Advancing adaptive AI agents, empowering 3D scene creation, and innovating LLM training for a smarter, safer future Advancing adaptive AI agents, empowering 3D scene creation, and innovating LLM training for a smarter, safer future Read More
Advancing adaptive AI agents, empowering 3D scene creation, and innovating LLM training for a smarter, safer future Advancing adaptive AI agents, empowering 3D scene creation, and innovating LLM training for a smarter, safer future Read More
[[{“value”:” Posted by Colby Banbury, Emil Njor, Andrea Mattia Garavagno, Vijay Janapa Reddi TinyML is an exciting frontier in machine learning, enabling models to run on extremely low-power devices such as microcontrollers and edge devices. However, the growth of this field has been stifled by… Read More »Introducing Wake Vision: A High-Quality, Large-Scale Dataset for TinyML Computer Vision Applications noreply@blogger.com (TensorFlow Blog) The TensorFlow Blog
[[{“value”:” Large Language Models (LLMs) have grown in complexity and demand, creating significant challenges for companies aiming to provide scalable and cost-effective Model-as-a-Service (MaaS). The rapid adoption of LLMs in various applications has led to highly variable workloads in terms of input/output lengths, arrival frequencies,… Read More »China’s AI Unicorn ‘Moonshot AI’ Open-Sources its Core Reasoning Architecture: ‘Mooncake’ Asif Razzaq Artificial Intelligence Category – MarkTechPost
[[{“value”:” The rapid advancement of large language models (LLMs) has exposed critical infrastructure challenges in model deployment and communication. As models scale in size and complexity, they encounter significant storage, memory, and network bandwidth bottlenecks. The exponential growth of model sizes creates computational and infrastructural… Read More »ZipNN: A New Lossless Compression Method Tailored to Neural Networks Sajjad Ansari Artificial Intelligence Category – MarkTechPost
I believe in the ‘learning by doing’ approach—you learn more this way. I believe in the ‘learning by doing’ approach—you learn more this way. Read More
[[{“value”:” Large language models are good at many tasks but bad at complex reasoning, especially when it comes to math problems. Current In-Context Learning (ICL) methods depend heavily on carefully chosen examples and human help, which makes it hard to handle new problems. Traditional methods… Read More »Revolutionizing In-Context Learning: The HiAR-ICL Paradigm for Advanced Reasoning with MCTS Aswin Ak Artificial Intelligence Category – MarkTechPost
[[{“value”:” Large Language Models (LLMs) are powerful tools for various applications due to their knowledge and understanding capabilities. However, they are also vulnerable to exploitation, especially in jailbreaking attacks in multi-round dialogues. Jailbreaking attacks exploit the complex and sequential nature of human-LLM interactions to subtly… Read More »Meet MRJ-Agent: An Effective Jailbreak Agent for Multi-Round Dialogue Nazmi Syed Artificial Intelligence Category – MarkTechPost
[[{“value”:” Developing web agents is a challenging area of AI research that has attracted significant attention in recent years. As the web becomes more dynamic and complex, it demands advanced capabilities from agents that interact autonomously with online platforms. One of the major challenges in… Read More »ServiceNow Releases AgentLab: A New Open-Source Python Package for Developing and Evaluating Web Agents Asif Razzaq Artificial Intelligence Category – MarkTechPost
[[{“value”:” Allen Institute for AI (AI2) was founded in 2014 and has consistently advanced artificial intelligence research and applications. OLMo is a large language model (LLM) introduced in February 2024. Unlike proprietary models, OLMo is fully open-source, with its pre-training data, training code, and model… Read More »Allen Institute for AI: Open-Source Innovations with Ethical Commitments and Contributions in 2024 Mohammad Asjad Artificial Intelligence Category – MarkTechPost