​Posted by Gabriel Barcik and Duc-Hieu Tran, Research Engineers, Google Research In today’s digital age, smartphones and desktop web browsers serve as the primary tools for accessing news and information. However, the proliferation of website clutter — encompassing complex layouts, navigation elements, and extraneous links… Read More »On-device content distillation with graph neural networks Google AI Google AI Blog

​ “Data locked away in text, audio, social media, and other unstructured sources can be a competitive advantage for firms that figure out how to use it“ Only 18% of organizations in a 2019 survey by Deloitte reported being able to take advantage of unstructured… Read More »Build a classification pipeline with Amazon Comprehend custom classification (Part I) Yanyan Zhang AWS Machine Learning Blog

​ Today, generative AI models cover a variety of tasks from text summarization, Q&A, and image and video generation. To improve the quality of output, approaches like n-short learning, Prompt engineering, Retrieval Augmented Generation (RAG) and fine tuning are used. Fine-tuning allows you to adjust… Read More »Fine-tune Falcon 7B and other LLMs on Amazon SageMaker with @remote decorator Bruno Pistone AWS Machine Learning Blog

​ This post takes you through the most common challenges that customers face when searching internal documents, and gives you concrete guidance on how AWS services can be used to create a generative AI conversational bot that makes internal information more useful. Unstructured data accounts… Read More »Simplify access to internal information using Retrieval Augmented Generation and LangChain Agents Abhishek Maligehalli Shivalingaiah AWS Machine Learning Blog

​ Machine learning models have become indispensable tools in various professional fields, driving applications in smartphones, software packages, and online services. However, the complexity of these models has rendered their underlying processes and predictions increasingly opaque, even to seasoned computer scientists. To address this challenge… Read More »UCI and Harvard Researchers Introduce TalkToModel that Explains Machine Learning Models to its Users Niharika Singh Artificial Intelligence Category – MarkTechPost

​ Today, platforms like Hugging Face have made it easier for a wide range of users, from AI researchers to those with limited machine learning experience, to access and utilize pre-trained Large Language Models (LLMs) for different entities. When multiple such organizations or entities share… Read More »This Paper by Alibaba Group Introduces FederatedScope-LLM: A Comprehensive Package for Fine-Tuning LLMs in Federated Learning Janhavi Lande Artificial Intelligence Category – MarkTechPost

​ Lithium-ion batteries have become the linchpin of energy storage in the modern era thanks to their high energy density, long cycle life, and low self-discharge rates. These attributes have made them indispensable in various industries, from electric vehicles and consumer electronics to renewable energy… Read More »Microsoft Research Introduces BatteryML: An Open-Source Tool for Machine Learning on Battery Degradation Shobha Kakkar Artificial Intelligence Category – MarkTechPost

​ In the ever-evolving field of Natural Language Processing (NLP), the development of machine translation and language models has been primarily driven by the availability of vast training datasets in languages like English. However, a significant challenge for researchers and practitioners is the need for… Read More »Google AI Researchers Introduce MADLAD-400: A 2.8T Token Web-Domain Dataset that Covers 419 Languages Madhur Garg Artificial Intelligence Category – MarkTechPost

​ Text-to-image diffusion models have exhibited impressive success in generating diverse and high-quality images based on input text descriptions. Nevertheless, they encounter challenges when the input text is lexically ambiguous or involves intricate details. This can lead to situations where the intended image content, such… Read More »A New AI Research from Tel Aviv and the University of Copenhagen Introduces a ‘Plug-and-Play’ Approach for Rapidly Fine-Tuning Text-to-Image Diffusion Models by Using a Discriminative Signal Daniele Lorenzi Artificial Intelligence Category – MarkTechPost