AI-generated images are becoming indistinguishable from reality, challenging our perception and eroding trust. Will fakes in industries like modeling offer a more diverse representation of humanity, or perpetuate narrow beauty standards?
Deepfakes have infiltrated US elections, with a fake audio call of Joe Biden reaching voters in New Hampshire. AI tools make it easy and cheap for anyone, even journalists, to create deceptive audio content.
Discover design approaches for building scalable QA applications using Extractive and Open Generative architectures. Learn about retrievers, readers, and vector databases like Faiss and Pinecone for efficient information retrieval.
Elon Musk's Neuralink implants offer hope for eradicating brain disorders, but raise ethical concerns. Founded in 2016, Neuralink pioneers brain-machine interfaces, allowing for mind control of robots and potentially altering thoughts and behaviors.
LLMs have transformed NLP tasks, but monitoring their performance is crucial. Our scalable AWS architecture offers real-time visibility and customizable solutions for online LLM monitoring, including tracking semantic similarity metrics with embeddings.
New NVIDIA RTX 500 and 1000 Ada Generation Laptop GPUs offer powerful AI acceleration for professionals on the go, boosting productivity and efficiency across industries. Enhanced with NPU and RTX GPU, these GPUs deliver up to 14x generative AI performance, 3x faster photo editing, and 10x graphics performance compared to CPU-only configurations.
MIT researchers developed a deep-learning model to decongest robotic warehouses, improving efficiency by nearly four times. Their innovative approach could revolutionize complex planning tasks beyond warehouse operations.
MIT's LIDS receives $1.36M ARC grant for AI-driven smart grid modeling project. Collaboration with universities and startups to revolutionize energy sector with generative AI models and HILLTOP+ platform.
MIT Media Lab students created Pienso to detect cyberbullying, misinformation, and more without coding. White House demo led to empowering domain experts for AI success.
Explore the complex yet effective Hierarchical Navigable Small World (HNSW) approach for fast nearest neighbour search. Journey through the history and intricacies of HNSW to understand its high-speed, high-recall capabilities.
Exciting developments in Large Language Models (LLMs) have revolutionized communication, prompting is key to harnessing their in-context learning abilities. Companies like Prompting Llama and GPT-3.5 are leading the way in innovative prompting strategies for LLMs.
Machine learning pitfalls: overfitting, misleading data, hidden variables. Examples include failed Covid prediction models and water quality system. REFORMS checklist introduced to prevent errors in ML-based science.
The Direct Preference Optimization paper introduces a new way to fine-tune foundation models, leading to impressive performance gains with fewer parameters. The method replaces the need for a separate reward model, revolutionizing the way LLMs are optimized.
Article highlights deploying ML models in the cloud, combining CS and DS fields, and overcoming memory limitations in model deployment. Key technologies include Detectron2, Django, Docker, Celery, Heroku, and AWS S3.
Learn what not to do with statistics in this intriguing report by Banks and Boothroyd. Discover how spurious correlations can mislead and the dangers of p-hacking.