Published Apr 10, 2024

RAG continues to rise

Delve into the growing challenges of AI community fragmentation and dataset evaluation with insights from Demetrios Brinkmann, while exploring the sustainability of current transformer models and the tantalizing potential of neuromorphic computing for future AI development.

Episode Highlights

Topics covered

Episode Highlights

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Dexa/Demetrios Brinkmann

RAG continues to rise

Topics covered

Popular Clips

Enterprise AI Trends

AI Redundancy Strategies

Community Dynamics

Future AI Trends

Neuromorphic Computing Insights

Future of AI Models

Open Language Models

AI Budget Insights

Data Evaluation Challenges

Practical AI Wrap-Up

AI Fine Tuning

AI Quality Conference

AI Community Challenges

Episode Highlights

Community Dynamics

Data Evaluation Challenges

Future AI Models

Related Episodes

RAG Has Been Oversimplified // Yujian Tang // #206

Retrieval Augmented Generation

AI's Next Frontier // Aditya Naganath // #277

RAG Quality Starts with Data Quality // Adam Kamor // #262

Machine Learning, AI Agents, and Autonomy // Egor Kraev // #282

GenAI in Production - Challenges and Trends // Verena Weber // #224

Extending AI: From Industry to Innovation // Sophia Rowland & David Weik // #246

Navigating Machine Learning Careers: Insights from Meta to Consulting // Ilya Reznik // #286

The Real E2E RAG Stack // Sam Bean // #217

[Bonus Episode] Practical AI x MLOps // Demetrios Brinkmann, Mihail Eric, Daniel Whitenack and Chris Benson

Exploring the Impact of Agentic Workflows // Raj Rikhy // #268

Exploring AI Agents: Voice, Visuals, and Versatility // Panel // Agents in Production

AI in Healthcare // Eric Landry // #249

MLOps for GenAI Applications // Harcharan Kabbay // #256

AI Operations Without Fundamental Engineering Discipline // Nikhil Suresh // #250

RAG continues to rise

Topics covered

Popular Clips

Episode Highlights

Community DynamicsThe fragmentation of AI communities and platform dependencies pose challenges in developing consistent best practices. These issues highlight the need for more unified approaches to knowledge sharing and industry standards.

Community Dynamics

Data Evaluation ChallengesDemetrios Brinkmann discusses the challenges of human-curated datasets and iteration speed in AI model evaluation. He highlights the lack of consensus and guidance, which complicates the process for teams.

Data Evaluation Challenges

Future AI Models

Related Episodes