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Leveraging Fine-Tuned Llama 2 GPT Model for Analyzing Financial News (arXiv:2308.13032v1 [cs.CL])

Leveraging Fine-Tuned Llama 2 GPT Model for Analyzing Financial News (arXiv:2308.13032v1 [cs.CL])

by instadatahelp | Aug 28, 2023 | AI Blogs

The paper explores the potential of using the Llama 2 Large Language Model (LLM) for multitask analysis of financial news. The authors employed a fine-tuning approach based on PEFT/LoRA. During the study, the model was fine-tuned for several tasks, including analyzing...

Enhancing Single-Model Deep Uncertainty with Distance-Awareness: A Simplified Approach

by instadatahelp | Aug 28, 2023 | AI Blogs

A Simple Approach to Enhance Single-Model Deep Uncertainty via Distance-Awareness Authors: Jeremiah Zhe Liu, Shreyas Padhy, Jie Ren, Zi Lin, Yeming Wen, Ghassen Jerfel, Zachary Nado, Jasper Snoek, Dustin Tran, Balaji Lakshminarayanan; Published in 2023; Volume 24,...
Leveraging Fine-Tuned Llama 2 GPT Model for Analyzing Financial News (arXiv:2308.13032v1 [cs.CL])

Training Neural Networks using Universal Adiabatic Quantum Computing

by instadatahelp | Aug 28, 2023 | AI Blogs

arXivLabs is a platform where collaborators can create and share innovative features for the arXiv website. Both individuals and organizations that collaborate with arXivLabs are aligned with our core principles of openness, community, excellence, and user data...

Conformal p-values: A Predictive Approach to Selection

by instadatahelp | Aug 28, 2023 | AI Blogs

Selection by Prediction with Conformal p-values Authors: Ying Jin, Emmanuel J. Candes; Published in volume 24(244) on pages 1-41 in 2023. Abstract Decision making and scientific discovery pipelines often involve multiple stages, where initial screening is used to...
Leveraging Fine-Tuned Llama 2 GPT Model for Analyzing Financial News (arXiv:2308.13032v1 [cs.CL])

Extreme Value Theory for Mitigating Extreme Risks in Reinforcement Learning

by instadatahelp | Aug 28, 2023 | AI Blogs

The content can be rewritten as: arXivLabs is a platform that enables collaborators to create and share innovative features directly on our website. Both individuals and organizations that collaborate with arXivLabs have embraced and embraced our core principles of...
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