Published Sep 19, 2023

Trends in LLM Applications that Every AI Engineer Should Know

Patrick Chase and Jacob Effron delve into game-changing trends in AI with Jerry Liu, exploring advanced agent design strategies, innovative retrieval augmented generation techniques, and the evolution of LlamaIndex to enhance LLM applications for enterprise settings.

Episode Highlights

Topics covered

Episode Highlights

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Dexa/Unsupervised Learning

Trends in LLM Applications that Every AI Engineer Should Know

Topics covered

Popular Clips

Reasoning vs. Knowledge

Enhanced Retrieval Techniques

Community Resources Unleashed

RAG vs. Fine Tuning

Naming Dilemmas

Ecosystem of Choices

Recursive Retrieval Insights

Enterprise Product Challenges

AI Trends Unpacked

Evolving LLM Applications

Productionizing LLMs

Balancing Innovation and Stability

Customization in Development

Fine Tuning Insights

Effective Agent Design

Episode Highlights

Agent Design Strategies

Retrieval Augmented Generation

Evolving LlamaIndex

Related Episodes

Ep 18: LlamaIndex CEO Jerry Liu on Trends in LLM Applications

How to Think about Building an AI Startup in 2023

Ep 4: Fixie.ai CEO Matt Welsh on How LLMs Will Change the Way We Work

Ep 11: Stanford Professor Tatsu Hashimoto on AI Biases and Improving LLM Performance

Ep 17: Nomic AI Co-Founder Andriy Mulyar on "GPT-4-All", LLMs in Video Games, and Apple's AI Strategy

15-Year Data Veteran Is Reimagining Development in the Cloud

Ep 28: LangChain CEO Harrison Chase on the Current State of Eval and Agents and The LLM Apps that Will Define 2024

Ep 2: Databricks CTO Matei Zaharia on scaling and orchestrating large language models

The GenAI Startup Trying to Replace PowerPoint

A Full Deep Dive Into Notion AI

Ep 34: Eric Ries and Jeremy Howard (Answer.ai) on the Biggest Mistakes AI Founders are Making and Building the Bell Labs of AI

Ep 29: Salesforce AI CEO Clara Shih on Future of Slack, How Gucci Uses AI and Working with Marc Benioff

Leading AI Scientist Discusses Elon Musk, Thought Cloning, and Open-Source Models

Adobe’s 10 Year Vision for AI-Powered Content Creation

Ep 33: CTO and Co-Founder of Sourcegraph on Current Landscape and Future of Software Development, How to Make RAG Better, and Building Towards the Agentic Future

Trends in LLM Applications that Every AI Engineer Should Know

Topics covered

Popular Clips

Episode Highlights

Agent Design StrategiesJerry Liu discusses practical strategies for enhancing agent effectiveness and explores the evolving capabilities of AI agents. He highlights the importance of prompt engineering and the balance between innovation and stability in developing reliable applications.

Agent Design Strategies

Retrieval Augmented GenerationJerry Liu, CEO of LlamaIndex, discusses advanced retrieval techniques and the balance between retrieval augmented generation (RAG) and fine-tuning. He explores how these methods can optimize large language model applications, enhancing both efficiency and control.

Retrieval Augmented Generation

Evolving LlamaIndexJerry Liu, CEO of LlamaIndex, discusses the motivations and challenges in building enterprise-ready LLM applications. He explores the evolution of LlamaIndex, focusing on its foundational ideas, development features, and future trends within the AI ecosystem.

Evolving LlamaIndex

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