A survey on large language models: Applications, challenges, limitations, and practical usage
Within the vast expanse of computerized language processing, a revolutionary entity known
as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to …
as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to …
Craft: Customizing llms by creating and retrieving from specialized toolsets
Large language models (LLMs) are often augmented with tools to solve complex tasks. By
generating code snippets and executing them through task-specific Application …
generating code snippets and executing them through task-specific Application …
Cobra: Extending mamba to multi-modal large language model for efficient inference
In recent years, the application of multimodal large language models (MLLM) in various
fields has achieved remarkable success. However, as the foundation model for many …
fields has achieved remarkable success. However, as the foundation model for many …
Macaw-llm: Multi-modal language modeling with image, audio, video, and text integration
Although instruction-tuned large language models (LLMs) have exhibited remarkable
capabilities across various NLP tasks, their effectiveness on other data modalities beyond …
capabilities across various NLP tasks, their effectiveness on other data modalities beyond …
Mllm-bench, evaluating multi-modal llms using gpt-4v
In the pursuit of Artificial General Intelligence (AGI), the integration of vision in language
models has marked a significant milestone. The advent of vision-language models (MLLMs) …
models has marked a significant milestone. The advent of vision-language models (MLLMs) …
Sphinx-x: Scaling data and parameters for a family of multi-modal large language models
We propose SPHINX-X, an extensive Multimodality Large Language Model (MLLM) series
developed upon SPHINX. To improve the architecture and training efficiency, we modify the …
developed upon SPHINX. To improve the architecture and training efficiency, we modify the …
The (r) evolution of multimodal large language models: A survey
Connecting text and visual modalities plays an essential role in generative intelligence. For
this reason, inspired by the success of large language models, significant research efforts …
this reason, inspired by the success of large language models, significant research efforts …
Advancing transformer architecture in long-context large language models: A comprehensive survey
With the bomb ignited by ChatGPT, Transformer-based Large Language Models (LLMs)
have paved a revolutionary path toward Artificial General Intelligence (AGI) and have been …
have paved a revolutionary path toward Artificial General Intelligence (AGI) and have been …
Benchmarking large language model capabilities for conditional generation
J Maynez, P Agrawal, S Gehrmann - arXiv preprint arXiv:2306.16793, 2023 - arxiv.org
Pre-trained large language models (PLMs) underlie most new developments in natural
language processing. They have shifted the field from application-specific model pipelines …
language processing. They have shifted the field from application-specific model pipelines …
Rethinking mobile AI ecosystem in the LLM era
J Yuan, C Yang, D Cai, S Wang, X Yuan… - arXiv preprint arXiv …, 2023 - arxiv.org
In today's landscape, smartphones have evolved into hubs for hosting a multitude of deep
learning models aimed at local execution. A key realization driving this work is the notable …
learning models aimed at local execution. A key realization driving this work is the notable …