- Wed. Nov 27th, 2024
Latest Post
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…
Microsoft Research Introduces AgentInstruct: A Multi-Agent Workflow Framework for Enhancing Synthetic Data Quality and Diversity in AI Model Training
Large language models (LLMs) have been instrumental in various applications, such as chatbots, content creation, and data analysis, due to their capability to process vast amounts of textual data efficiently.…
FunAudioLLM: A Multi-Model Framework for Natural, Multilingual, and Emotionally Expressive Voice Interactions
Voice interaction technology has significantly evolved with the advancements in artificial intelligence (AI). The field focuses on enhancing natural communication between humans and machines, aiming to make interactions more intuitive…
Review-LLM: A Comprehensive AI Framework for Personalized Review Generation Using Large Language Models and User Historical Data in Recommender Systems
Personalized review generation within recommender systems is an area of increasing interest, particularly in creating custom reviews based on users’ historical interactions and preferences. This involves utilizing data about users’…
Researchers from Stanford and the University at Buffalo Introduce Innovative AI Methods to Enhance Recall Quality in Recurrent Language Models with JRT-Prompt and JRT-RNN
Language modeling has significantly progressed in developing algorithms to understand, generate, and manipulate human language. These advancements have led to large language models that can perform translation, summarization, and question-answering…
M-Files Named to KMWorld’s AI 100 List for 2024
M-Files Knowledge Work Automation Platform Recognized for Providing Superior AI Capabilities and Experiences M-Files, the leader in knowledge work automation, today announced that the company has been named to the KMWorld…