A comprehensive overview of large language models
Large Language Models (LLMs) have recently demonstrated remarkable capabilities in
natural language processing tasks and beyond. This success of LLMs has led to a large …
natural language processing tasks and beyond. This success of LLMs has led to a large …
A survey on large language model based autonomous agents
Autonomous agents have long been a research focus in academic and industry
communities. Previous research often focuses on training agents with limited knowledge …
communities. Previous research often focuses on training agents with limited knowledge …
A survey of large language models
Language is essentially a complex, intricate system of human expressions governed by
grammatical rules. It poses a significant challenge to develop capable AI algorithms for …
grammatical rules. It poses a significant challenge to develop capable AI algorithms for …
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
G Team, P Georgiev, VI Lei, R Burnell, L Bai… - arxiv preprint arxiv …, 2024 - arxiv.org
In this report, we introduce the Gemini 1.5 family of models, representing the next generation
of highly compute-efficient multimodal models capable of recalling and reasoning over fine …
of highly compute-efficient multimodal models capable of recalling and reasoning over fine …
C-pack: Packed resources for general chinese embeddings
We introduce C-Pack, a package of resources that significantly advances the field of general
text embeddings for Chinese. C-Pack includes three critical resources. 1) C-MTP is a …
text embeddings for Chinese. C-Pack includes three critical resources. 1) C-MTP is a …
Harnessing the power of llms in practice: A survey on chatgpt and beyond
This article presents a comprehensive and practical guide for practitioners and end-users
working with Large Language Models (LLMs) in their downstream Natural Language …
working with Large Language Models (LLMs) in their downstream Natural Language …
In-context retrieval-augmented language models
Abstract Retrieval-Augmented Language Modeling (RALM) methods, which condition a
language model (LM) on relevant documents from a grounding corpus during generation …
language model (LM) on relevant documents from a grounding corpus during generation …
Augmented language models: a survey
This survey reviews works in which language models (LMs) are augmented with reasoning
skills and the ability to use tools. The former is defined as decomposing a potentially …
skills and the ability to use tools. The former is defined as decomposing a potentially …
Toolqa: A dataset for llm question answering with external tools
Abstract Large Language Models (LLMs) have demonstrated impressive performance in
various NLP tasks, but they still suffer from challenges such as hallucination and weak …
various NLP tasks, but they still suffer from challenges such as hallucination and weak …
Retrieval-augmented generation for large language models: A survey
Y Gao, Y **ong, X Gao, K Jia, J Pan, Y Bi, Y Dai… - arxiv preprint arxiv …, 2023 - arxiv.org
Large language models (LLMs) demonstrate powerful capabilities, but they still face
challenges in practical applications, such as hallucinations, slow knowledge updates, and …
challenges in practical applications, such as hallucinations, slow knowledge updates, and …