​[[{“value”:” In an era where artificial intelligence (AI) is rapidly evolving, the latest innovation from Cohere, known as C4AI Command R+, is setting new benchmarks in the field. This advanced model, boasting an impressive 104 billion parameters, is designed with its predecessors and contemporaries, such… Read More »Cohere AI Releases C4AI Command R+: An Open Weights Research Release of a 104B Parameter Model with Highly Advanced Capabilities Including Tools like RAG Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The remarkable strides made by the Transformer architecture in Natural Language Processing (NLP) have ignited a surge of interest within the Computer Vision (CV) community. The Transformer’s adaptation in vision tasks, termed Vision Transformers (ViTs), delineates images into non-overlapping patches, converts each patch into… Read More »This AI Paper from China Proposes a Novel Architecture Named-ViTAR (Vision Transformer with Any Resolution) Mohammad Arshad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In an era where artificial intelligence (AI) development often seems gated behind billion-dollar investments, a new breakthrough promises to democratize the field. Research from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and Myshell AI has unveiled that training potent large language models (LLMs),… Read More »Myshell AI and MIT Researchers Propose JetMoE-8B: A Super-Efficient LLM Model that Achieves LLaMA2-Level Training with Just US $0.1M Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The cascades concept has emerged as a critical mechanism, particularly for large language models (LLMs). These cascades enable a smaller, localized model to seek assistance from a significantly larger, remote model when it encounters challenges in accurately labeling user data. Such systems have gained… Read More »Researchers at Google AI Innovates Privacy-Preserving Cascade Systems for Enhanced Machine Learning Model Performance Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” None of us can deny that large language models (LLMs) have been pivotal in the recent advancements of Artificial Intelligence (AI). These models are instrumental in addressing a wide spectrum of tasks, from understanding natural language to solving complex mathematical problems and generating code.… Read More »EURUS: A Suite of Large Language Models (LLMs) Optimized for Reasoning, Achieving State-of-the-Art Results among Open-Source Models on Diverse Benchmarks Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Fixing bugs and issues in code repositories can be challenging in software engineering. Imagine encountering a bug in a GitHub repository and not knowing how to fix it! While some solutions are available to help with this problem, they may not always be efficient… Read More »Meet SWE-Agent: An Open-Source Software Engineering Agent that can Fix Bugs and Issues in GitHub Repositories Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) have revolutionized various applications across industries by providing advanced natural language processing capabilities. These models’ ability to generate, understand, and interpret human language has opened new avenues for technological advancements. However, their significant computational, memory, and energy demands hinder LLMs’… Read More »Researchers from ETH Zurich, EPFL, and Microsoft Introduce QuaRot: A Machine Learning Method that Enables 4-bit Inference of LLMs by Removing the Outlier Features Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Robust benchmarks are indispensable tools in the arsenal of researchers, providing a rigorous framework for evaluating new methods across a diverse array of datasets. These benchmarks are pivotal in advancing the state-of-the-art, fostering innovation, and ensuring fair and meaningful comparisons among competing methodologies. Notably,… Read More »TFB: An Open-Source Machine Learning Library Designed for Time Series Researchers Mohammad Arshad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” A deep Neural network is crucial in synthesizing photorealistic images and videos using large-scale image and video generative models. These models can be made into productive tools for humans through a critical step: adding control. This will empower generative models to follow the instructions… Read More »Condition-Aware Neural Network (CAN): A New AI Method for Adding Control to Image Generative Models Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The surge in artificial intelligence research has heralded a new era across various scientific domains, with the field of chemistry being no exception. The introduction of large language models (LLMs) has opened up unprecedented avenues for advancing chemical sciences, primarily through their ability to… Read More »Meet ChemBench: A Machine Learning Framework Designed to Rigorously Evaluate the Chemical Knowledge and Reasoning Abilities of LLMs Sana Hassan Artificial Intelligence Category – MarkTechPost