diff --git a/index.md b/index.md index 40538af..7100cd0 100644 --- a/index.md +++ b/index.md @@ -138,7 +138,7 @@ Large language models (LLMs) have revolutionized a wide range of domains. In par |--------|-------|-------| | Sept 9 | **LLM Reasoning**
Denny Zhou, Google DeepMind
[Livestream](https://www.youtube.com/live/QL-FS_Zcmyo) Intro Slides [Quiz 1](https://forms.gle/1pb6nkwZPyUqvFPe6) | - [Chain-of-Thought Reasoning Without Prompting](https://arxiv.org/abs/2402.10200)
- [Large Language Models Cannot Self-Correct Reasoning Yet](https://arxiv.org/abs/2310.01798)
- [Premise Order Matters in Reasoning with Large Language Models](https://arxiv.org/abs/2402.08939)
- [Chain-of-Thought Empowers Transformers to Solve Inherently Serial Problems](https://arxiv.org/abs/2402.12875) | | Sept 16 | **LLM agents: brief history and overview**
Shunyu Yao, OpenAI
[Livestream](https://www.youtube.com/watch?v=RM6ZArd2nVc) Slides [Quiz 2](https://forms.gle/t9ictrAjxTrWd9tr6) | - [WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents](https://arxiv.org/abs/2207.01206)
- [ReAct: Synergizing Reasoning and Acting in Language Models](https://arxiv.org/abs/2210.03629) | -| Sept 23 | **Agentic AI Frameworks & AutoGen**
Chi Wang, AutoGen-AI
**Building a Multimodal Knowledge Assistant**
Jerry Liu, LlamaIndex
[Livestream](https://www.youtube.com/live/OOdtmCMSOo4) | - [AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation](https://arxiv.org/abs/2308.08155)
- [StateFlow: Enhancing LLM Task-Solving through State-Driven Workflows](https://arxiv.org/abs/2403.11322) | +| Sept 23 | **Agentic AI Frameworks & AutoGen**
Chi Wang, AutoGen-AI
**Building a Multimodal Knowledge Assistant**
Jerry Liu, LlamaIndex
[Livestream](https://www.youtube.com/live/OOdtmCMSOo4) Chi's Slides Jerry's Slides | - [AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation](https://arxiv.org/abs/2308.08155)
- [StateFlow: Enhancing LLM Task-Solving through State-Driven Workflows](https://arxiv.org/abs/2403.11322) | | Sept 30 | **Enterprise trends for generative AI, and key components of building successful agents/applications**
Burak Gokturk, Google | - [Google Cloud expands grounding capabilities on Vertex AI](https://cloud.google.com/blog/products/ai-machine-learning/rag-and-grounding-on-vertex-ai?e=48754805)
- [The Needle In a Haystack Test: Evaluating the performance of RAG systems](https://towardsdatascience.com/the-needle-in-a-haystack-test-a94974c1ad38)
- [The AI detective: The Needle in a Haystack test and how Gemini 1.5 Pro solves it](https://cloud.google.com/blog/products/ai-machine-learning/the-needle-in-the-haystack-test-and-how-gemini-pro-solves-it?e=48754805) | | Oct 7 | **Compound AI Systems & the DSPy Framework**
Omar Khattab, Databricks | | | Oct 14 | **Agents for Software Development**
Graham Neubig, Carnegie Mellon University | |