​[[{“value”:” Modern bioprocess development, driven by advanced analytical techniques, digitalization, and automation, generates extensive experimental data valuable for process optimization—ML methods to analyze these large datasets, enabling efficient exploration of design spaces in bioprocessing. Specifically, ML techniques have been applied in strain engineering, bioprocess optimization,… Read More »Harnessing Machine Learning for Advanced Bioprocess Development: From Data-Driven Optimization to Real-Time Monitoring Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Machine learning methods, particularly deep neural networks (DNNs), are widely considered vulnerable to adversarial attacks. In image classification tasks, even tiny additive perturbations in the input images can drastically affect the classification accuracy of a pre-trained model. The impact of these perturbations in real-world… Read More »This AI Paper Proposes Approximation Decision Boundary ADBA: An AI Approach for Black-Box Adversarial Attacks Mohammad Arshad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Evaluating Large Language Models (LLMs) is a challenging problem in language modeling, as real-world problems are complex and variable. Conventional benchmarks frequently fail to fully represent LLMs’ all-encompassing performance. A recent LinkedIn post has emphasized a number of important measures that are essential to… Read More »Key Metrics for Evaluating Large Language Models (LLMs) Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Generative models are designed to replicate the patterns in the data they are trained on, typically mirroring human actions and outputs. Since these models learn to minimize the difference between their predictions and human-generated data, they aim to match the quality of human expertise… Read More »Transcending Human Expertise: Achieving Superior Performance in Generative AI Models through Low-Temperature Sampling and Diverse Data Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Amazon Translate is a neural machine translation service that delivers fast, high quality, affordable, and customizable language translation. Amazon Translate supports 75 languages and 5,550 language pairs. For the latest list, see the Amazon Translate Developer Guide. A key benefit of Amazon Translate is… Read More »Maximize your Amazon Translate architecture using strategic caching layers Praneeth Reddy Tekula AWS Machine Learning Blog

​[[{“value”:” In a significant leap forward for AI, Together AI has introduced an innovative Mixture of Agents (MoA) approach, Together MoA. This new model harnesses the collective strengths of multiple large language models (LLMs) to enhance state-of-the-art quality and performance, setting new benchmarks in AI. … Read More »Together AI Introduces Mixture of Agents (MoA): An AI Framework that Leverages the Collective Strengths of Multiple LLMs to Improve State-of-the-Art Quality Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the modern world, efficiency is key. Companies are constantly seeking ways to streamline their operations, reduce bottlenecks, and increase productivity.  Bitrix24 is comprehensive platform that offers a suite of tools designed to enhance collaboration, manage tasks, and automate workflows. In this article will… Read More »Bitrix24 Supernova Release: Igniting Exponential Growth with Increased Efficiency and Productivity Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In today’s fast-paced digital world, streamlining workflows and boosting productivity are paramount. That’s why we’re thrilled to share an exciting integration that will take your team’s collaboration to new heights. Get ready to unlock the power of generative artificial intelligence (AI) and bring it… Read More »Deploy a Slack gateway for Amazon Bedrock Rushabh Lokhande AWS Machine Learning Blog

​[[{“value”:” Data curation is essential for developing high-quality training datasets for language models. This process includes techniques such as deduplication, filtering, and data mixing, which enhance the efficiency and accuracy of models. The goal is to create datasets that improve the performance of models across… Read More »DataComp for Language Models (DCLM): An AI Benchmark for Language Model Training Data Curation Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Using reinforcement learning (RL) to train large language models (LLMs) to serve as AI assistants is common practice. To incentivize high-reward episodes, RL assigns numerical rewards to LLM outcomes. Reinforcing bad behaviors is possible when reward signals are not properly stated and do not… Read More »Unmasking AI Misbehavior: How Large Language Models Generalize from Simple Tricks to Serious Reward Tampering Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost