Generative AI Weekly Research Highlights | Nov'23 Part 2
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"A Survey of Large Language Models Attribution" [https://arxiv.org/pdf/2311.03731.pdf]
"Trends in Integration of Knowledge and Large Language Models: A Survey and Taxonomy of Methods, Benchmarks, and Applications" [https://arxiv.org/pdf/2311.05876.pdf]
"A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions" [https://arxiv.org/pdf/2311.05232.pdf]
"Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves" [https://arxiv.org/pdf/2311.04205.pdf]
"S-LORA: SERVING THOUSANDS OF CONCURRENT LORA ADAPTERS" [https://arxiv.org/pdf/2311.03285v2.pdf]
"LONGQLORA: EFFICIENT AND EFFECTIVE METHOD TO EXTEND CONTEXT LENGTH OF LARGE LANGUAGE MODELS" [https://arxiv.org/pdf/2311.04879.pdf]
"Dissecting the Runtime Performance of the Training, Fine-tuning, and Inference of Large Language Models" [https://arxiv.org/pdf/2311.03687.pdf]
"GPT4All: An Ecosystem of Open Source Compressed Language Models" [https://arxiv.org/pdf/2311.04931.pdf]
00:00 Intro
00:19 Attribution in Large Language Models
00:45 Knowledge Integration in LLMs
01:07 Hallucinations in LLMs
01:26 Rephrase and Respond Technique
01:44 ESUR: Efficient AI Model Serving
02:00 Long Context Handling in LLMs
02:15 Performance Optimization in LLMs
02:31 GPT for All: Democratizing LLMs
02:56 End
#generativeai,#promptengineering,#largelanguagemodels,#openai,#chatgpt,#gpt4,#ai,#abcp,#prompt,#responsibleai