Reinforcement learning for generative ai: State of the art, opportunities and open research challenges
Abstract Generative Artificial Intelligence (AI) is one of the most exciting developments in
Computer Science of the last decade. At the same time, Reinforcement Learning (RL) has …
Computer Science of the last decade. At the same time, Reinforcement Learning (RL) has …
Generative artificial intelligence: fundamentals
JM Corchado, S López, R Garcia… - ADCAIJ: advances in …, 2023 - revistas.usal.es
Generative language models have witnessed substantial traction, notably with the
introduction of refined models aimed at more coherent user-AI interactions—principally …
introduction of refined models aimed at more coherent user-AI interactions—principally …
The evolution of large language model: Models, applications and challenges
B Sindhu, RP Prathamesh, MB Sameera… - … on Current Trends in …, 2024 - ieeexplore.ieee.org
Large Language Models (LLMs) have attracted a lot of attention due to their success in
natural language processing tasks. This paper provides a thorough overview by examining …
natural language processing tasks. This paper provides a thorough overview by examining …
Epic: Cost-effective search-based prompt engineering of llms for code generation
Large Language Models (LLMs) have seen increasing use in various software development
tasks, especially in code generation. The most advanced recent methods attempt to …
tasks, especially in code generation. The most advanced recent methods attempt to …
FreqMark: Frequency-Based Watermark for Sentence-Level Detection of LLM-Generated Text
The increasing use of Large Language Models (LLMs) for generating highly coherent and
contextually relevant text introduces new risks, including misuse for unethical purposes such …
contextually relevant text introduces new risks, including misuse for unethical purposes such …
The Impact of Prompts on Zero-Shot Detection of AI-Generated Text
K Taguchi, Y Gu, K Sakurai - arxiv preprint arxiv:2403.20127, 2024 - arxiv.org
In recent years, there have been significant advancements in the development of Large
Language Models (LLMs). While their practical applications are now widespread, their …
Language Models (LLMs). While their practical applications are now widespread, their …
Susceptibility of Communities against Low-Credibility Content in Social News Websites
Social news websites, such as Reddit, have evolved into prominent platforms for sharing
and discussing news. A key issue on social news websites sites is the formation of echo …
and discussing news. A key issue on social news websites sites is the formation of echo …
MemeCraft: Contextual and Stance-Driven Multimodal Meme Generation
Online memes have emerged as powerful digital cultural artifacts in the age of social media,
offering not only humor but also platforms for political discourse, social critique, and …
offering not only humor but also platforms for political discourse, social critique, and …
Linguacodus: a synergistic framework for transformative code generation in machine learning pipelines
E Trofimova, E Sataev, A Ustyuzhanin - PeerJ Computer Science, 2024 - peerj.com
In the ever-evolving landscape of machine learning, seamless translation of natural
language descriptions into executable code remains a formidable challenge. This article …
language descriptions into executable code remains a formidable challenge. This article …
From a Lossless (~ 1.5: 1) Compression Algorithm for Llama2 7B Weights to Variable Precision, Variable Range, Compressed Numeric Data Types for CNNs and …
V Liguori - arxiv preprint arxiv:2404.10896, 2024 - arxiv.org
This paper starts with a simple lossless~ 1.5: 1 compression algorithm for the weights of the
Large Language Model (LLM) Llama2 7B [1] that can be implemented in~ 200 LUTs in AMD …
Large Language Model (LLM) Llama2 7B [1] that can be implemented in~ 200 LUTs in AMD …