Meta AI Introduces CATransformers: A Carbon-Aware Machine Learning Framework to Co-Optimize AI Models and Hardware for Sustainable Edge Deployment
Source: MarkTechPost As machine learning systems become integral to various applications, from recommendation engines to autonomous systems, there’s...
Vasu Murthy, SVP and Chief Product Officer at Cohesity – Interview Series
Source: Unite.AI Vasu Murthy is the SVP and Chief Product Officer at Cohesity, bringing over 25 years of...
How Real-Time Volumetrics Are Rewriting Film Narratives
Source: Unite.AI There was a time when volumetric effects were concealed from everyone on a film stage except...
Locking Up Phones, Logging Into AI: Classrooms Navigate New Tech Amid Public Debate
Source: Unite.AI School policies around phone use are changing—and fast. In Ontario, Canada students are already being asked...
Getting Language Models to Open Up on ‘Risky’ Subjects
Source: Unite.AI Many top language models now err on the side of caution, refusing harmless prompts that merely...
A Step-by-Step Guide to Build a Fast Semantic Search and RAG QA Engine on Web-Scraped Data Using Together AI Embeddings, FAISS Retrieval, and LangChain
Source: MarkTechPost In this tutorial, we lean hard on Together AI’s growing ecosystem to show how quickly we...
Agent-Based Debugging Gets a Cost-Effective Alternative: Salesforce AI Presents SWERank for Accurate and Scalable Software Issue Localization
Source: MarkTechPost Identifying the exact location of a software issue—such as a bug or feature request—remains one of...
This AI Paper Investigates Test-Time Scaling of English-Centric RLMs for Enhanced Multilingual Reasoning and Domain Generalization
Source: MarkTechPost Reasoning language models, or RLMs, are increasingly used to simulate step-by-step problem-solving by generating long, structured...
Study shows vision-language models can’t handle queries with negation words
Source: MIT News – Artificial intelligence Imagine a radiologist examining a chest X-ray from a new patient. She...
Rethinking Toxic Data in LLM Pretraining: A Co-Design Approach for Improved Steerability and Detoxification
Source: MarkTechPost In the pretraining of LLMs, the quality of training data is crucial in determining model performance....