A Practitioner's Guide to Safeguarding LLM Applications
Master essential techniques for securing and optimizing LLM applications, from structured outputs to data protection, with hands-on practice using open-source tools for enhanced reliability and performance.
Kùzu - A Fast, Scalable Graph Database for Analytical Workloads
Discover how to build and analyze knowledge graphs using Kùzu, an open-source graph database. Learn practical implementations, from data transformation to running Cypher queries and training graph neural networks for advanced RAG systems.
From Prototype to Production: Implementing LLM-Based Applications
Discover practical strategies for transitioning LLM prototypes to production, covering system design, maintenance, integration challenges, and implementation best practices for scalable AI applications.
AI Agents with Function Calling and Tool Use
Discover how to create AI agents that leverage function calling and tool usage, focusing on structured JSON outputs and external tool execution for enhanced workflow automation.
Vision Transformer - Lecture 16
Dive into Vision Transformers architecture and implementation, exploring their role in computer vision tasks through expert insights and practical applications in machine learning.
Vision Transformer for Efficient Machine Learning - Lecture 16
Dive into Vision Transformer architecture and implementation with MIT Prof. Song Han, exploring key concepts and practical applications in modern computer vision and machine learning.
Класифікація стимулів в реверберативній імпульсній нейронній мережі
Дослідіть класифікацію стимулів у реверберативних імпульсних нейронних мережах через призму теоретичної фізики та нейронауки під керівництвом провідного науковця.
Основи роботи нейромереж
Дізнайтеся про фундаментальні принципи та механізми функціонування нейронних мереж, їх архітектуру та практичне застосування в сучасних технологіях.
Game Programming: Building a Zelda-Style Game Engine with Entity Component Systems - Lecture 16
Dive into game programming fundamentals through a Zelda-style assignment, covering entity management, AI systems, asset handling, and physics implementation in C++ with SFML graphics.
Develop AI Agents with Semantic Kernel
Discover how to build AI-driven applications using Semantic Kernel framework, leveraging LLMs and planners to create autonomous agents that intelligently fulfill user requests and automate complex tasks.
Long-Context Large Language Models - Lecture 15
Dive into advanced techniques for handling extended context in Large Language Models, exploring efficiency strategies and implementation methods for enhanced AI processing capabilities.
The Role of the Cochlea in Human Speech Recognition
Explore the intricate mechanisms of how the cochlea processes and enables human speech recognition, examining its fundamental role in auditory perception and language comprehension.
Pathfinding and Steering in Game Programming - Lecture 15
Explore pathfinding and steering mechanics in game development, covering navigation meshes, path following algorithms, vector fields, and AI movement behaviors for creating realistic game character motion.
Organizing Knowledge for Flexible Behavior in Neural Networks
Explore groundbreaking research on how the brain organizes and generalizes knowledge, focusing on hippocampal models, neural populations, and grid cells in flexible behavior and intelligence.
Deep Dive into Network Observability and Data Correlation with Selector AI
Explore how Selector AI revolutionizes network issue remediation through advanced data correlation, observability, and automated incident management in this technical demonstration.
AI-Powered Ransomware Protection - From Defense to Offense with CTERA
Discover how AI and machine learning revolutionize ransomware protection through CTERA's innovative cyber storage capabilities and zero-day detection technology built into their file system.
Identifying Subgroups in Biomedical Datasets Using Data Attribution
Explore data attribution methods for machine learning models, focusing on identifying disease subtypes and meaningful patterns in biomedical datasets through hands-on practice with datamodels.
Molecular Neuromorphic Building Blocks for Artificial Intelligence
Explore cutting-edge molecular neuromorphic computing and its applications in AI through groundbreaking research on building blocks that mimic neural processes and brain-like functionality.
Powering Llama 3 - A Peek into Meta's Massive Infrastructure for Generative AI
Dive into Meta's advanced infrastructure powering Llama 3, exploring the technological backbone and innovative systems behind their next-generation generative AI development.
Keeping Pace: Micro-Models, Large Language Models, and the Co-Evolution of Chip and Data Center Design in a Rapidly Shifting AI Landscape
Explore the dynamic relationship between AI models and hardware design, examining how micro-models and LLMs are reshaping chip and data center architecture in modern computing.
Stardog Query Optimizer - Join Ordering and Cardinality Estimations for Graph Queries
Delve into query optimization techniques for graph databases, focusing on join ordering and cardinality estimations in Stardog's architecture, with insights from Pavel Klinov's extensive experience in query engine development.