Generative AI Weekly Research Highlights | Dec'23 Part 4

Disclaimer: The content in this video is AI-generated and adheres to YouTube's guidelines. Each video undergoes manual review and curation before publishing to ensure accuracy and quality.

1. Retrieval-Augmented Generation for Large Language Models: A Survey [\[link\]](https://arxiv.org/pdf/2312.10997.pdf)

2. Benchmarking Large Language Models in Retrieval-Augmented Generation [\[link\]](https://arxiv.org/pdf/2309.01431.pdf)

3. A Comprehensive Survey of Attack Techniques, Implementation, and Mitigation Strategies in Large Language Models [\[link\]](https://arxiv.org/pdf/2312.10982.pdf)

4. Opportunities and Challenges of Applying Large Language Models in Building Energy Efficiency and Decarbonization Studies: An Exploratory Overview [\[link\]](https://arxiv.org/ftp/arxiv/papers/23...)

5. An Open-Source Data Contamination Report for Large Language Models [\[link\]](https://arxiv.org/pdf/2310.17589.pdf)

6. ChainForge: A Visual Toolkit for Prompt Engineering and LLM Hypothesis Testing [\[link\]](https://arxiv.org/pdf/2309.09128.pdf)

7. Silent Guardian: Protecting Text from Malicious Exploitation by Large Language Models [\[link\]](https://arxiv.org/pdf/2312.09669.pdf)

8. GenAIPABench: A Benchmark for Generative AI-based Privacy Assistants [\[link\]](https://arxiv.org/pdf/2309.05138.pdf)

00:00 Intro

00:21 Enhancing LLMs with Retrieval Augmentation

00:50 Benchmarking Retrieval Augmentation

01:13 Securing LLMs Against Attacks

01:35 LLMs in Energy Efficiency and Decarbonization

01:55 Tackling Data Contamination in LLM Evaluation

02:15 Prompt Engineering with ChainForge

02:37 Silent Guardian: Protecting Text Data

02:56 Evaluating AI in Privacy Assistance

03:23 End

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