Research GraphThe combined use of Retrieval-Augmented Generation (RAG) and Fine-tuning to improve LLM pipelinesOptimal Information Extraction and case study in agricultureJun 31Jun 31
Research GraphHow Do We Maximize the Power of LLMs?Comparing Prompt Engineering, RAG, and Fine-Tuning StrategiesMay 21May 21
Research GraphLarge Language Models for Code Writing: Performance BoostingLatest effort to improve the quality of code generated by Large Language ModelsMay 21May 21
Research GraphDiffusion Models: A Comprehensive High-Level UnderstandingHow Diffusion Models Are Transforming Generative AI and Outshining GANs and VAEsMay 21May 21
Research GraphEnhancing Retrieval-Augmented Generation with Stochastic RAGAn Introduction to End-to-End Retrieval-Augmented GenerationMay 21May 21
Research GraphChatHuman: Revolutionizing 3D Human Understanding with RAGMeet the General Specialist: Where AI Generalists Harness Specialist Tools for Unmatched PrecisionMay 18May 18
Research GraphCompactifAI: Large Language Models Don’t Actually Have To Be LargeA novel compression technique ensuring comparable performance with 70% less parametersMay 17May 17
Research GraphThe integration of large language models (LLMs) with Neo4j-based knowledge graphsEnhancing Data Interactivity with LLMs and Neo4j Knowledge GraphsMay 16May 16
Research GraphAutomated Knowledge Graph Construction with Large Language Models — Part 2Harvesting the Power and Knowledge of Large Language ModelsMay 132May 132