From 44cafeb27da07fa41596b635b6010ac6c4d34b0b Mon Sep 17 00:00:00 2001
From: Tara S Pande <38411006+TaraSPande@users.noreply.github.com>
Date: Mon, 30 Sep 2024 12:12:45 -0700
Subject: [PATCH] add L4 URL
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index.md | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
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index 9fa56ee..cf1327c 100644
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@@ -139,7 +139,7 @@ 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) Chi's Slides Jerry's Slides [Quiz 3](https://forms.gle/osuDEXRmDHJvLi1T7) | - [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) |
+| Sept 30 | **Enterprise trends for generative AI, and key components of building successful agents/applications**
Burak Gokturk, Google
[Livestream](https://www.youtube.com/live/Sy1psHS3w3I) | - [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 | - [Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs](https://arxiv.org/abs/2406.11695)
- [Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together](https://arxiv.org/abs/2407.10930) |
| Oct 14 | **Agents for Software Development**
Graham Neubig, Carnegie Mellon University | |
| Oct 21 | **Agent for Workflow Applications**
Nicolas Chapados, ServiceNow | |