Meet Hydragen: An Exact Hardware-Based Attention Implementation with Shared Prefixes
As artificial intelligence continues to permeate all facets of technology, optimizing the performance of large language models (LLMs) for practical ...
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Meet TravelPlanner: a comprehensive AI benchmark designed to evaluate the planning capabilities of language agents in real-world scenarios in multiple dimensions
One of the most intriguing challenges is enabling ai agents to emulate human-like planning capabilities. Such capabilities would allow these ...
Meet MFLES: a Python library designed to improve forecast accuracy in the face of multiple seasonality challenges
One of the main obstacles to achieving high forecast accuracy is handling data with multiple seasonality patterns. This means that ...
Meet Hawkeye: A Unified Deep Learning-Based Detailed Image Recognition Toolbox Built on PyTorch
In recent years, notable advances in the design and training of deep learning models have led to significant improvements in ...
Meet MouSi: a novel polyvisual system that faithfully reflects the complex and multidimensional nature of biological visual processing
Current challenges facing large vision and language models (VLMs) include limitations in the capabilities of individual visual components and problems ...
Meet Dolma: An English Open Corpus of 3T Tokens for Pre-Training Linguistic Model Research
Large language models (LLMs) are a recent trend as these models have gained significant importance in handling natural language processing ...
Meet UniDep: a tool that streamlines Python project dependency management by unifying Conda and Pip packages into a single system
Managing dependencies in Python projects can often be daunting, especially when dealing with a mix of Python and non-Python packages. ...
Meet OLMo (Open Language Model): A New Artificial Intelligence Framework to Promote Transparency in the Field of Natural Language Processing (NLP)
With the increasing complexity and capability of artificial intelligence (ai), its latest innovation, i.e. Large Language Models (LLM), has demonstrated ...
Meet Time-LLM: a reprogramming machine learning framework to reuse LLMs for general time series forecasting while keeping host language models intact
In the rapidly evolving data analytics landscape, the search for robust time series forecasting models has taken a novel turn ...
Meet Eagle 7B: a 7.52B-parameter AI model built on the RWKV-v5 architecture and trained with 1.1T tokens in 100+ languages
With the growth of ai, large language models also began to be studied and used in all fields. These models ...
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