Bridging Policy and Practice: Transparency Reporting in Core Models
Foundation models have emerged as transformative digital technologies, introducing new capabilities and risks that have captured unprecedented public attention. However, ...
Tag: models
Voyage AI introduces Voyage-3 and Voyage-3-Lite: a new generation of small embedded models that outperforms large OpenAI v3 by 7.55%
Voyage ai is proud to announce the launch of its next generation of embedded models, Trip-3 and Trip-3-Lite. The Voyage-3 ...
Microsoft researchers present advanced query categorization system to improve accuracy of large language models and reduce hallucinations in specialized fields
Large language models (LLMs) have revolutionized the field of ai with their ability to generate human-like text and perform complex ...
Is scalability the only path to AI supremacy? This AI paper reveals the “lurking ghost” of big language and vision models
Large language and vision models (LLVMs) face a critical challenge in balancing performance improvements with computational efficiency. As models increase ...
Are small language models really the future of language models? Allen Institute for Artificial Intelligence (Ai2) launches Molmo: a family of open-source multimodal language models
Multimodal models represent a significant advancement in ai, as they enable systems to process and understand data from multiple sources, ...
Minish Lab releases Model2Vec: an AI tool to extract small, super-fast models from any sentence transformer
Minish Lab was recently introduced Model2Veca revolutionary tool designed to distill smaller and faster models from any Sentence Transformer. With ...
Google AI launches two updated, production-ready Gemini models: Gemini-1.5-Pro-002 and Gemini-1.5-Flash-002 with improved performance and lower costs
Google has just released an interesting update to its Gemini models with the launch Gemini-1.5-Pro-002 and Gemini-1.5-Flash-002offering production-ready versions, reduced ...
Trust-Align: An AI Framework for Improving the Reliability of Recall-Augmented Generation in Large Language Models
Large language models (LLMs) have gained significant attention due to their potential to improve various ai applications, particularly in natural ...
Spike Network Optimization Using Population Statistics (SNOPS): A machine learning-powered framework that can quickly and accurately customize models that reproduce activity to mimic what is observed in the brain
Building massive neural network models that replicate brain activity has long been a cornerstone of computational neuroscience efforts to understand ...
Improving large language models with diverse instructional data: A clustering and iterative refinement approach
Large language models (LLMs) have become a fundamental part of artificial intelligence, as they enable systems to understand, generate, and ...
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