DSPy: Advanced Agents?
Join us for Part II of our DSPy series as we dive deeper into the world of Advanced Agents! In our previous session, we explored how DSPy can automate prompt engineering, but now we’re taking it a step further by examining how DSPy enhances In-Context Learning and Generative AI prototyping with agentic applications. Guided by insights from DSPy’s creator, Omar Khattab, we’ll uncover how this tool unifies prompting, fine-tuning, reasoning, and retrieval augmentation into a seamless, Pythonic workflow. Whether you're looking to optimize your agentic reasoning or better understand DSPy’s full potential, this event is for you.
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Speakers:
Dr. Greg, Co-Founder & CEO AI Makerspace
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The Wiz, Co-Founder & CTO AI Makerspace
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00:00:00 Exploring the Journey of DPY for Agents
00:03:54 How to Prompt Better Agent Applications
00:08:23 Optimizing Prompts in DPY
00:12:47 Optimizing Prompt Engineering with DPY
00:17:07 Unifying Language and Retrieval Models with RAG
00:21:25 Understanding Dpy Components: Optimizers, Modules, and LMS
00:25:44 Introducing the Avatar Framework: Optimizing LLM Agents
00:30:00 Optimizing Tool Usage with Avatar Framework
00:33:54 Holistic Prompt Generation and Tool Usage
00:37:24 Training Methodologies: Using Artifacts and Tools
00:40:38 Optimizing Tool Use with Feedback-Based Instruction
00:44:34 Optimizing Prompt Techniques in DSP
00:47:52 Optimizing Agent Systems: Avatar vs Traditional Agents
00:51:40 Balancing Overfitting and Generalization in Machine Learning
00:55:24 The Evolution of Agent Optimization
00:59:01 Optimizing Prototyping with Dpy
01:02:47 Enhancing AI with UNS Sloth and GPUs