​ Numerical physical simulation predictions are the main source of information used to guide climate change policy. Even though they are pushing the boundaries of the most potent supercomputers, existing climate simulators need to simulate the physics of clouds and heavy precipitation. The complexity of… Read More »Meet ClimSim: A Groundbreaking Multi-Scale Climate Simulation Dataset for Merging Machine Learning and Physics in Climate Research Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ Open-source Large Language Models (LLMs) such as LLaMA, Falcon, and Mistral offer a range of choices for AI professionals and scholars. Yet, the majority of these LLMs have only made available select components like the end-model weights or inference scripts, with technical documents often… Read More »Meet LLM360: The First Fully Open-Source and Transparent Large Language Models (LLMs) Sana Hassan Artificial Intelligence Category – MarkTechPost

​ Differential privacy (DP) is a well-known technique in machine learning that aims to safeguard the privacy of individuals whose data is used to train models. It is a mathematical framework that guarantees that the output of a model is not influenced by the presence… Read More »Google Researchers Unveil a Novel Single-Run Approach for Auditing Differentially Private Machine Learning Systems Adnan Hassan Artificial Intelligence Category – MarkTechPost

​ Large Language Models (LLMs), due to their strong generalization and reasoning powers, have significantly uplifted the Artificial Intelligence (AI) community. These models have shown to be remarkably capable and have showcased the capabilities of Natural Language Processing (NLP), Natural Language Generation (NLG), Computer Vision,… Read More »Microsoft AI Releases LLMLingua: A Unique Quick Compression Technique that Compresses Prompts for Accelerated Inference of Large Language Models (LLMs) Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ Large Language Models (LLMs) are transforming deep learning by demonstrating astounding powers to produce text of human caliber and perform a wide range of language tasks. Getting high-quality human data is a major barrier, even while supervised fine-tuning (SFT) using human-collected data further improves… Read More »Exploring New Frontiers in AI: Google DeepMind’s Research on Advancing Machine Learning with ReSTEM Self-Training Beyond Human-Generated Data Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ The large language models domain has taken a remarkable step forward with the arrival of Mixtral 8x7b. Mistral AI developed this new model with impressive capabilities and a unique architecture that sets it apart. It has replaced feed-forward layers with a sparse Mixture of… Read More »Meet Mixtral 8x7b: The Revolutionary Language Model from Mistral that Surpasses GPT-3.5 in Open-Access AI Rachit Ranjan Artificial Intelligence Category – MarkTechPost

​ Meeting notes are a crucial part of collaboration, yet they often fall through the cracks. Between leading discussions, listening closely, and typing notes, it’s easy for key information to slip away unrecorded. Even when notes are captured, they can be disorganized or illegible, rendering… Read More »Create summaries of recordings using generative AI with Amazon Bedrock and Amazon Transcribe Rob Barnes AWS Machine Learning Blog

​ In this post, we showcase fine-tuning a Llama 2 model using a Parameter-Efficient Fine-Tuning (PEFT) method and deploy the fine-tuned model on AWS Inferentia2. We use the AWS Neuron software development kit (SDK) to access the AWS Inferentia2 device and benefit from its high… Read More »Fine-tune Llama 2 using QLoRA and Deploy it on Amazon SageMaker with AWS Inferentia2 Wei Teh AWS Machine Learning Blog

​ Machine learning (ML) models do not operate in isolation. To deliver value, they must integrate into existing production systems and infrastructure, which necessitates considering the entire ML lifecycle during design and development. ML operations, known as MLOps, focus on streamlining, automating, and monitoring ML… Read More »Build an end-to-end MLOps pipeline using Amazon SageMaker Pipelines, GitHub, and GitHub Actions Romina Sharifpour AWS Machine Learning Blog

​ Diffusion models have shown to be very successful in producing high-quality photographs when given text suggestions. This paradigm for Text-to-picture (T2I) production has been successfully used for several downstream applications, including depth-driven picture generation and subject/segmentation identification. Two popular text-conditioned diffusion models, CLIP models… Read More »This AI Research from Arizona State University Unveil ECLIPSE: A Novel Contrastive Learning Strategy to Improve the Text-to-Image Non-Diffusion Prior Aneesh Tickoo Artificial Intelligence Category – MarkTechPost