Generative AI vs AGI - Strengths and Weaknesses of Large Language Models
Explore AI frontiers with Dr. Ben Goertzel, comparing LLMs to human intelligence and AGI. Learn about integrating LLMs with advanced tools for enhanced analytics and reasoning, and gain insights into AI's future potential and limitations.
Langchain: Graphs with OpenAI and Neo4J - Data Science and Machine Learning
Explore graph databases using Neo4J, Langchain, and OpenAI for advanced data science and machine learning applications.
Geometric Machine Learning for Molecular Medicine
Explore geometric machine learning applications in molecular medicine, focusing on AI models for therapeutic science and drug repurposing using knowledge graphs and contextual approaches.
Towards Foundation Models for Knowledge Graph Reasoning
Explore ULTRA, a novel approach for universal and transferable graph representations in knowledge graph reasoning, enabling zero-shot inductive inference and fine-tuning on unseen graphs.
PhD Students Overview - Part 2 - Lecture 3
Explore the research contributions of Dr. Sheth's past Ph.D. students in this comprehensive overview of their work and achievements.
PhD Students Work Overview - Part 1 - Lecture 2
Explore groundbreaking research by Dr. Sheth's former Ph.D. students, gaining insights into innovative AI projects and their impact on the field.
Introduction to Knowledge Graphs and Semantic Technologies - Lecture 1
Explore foundational concepts in knowledge representation, databases, and semantic technologies. Learn about schema integration and semantic proximity in data management.
PhD Dissertation Overview - Lecture 18
Explore PhD dissertation overviews by Kalpa Gunaratna and Vipula Rawte, gaining insights into their research and findings.
Machinery Fault Diagnosis Based on Deep Learning for Time Series Analysis and Knowledge Graphs
Explore deep learning techniques for machinery fault diagnosis using time series analysis and knowledge graphs. Learn data processing, model validation, and ontology modeling for industrial applications.
Building an Enterprise Security Knowledge Graph to Fuel Better Decisions, Faster
Explore enterprise security knowledge graphs for enhanced decision-making. Learn to leverage data connections, improve threat intelligence, and streamline security operations.
Aiding Static Analysis - Discovering Vulnerabilities in Binary Targets through Knowledge Graph
Explore advanced techniques for vulnerability detection in binary targets using knowledge graphs, static analysis, and specialized tools like Binary Ninja and Kraken.
Getting Clear Text Passwords From An IdP & More
Explore privilege escalation in Okta, including methods to obtain clear text passwords and impersonate super-admins. Learn about knowledge graphs for trust analysis in vulnerability discovery and research collaboration.
When Knowledge Graph Meets TTPs - Automated and Adaptive Executable TTP Intelligence for Security
Explore automated TTP intelligence for security assessments using knowledge graphs, enhancing breach simulation with adaptive attack chains to evaluate defense capabilities effectively.
The Pattern - Machine Learning Natural Language Processing Meets VR/AR
Explore open-source NLP tools and techniques through three ML pipelines using Redis modules. Learn to build knowledge graphs, deploy BERT Q&A models, and implement text summarization with Google's T5.
Practical GraphRAG - Making LLMs Smarter with Knowledge Graphs
Discover how to enhance LLM accuracy using knowledge graphs, exploring GraphRAG implementation with Neo4j and LangChain for improved context-aware AI responses and reduced hallucinations.
The Intersection of Graphs and Large Language Models - AI in Production
Explore the synergy between graphs and Large Language Models, focusing on Retrieval Augmented Generation Knowledge Graphs and their applications in AI-powered recruitment and ethical hiring practices.
Data Labeling Best Practices for Fine-Tuning LLMs
Discover best practices for data labeling in LLM fine-tuning. Learn strategies for hiring, data preparation, and managing labelers to enhance AI model performance.
Knowledge Graph Adaptive Reasoning with Plan-on-Graph LLM - From Theory to Implementation
Discover how Plan-on-Graph LLM reasoning enhances knowledge graph integration through adaptive planning, self-correction, and efficient multi-hop reasoning for improved accuracy and transparency in AI decision-making.
Decoding on Graphs: Empowering LLMs with Knowledge Graphs Through Well-Formed Chains
Discover how to enhance LLM capabilities by integrating Knowledge Graphs through the Decoding on Graphs framework, focusing on graph-aware constrained decoding and well-formed reasoning chains.
AI-Driven Drug Repurposing: Multi-Agent Approach in Bioinformatics
Explore how three AI agents work together to revolutionize drug discovery through molecular binding prediction, knowledge graph analysis, and scientific literature mining for faster medical breakthroughs.
Machine Learning for E-commerce Product Discovery - Finding a Needle in a Haystack
Explore machine learning techniques for efficient e-commerce product discovery, addressing challenges and leveraging NLP, image recognition, and knowledge graphs.