​[[{“value”:” The transformer architecture has improved natural language processing, with recent advancements achieved through scaling efforts from millions to billion-parameter models. However, larger models’ increased computational cost and memory footprint limit their practicality, benefiting only a few major corporations. Extending training duration necessitates larger datasets,… Read More »DenseFormer by EPFL Researchers: Enhancing Transformer Efficiency with Depth-Weighted Averages for Superior Language Modeling Performance and Speed Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” With a nuanced scope of application, because of the amount of information it has been exposed and trained to, Large Language Models (LLMs) have emerged as game changers in Artificial Intelligence (AI). However, there are still unexplored or less explored territories that sometimes need… Read More »Microsoft AI Proposes CoT-Influx: A Novel Machine Learning Approach that Pushes the Boundary of Few-Shot Chain-of-Thoughts (CoT) Learning to Improve LLM Mathematical Reasoning Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In today’s fast-paced financial world, investors often find themselves overwhelmed by the vast amount of data and information available when analyzing potential investments. Without proper tools and guidance, investors usually face difficulties deciding where to put their money. While some investors may rely on… Read More »Meet Claude-Investor: The First Claude 3 Investment Analyst Agent Repo Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Searching for efficiency in the complex optimization world leads researchers to explore methods that promise rapid convergence without the burdensome computational cost typically associated with high-dimensional problems. Second-order methods, such as the cubic regularized Newton (CRN) method, have been celebrated for their swift convergence.… Read More »Transforming High-Dimensional Optimization: The Krylov Subspace Cubic Regularized Newton Method’s Dimension-Free Convergence Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Generative Language Models (GLMs) are being increasingly integrated into various sectors, including customer service and content creation, which necessitates maintaining a balance between moderation and freedom of expression. Hence, the need for a sophisticated approach to moderating potentially harmful content while preserving linguistic diversity… Read More »Enhancing User Agency in Generative Language Models: Algorithmic Recourse for Toxicity Filtering Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” As Large Language Models (LLMs) like ChatGPT, LLaMA, and Mistral continue to advance, concerns about their susceptibility to harmful queries have intensified, prompting the need for robust safeguards. Approaches such as supervised fine-tuning (SFT), reinforcement learning from human feedback (RLHF), and direct preference optimization… Read More »This AI Paper Introduces SafeEdit: A New Benchmark to Investigate Detoxifying LLMs via Knowledge Editing Mohammad Arshad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” As advanced models, large Language Models (LLMs) are tasked with interpreting complex medical texts, offering concise summaries, and providing accurate, evidence-based responses. The high stakes associated with medical decision-making underscore the paramount importance of these models’ reliability and accuracy. Amidst the increasing integration of… Read More »Researchers from Imperial College and GSK AI Introduce RAmBLA: A Machine Learning Framework for Evaluating the Reliability of LLMs as Assistants in the Biomedical Domain Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The performance of multimodal large Language Models (MLLMs) in visual situations has been exceptional, gaining unmatched attention. However, their ability to solve visual math problems must still be fully assessed and comprehended. For this reason, mathematics often presents challenges in understanding complex concepts and… Read More »MathVerse: An All-Around Visual Math Benchmark Designed for an Equitable and In-Depth Evaluation of Multi-modal Large Language Models (MLLMs) Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In an era where artificial intelligence (AI) transforms every facet of our lives, a groundbreaking achievement in the medical field stands out: OpenEvidence, a pioneering medical AI developed under the auspices of Mayo Clinic Platform Accelerate, has set a new standard by scoring above… Read More »Revolutionizing Healthcare: OpenEvidence Launches Medical AI API for Enhanced Clinical Solutions Shobha Kakkar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Amazon Transcribe is an AWS service that allows customers to convert speech to text in either batch or streaming mode. It uses machine learning–powered automatic speech recognition (ASR), automatic language identification, and post-processing technologies. Amazon Transcribe can be used for transcription of customer care… Read More »Best practices for building secure applications with Amazon Transcribe Alex Bulatkin AWS Machine Learning Blog