https://arxiv.org/abs/2409.06857Sep 28Sep 28
Published inAthina AINavigating the Complexities of Building Robust AI AgentsIntroductionSep 28Sep 28
Published inAthina AI[Research Paper Summary]Achieving Peak Performance for Large Language Models: A Systematic ReviewOriginal Paper: https://arxiv.org/abs/2409.04833Sep 26Sep 26