Generative AI Weekly Research Highlights | Sep'23 Part 1 | Explainability for LLMs, TradeGPT..

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Explainability for Large Language Models: A Survey [https://arxiv.org/pdf/2309.01029.pdf]

FLM-101B: An Open LLM and How to Train It with $100K Budget [https://arxiv.org/pdf/2309.03852.pdf]

Large language models in medicine: the potentials and pitfalls [https://arxiv.org/ftp/arxiv/papers/23...]

Benchmarking Large Language Models in Retrieval-Augmented Generation [https://arxiv.org/pdf/2309.01431.pdf]

"Hide and Seek (HaS): A Lightweight Framework for Prompt Privacy Protection" [https://arxiv.org/pdf/2309.03057.pdf]

"LARGE LANGUAGE MODELS AS OPTIMIZERS" [https://arxiv.org/pdf/2309.03409.pdf]

OpinionGPT: Modelling Explicit Biases in Instruction-Tuned LLMs [https://arxiv.org/pdf/2309.03876.pdf]

TRADINGGPT: Multi-Agent System with Layered Memory and Distinct Characters for Enhanced Financial Trading Performance [https://arxiv.org/pdf/2309.03736.pdf]

#generativeai,#promptengineering,#largelanguagemodels,#openai,#chatgpt,#gpt4,#ai,#abcp,#prompt,#responsibleai,