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Large Language Model-Based Agents for Physical Activity and Cognitive Training: Scoping Review. [PDF]

JMIR AI
Silacci A, Giachetti B, Angelini L, Lopomo NF, Andreoni G, Mugellini E, Cherubini M, Caon M.   +7 more
europepmc   +1 more source

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LLM Stinger: Jailbreaking LLMs Using RL Fine-Tuned LLMs (Student Abstract)

Proceedings of the AAAI Conference on Artificial Intelligence
We introduce LLM Stinger, a novel approach that leverages Large Language Models (LLMs) to automatically generate adversarial suffixes for jailbreak attacks. Unlike traditional methods, which require complex prompt engineering or white-box access, LLM Stinger uses a reinforcement learning (RL) loop to fine-tune an attacker LLM, generating new suffixes ...
Piyush Jha, Arnav Arora, Vijay Ganesh
openaire   +1 more source

Sustainable Llms

ITNOW
Abstract Researchers from King's College London explore how machine learning professionals perceive and engage with environmental sustainability in their daily work. Martin Cooper MBCS reports.
openaire   +1 more source

Tuning the mechanical performance efficiently of various LLM-105 based PBXs via bioinspired interfacial reinforcement of polydopamine modification

Composites Part B: Engineering, 2020
Congmei Lin, Xiaona Huang, Feiyan Gong
exaly  

LLM-Profiler

A fine-grained LLM profiler that calculates the algorithmic operations (e.g. ADD, MULT), parameters, cache (buffers) and activations (intermediate output between the layers).
openaire   +1 more source

ECO-LLM: LLM-based Edge Cloud Optimization

Proceedings of the 2024 Workshop on AI For Systems
Kunal Rao, Giuseppe Coviello, Priscilla Benedetti, Ciro Giuseppe De Vita, Gennaro Mellone, Srimat Chakradhar   +5 more
openaire   +1 more source

An Electrospun Preparation of the NC/GAP/Nano-LLM-105 Nanofiber and Its Properties

Nanomaterials, 2019
Yi Wang
exaly