STORM: An AI-Powered Writing System for the Synthesis of Topic Outlines through Retrieval and Multi-perspective Question Asking
Generating comprehensive and detailed outlines for long-form articles, such as those on Wikipedia, poses a significant challenge. Traditional approaches often do not capture the full depth of a topic, leading…
This AI Paper Introduces TelecomGPT: A Domain-Specific Large Language Model for Enhanced Performance in Telecommunication Tasks
Telecommunications involves the transmission of information over distances to communicate. It encompasses various technologies like radio, television, satellite, and the internet, enabling voice, data, and video transmission. This field is…
Meet Parley: An AI-Powered Startup Helping Immigration Lawyers Write Visa Applications Using AI
The United States’ immigration system is notoriously difficult. Lottery systems, outrageous costs, and unending paperwork are things that everyone trying to get a work or immigration visa will tell you…
Mistral AI Unveils Mathstral 7B and Math Fine-Tuning Base: Achieving 56.6% on MATH and 63.47% on MMLU, Restructuring Mathematical Discovery
Mistral AI announces the release of its latest model, the Mathstral model. This new model is specifically designed for mathematical reasoning and scientific discovery. Named as a tribute to Archimedes,…
Hugging Face Introduces SmolLM: Transforming On-Device AI with High-Performance Small Language Models from 135M to 1.7B Parameters
Hugging Face has recently released SmolLM, a family of state-of-the-art small models designed to provide powerful performance in a compact form. The SmolLM models are available in three sizes: 135M,…
Revolutionizing Cellular Analysis: Deep Visual Proteomics Integrates AI and Mass Spectrometry for Advanced Phenotyping
Deep Visual Proteomics: Integrating AI and Mass Spectrometry for Cellular Phenotyping: Deep Visual Proteomics (DVP) revolutionizes the analysis of cellular phenotypes by combining advanced microscopy, AI, and ultra-sensitive mass spectrometry…
COCOM: An Effective Context Compression Method that Revolutionizes Context Embeddings for Efficient Answer Generation in RAG
One of the central challenges in Retrieval-Augmented Generation (RAG) models is efficiently managing long contextual inputs. While RAG models enhance large language models (LLMs) by incorporating external information, this extension…
Aurora Atmosphere Model is 5,000x Faster Than Traditional Systems
While the onset of human-driven climate change brings with it many horrors, the increase in the frequency and strength of storms poses an enormous threat to communities across the globe.…
ChartGemma: A Multimodal Model Instruction-Tuned on Data Generated Directly from a Diverse Range of Real-World Chart Images
Charts are essential tools in various fields, but current models for chart understanding have limitations. They often rely on data tables rather than visual patterns and use weakly aligned vision-language…
Harnessing Physics for Remote Sensing Precision: PNNL’s AI Breakthrough
Scientists observe Earth and other planetary bodies via remote sensing satellites that detect and record reflected energy. However, as sunlight travels in space it interacts with various atmospheric components, such…