This AI Paper from Cornell Introduces UCB-E and UCB-E-LRF: Multi-Armed Bandit Algorithms for Efficient and Cost-Effective LLM Evaluation
Natural Language Processing (NLP) focuses on the interaction between computers and humans through natural language. It encompasses tasks such as translation, sentiment analysis, and question answering, utilizing large language models…
Anole: An Open, Autoregressive, Native Large Multimodal Model for Interleaved Image-Text Generation
Existing open-source large multimodal models (LMMs) face several significant limitations. They often lack native integration and require adapters to align visual representations with pre-trained large language models (LLMs). Many LMMs…
Arize AI Introduces AI Copilot
Industry-first AI assistant for troubleshooting AI and other new updates promise to speed development for AI engineers Arize AI, a pioneer and leader in AI observability and LLM evaluation, today…
Aetina & Solomon Partner to Accelerate AI and 3D Vision
Empower organizations to boost productivity across manufacturing, semiconductor, retail, and other verticals Aetina, a leading global provider of edge AI solutions, is announcing a new partnership with AI and 3D…
Teragonia Joins Snowflake Partner Network
Partnership Enables Scalable Analytics Engineering and AI Solutions for Private Equity Portfolio Companies Teragonia, a leading provider of analytics engineering and artificial intelligence (AI) solutions exclusively designed for private equity (PE)…
TandemLaunch Announces Initial $27M Closing of Ventures IV Fund
Focused on deep tech, including AI, IoT and sustainability the fund garners strongsupport from Canadian and international investors TandemLaunch, a leading Canadian venture creation studio and seed fund specializing in…
Internet of Agents (IoA): A Novel Artificial Intelligence AI Framework for Agent Communication and Collaboration Inspired by the Internet
The rapid advancement of LLMs has enabled the creation of highly capable autonomous agents. However, multi-agent frameworks need help integrating diverse third-party agents due to ecosystem constraints and limited by…
LayerShuffle: Robust Vision Transformers for Arbitrary Layer Execution Orders
Deep learning systems must be highly integrated and have access to vast amounts of computational resources to function properly. Consequently, building massive data centers with hundreds of specialized hardware accelerators…
Researchers at Stanford Introduce KITA: A Programmable AI Framework for Building Task-Oriented Conversational Agents that can Manage Intricate User Interactions
Significant issues arise when programming knowledge and task assistants based on Large Language Models (LLMs) carefully follow developer-provided policies. To satisfy the requests and demands of users, these agents must…
Generalizable Reward Model (GRM): An Efficient AI Approach to Improve the Generalizability and Robustness of Reward Learning for LLMs
Pretrained large models have shown impressive abilities in many different fields. Recent research focuses on ensuring these models align with human values and avoid harmful behaviors. To achieve this, alignment…