Update index.md

index.md

@@ -136,8 +136,8 @@ Large language models (LLMs) have revolutionized a wide range of domains. In par
 
 | Date   | Guest Lecture <br> (3:00PM-5:00PM PST) | Supplemental Readings | 
 |--------|-------|-------|
-| Sept 9 | **LLM Reasoning** <br> Denny Zhou, Google DeepMind <br> [Livestream](https://www.youtube.com/live/QL-FS_Zcmyo) <a href="https://rdi.berkeley.edu/llm-agents-mooc/slides/intro.pdf" download="intro">Intro</a> <a href="https://rdi.berkeley.edu/llm-agents-mooc/slides/llm-reasoning.pdf" download="intro">Slides</a> [Quiz 1](https://forms.gle/1pb6nkwZPyUqvFPe6) | - [Chain-of-Thought Reasoning Without Prompting](https://arxiv.org/abs/2402.10200) <br> - [Large Language Models Cannot Self-Correct Reasoning Yet](https://arxiv.org/abs/2310.01798) <br> - [Premise Order Matters in Reasoning with Large Language Models](https://arxiv.org/abs/2402.08939) <br> - [Chain-of-Thought Empowers Transformers to Solve Inherently Serial Problems](https://arxiv.org/abs/2402.12875) |   
-| Sept 16 | **LLM agents: brief history and overview** <br> Shunyu Yao, OpenAI <br> [Livestream](https://www.youtube.com/live/m7eqq25WLww) <a href="https://rdi.berkeley.edu/llm-agents-mooc/slides/llm-agent-history.pdf">Slides</a> | - [WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents](https://arxiv.org/abs/2207.01206) <br> - [ReAct: Synergizing Reasoning and Acting in Language Models](https://arxiv.org/abs/2210.03629)  |          
+| Sept 9 | **LLM Reasoning** <br> Denny Zhou, Google DeepMind <br> [Livestream](https://www.youtube.com/live/QL-FS_Zcmyo) <a href="https://rdi.berkeley.edu/llm-agents-mooc/slides/intro.pdf">Intro</a> <a href="https://rdi.berkeley.edu/llm-agents-mooc/slides/llm-reasoning.pdf">Slides</a> [Quiz 1](https://forms.gle/1pb6nkwZPyUqvFPe6) | - [Chain-of-Thought Reasoning Without Prompting](https://arxiv.org/abs/2402.10200) <br> - [Large Language Models Cannot Self-Correct Reasoning Yet](https://arxiv.org/abs/2310.01798) <br> - [Premise Order Matters in Reasoning with Large Language Models](https://arxiv.org/abs/2402.08939) <br> - [Chain-of-Thought Empowers Transformers to Solve Inherently Serial Problems](https://arxiv.org/abs/2402.12875) |   
+| Sept 16 | **LLM agents: brief history and overview** <br> Shunyu Yao, OpenAI <br> [Livestream](https://www.youtube.com/live/m7eqq25WLww) <a href="https://rdi.berkeley.edu/llm-agents-mooc/slides/llm_agent_history.pdf">Slides</a> | - [WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents](https://arxiv.org/abs/2207.01206) <br> - [ReAct: Synergizing Reasoning and Acting in Language Models](https://arxiv.org/abs/2210.03629)  |          
 | Sept 23 | **Introduction to Agentic AI and AutoGen** <br> Chi Wang, AutoGen-AI <br> **The Future of Knowledge Assistants** <br> Jerry Liu, LlamaIndex | - [AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation](https://arxiv.org/abs/2308.08155) <br> - [StateFlow: Enhancing LLM Task-Solving through State-Driven Workflows](https://arxiv.org/abs/2403.11322) |          
 | Sept 30 | **Trends of Generative AI with Enterprises, Key blocks to build successful agents** <br> Burak Gokturk, Google |  |          
 | Oct 7 | **Compound AI Systems & the DSPy Framework** <br> Omar Khattab, Databricks |  |