Generative AI Weekly Research Highlights | Sep'23 Part 4

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To delve deeper, here are the respective links:

"Large Language Model Alignment: A Survey" [https://arxiv.org/pdf/2309.15025.pdf]

"QA-LORA: QUANTIZATION-AWARE LOW-RANK ADAPTATION OF LARGE LANGUAGE MODELS" [https://arxiv.org/pdf/2309.14717.pdf]

"QWEN TECHNICAL REPORT" [https://arxiv.org/pdf/2309.16609.pdf]

"LLMCARBON: MODELING THE END-TO-END CARBON FOOTPRINT OF LARGE LANGUAGE MODELS" [https://arxiv.org/pdf/2309.14393.pdf]

"HOW TO CATCH AN AI LIAR: LIE DETECTION IN BLACK-BOX LLMS BY ASKING UNRELATED QUESTIONS" [https://arxiv.org/pdf/2309.15840.pdf]

"LawBench: Benchmarking Legal Knowledge of Large Language Models" [https://arxiv.org/pdf/2309.16289.pdf]

"HuntGPT: Integrating Machine Learning-Based Anomaly Detection and Explainable AI with Large Language Models (LLMs)" [https://arxiv.org/pdf/2309.16021.pdf]

"ChatCounselor: A Large Language Models for Mental Health Support" [https://arxiv.org/pdf/2309.15461.pdf]

00:00 Intro

00:17 LLM Alignment Techniques

00:51 Quantization-Aware LLM Adaptation

01:04 Qwen: A Robust LLM Series

01:20 LLM Carbon Footprint Estimator

01:37 LLM Lie Detector

01:54 LawBench: Legal Proficiency of LLMs

02:09 Cybersecurity with Machine Learning Anomaly Detection

02:28 Chat Counselor: Psychological Support LLM

02:52 End

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