[[{“value”:” Over the years, many of us have become accustomed to letting computers do our thinking for us. “That’s what the computer says” is a refrain in many bad customer service interactions. “That’s what the data says” is a variation—“the data” doesn’t say much if… Read More »Think Better Mike Loukides AI & ML – Radar
[[{“value”:” Generative artificial intelligence (AI) provides an opportunity for improvements in healthcare by combining and analyzing structured and unstructured data across previously disconnected silos. Generative AI can help raise the bar on efficiency and effectiveness across the full scope of healthcare delivery. The healthcare industry… Read More »Intelligent healthcare forms analysis with Amazon Bedrock Satish Sarapuri AWS Machine Learning Blog
[[{“value”:” Bringing together the world’s brightest minds and the latest accelerated computing technology leads to powerful breakthroughs that help tackle some of the biggest research problems. To foster such innovation, the NVIDIA Graduate Fellowship Program provides grants, mentors and technical support to doctoral students doing… Read More »Applications Now Open for $60,000 NVIDIA Graduate Fellowship Awards Sylvia Chanak – Archives Page 1 | NVIDIA Blog
[[{“value”:” Large language models (LLMs) have made significant strides in various applications, but they continue to face substantial challenges in complex reasoning tasks. For instance, even advanced models like Mistral-7B can only achieve 36.5% accuracy on the GSM8K dataset, despite employing techniques such as Chain-of-Thought… Read More »Self-play muTuAl Reasoning (rStar): A Novel AI Approach that Boosts Small Language Models SLMs’ Reasoning Capability during Inference without Fine-Tuning Mohammad Asjad Artificial Intelligence Category – MarkTechPost
[[{“value”:” Transformers are a groundbreaking innovation in AI, particularly in natural language processing and machine learning. Despite their pervasive use, the internal mechanics of Transformers remain a mystery to many, especially those who lack a deep technical background in machine learning. Understanding how these models… Read More »Transformer Explainer: An Innovative Web-Based Tool for Interactive Learning and Visualization of Complex AI Models for Non-Experts Nikhil Artificial Intelligence Category – MarkTechPost
[[{“value”:” We have all experienced it: starting is the toughest part of any journey. So getting started in the ML field wouldn’t be any different. This is why today I want to highlight some of the essential tools that every beginner — or person willing… Read More »Free Tools Every ML Beginner Should Use Josep Ferrer MachineLearningMastery.com
[[{“value”:” A new research addresses a critical issue in Multimodal Large Language Models (MLLMs): the phenomenon of object hallucination. Object hallucination occurs when these models generate descriptions of objects not present in the input data, leading to inaccuracies undermining their reliability and effectiveness. For instance,… Read More »Data-Augmented Contrastive Tuning: A Breakthrough in Object Hallucination Mitigation Shreya Maji Artificial Intelligence Category – MarkTechPost
[[{“value”:” Deploying large language models (LLMs) has become a significant challenge for developers and researchers. As LLMs grow in complexity and size, ensuring they run efficiently across different platforms, such as personal computers, mobile devices, and servers, is daunting. The problem intensifies when trying to… Read More »MLC LLM: Universal LLM Deployment Engine with Machine Learning ML Compilation Niharika Singh Artificial Intelligence Category – MarkTechPost
[[{“value”:” Maximum A Posteriori (MAP) decoding is a technique used to estimate the most probable value of an unknown quantity based on observed data and prior knowledge, especially in digital communications and image processing. The effectiveness of MAP decoding depends on the accuracy of the… Read More »MBRS: A Python Library for Minimum Bayes Risk (MBR) Decoding Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost
[[{“value”:” Handling partial code with potential bugs presents a significant challenge in developing real-time code suggestion systems. Incomplete code snippets often exhibit errors, necessitating accurate completion that also addresses embedded bugs to enhance the reliability and efficiency of AI-driven programming tools. The primary challenge involves… Read More »Outperforming Existing Models with Multi-Pass Refinement: This AI Paper from Amazon Unveils a New Era in Code Suggestion Tools Aswin Ak Artificial Intelligence Category – MarkTechPost