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Lamini, an Enterprise AI platform, makes it possible for software teams within enterprises to develop new LLM capabilities that reduce hallucinations on proprietary data, run their LLMs securely from cloud VPCs to on-premise, and scale their infrastructure with model evaluations that prioritize ROI and business outcomes over hype. It raised a $25M Series A led by Amplify Partners.
OpenAI is reportedly planning a major announcement on May 9, possibly unveiling a new search engine that could challenge Google. This engine may use Microsoft Bing's infrastructure, aligning with OpenAI CEO Sam Altman's vision of revolutionizing information discovery beyond the current Google model. If true, this could significantly disrupt the search engine market and how users find information online.
Dr. Brenden Lake of NYU aims to bridge human cognitive studies and AI by recording his daughter's POV to develop a language model, challenging the current AI approach that relies heavily on large datasets. This work explores how AI can learn from the sensory input akin to a toddler's experience. The research could lead to AI capable of conceptual mapping through association, similar to human language acquisition.
A novel dataset and trained visual language model that enables higher quality instruction following over multiple images.
FeNNol is a cutting-edge library that simplifies the creation and deployment of hybrid neural network potentials for molecular simulations.
Spider is a novel unified model designed to enhance the understanding of context-dependent (CD) concepts such as camouflaged objects and medical lesions, which depend heavily on visual context.
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Many modern performance benchmarks rely on GPT-4 as a judge of generation quality. Prometheus is a model built on top of Mistral that performs extremely well on this task.
Researchers have developed a new algorithm called RaffeSDG that improves the accuracy of medical imaging models when analyzing data from different sources.
Bonito is a model and toolkit designed to take unstructured text as input and create certain types of instruction datasets like question answering, instructions, and summarization.
Recent AI-powered hardware launches, like the Humane Pin and Rabbit R1, have faced criticism, yet there's still significant venture capital and interest in the sector, with prominent figures like Sam Altman eyeing substantial investments. The allure lies in AI's potential to revolutionize consumer hardware by utilizing sensors, silicon, and interfaces creatively. However, the challenge to offer a compelling alternative to versatile smartphones remains, with AI still needing to mature and hardware startups struggling to compete with established tech giants.
Penzai, a JAX library, enables easy manipulation and understanding of trained models through legible, functional Pytree structures. It includes a diverse set of tools for model visualization, debugging, and component analysis. Installation and usage are straightforward, with detailed tutorials available for learning to build and manipulate neural networks using Penzai.
This deep dive tutorial walks through how to build a system that reports on car traffic density. It uses modern computer vision to count vehicles over time.
A great new dataset from Google that contains detailed and comprehensive labels.
The U.S. Air Force is aggressively moving towards an AI-enabled fleet of over 1,000 unmanned warplanes, with operational capability expected by 2028.
AI-powered talent sourcing.