Knock Knock: A New Python Library to Get a Notification when Your Training is Complete with just Two Additional Lines of Code
Training deep learning DL models is time-consuming and unpredictable. It is often hard to know precisely when a model will finish training or if it might crash unexpectedly. This uncertainty…
Skymizer Launches LLM Accelerator IP in collab with EdgeThought
Skymizer, a pioneer in compiler technology and optimized solutions, today announced the release of its revolutionary software-hardware co-design AI ASIC IP, EdgeThought, specifically engineered for accelerating Large Language Models (LLMs) at the edge.…
Vention to democratize industrial automation using NVIDIA AI technologies
Vention, the company behind the cloud-based Manufacturing Automation Platform (MAP), today announced a collaboration with NVIDIA to bring industrial automation technology to small and medium manufacturers by using NVIDIA AI and accelerated…
CoSy (Concept Synthesis): A Novel Architecture-Agnostic Machine Learning Framework to Evaluate the Quality of Textual Explanations for Latent Neurons
Modern Deep Neural Networks (DNNs) are inherently opaque; we do not know how or why these computers arrive at the predictions they do. This is a major barrier to the…
This Machine Learning Research from Microsoft Introduces an Active Preference Elicitation Method for the Online Alignment of Large Language Models
Large Language Models (LLMs) have significantly advanced in recent times, primarily because of their increased capacity to follow human commands efficiently. Reinforcement Learning from Human Feedback (RLHF) is the main…
Sparse Maximal Update Parameterization (SμPar): Optimizing Sparse Neural Networks for Superior Training Dynamics and Efficiency
Sparse neural networks aim to optimize computational efficiency by reducing the number of active weights in the model. This technique is vital as it addresses the escalating computational costs associated…
Steerability and Bias in LLMs: Navigating Multifaceted Persona Representation
LLMs need to generate text reflecting the diverse views of multifaceted personas. Prior studies on bias in LLMs have focused on simplistic, one-dimensional personas or multiple-choice formats. However, many applications…
Are AI-RAG Solutions Really Hallucination-Free? Researchers at Stanford University Assess the Reliability of AI in Legal Research: Hallucinations and Accuracy Challenges
AI legal research and document drafting tools promise to enhance efficiency and accuracy in performing complex legal tasks. However, these tools need help with their reliability in producing accurate legal…
IEIT SYSTEMS Releases Yuan 2.0-M32: A Bilingual Mixture of Experts MoE Language Model based on Yuan 2.0. Attention Router
In recent research, a team of researchers from IEIT Systems has developed Yuan 2.0-M32, a sophisticated model built using the Mixture of Experts (MoE) architecture. Similar in base design to…
TickLab: Revolutionizing Finance with AI-Powered Quant Hedge Fund and E.D.I.T.H.
TickLab, founded by visionary CTO Yasir Albayati, is at the forefront of innovation in the financial sector, specialising in deploying advanced decentralised AI into finance. Our company operates as a…