Agent Hype Cycle
The conversation dives into the current state of multi-agent systems, highlighting their position at the bottom of the hype cycle. There's a lively debate about retrieval augmented generation (RAG) and its trajectory, with opinions on whether it's nearing the peak of inflated expectations or heading towards disillusionment. As the discussion unfolds, the speakers ponder what innovations might be on the horizon, hinting at the potential for new models in AI.In this clip
From this podcast
Practical AI
Hyperventilating over the Gartner AI Hype Cycle
Related Questions
What does the future hold for agentic Retrieval-Augmented Generation (RAG)?
What does the future hold for agentic Retrieval-Augmented Generation (RAG) as discussed in the episode Hyperventilating over the Gartner AI Hype Cycle and the clip Agent Hype Cycle?
Do I get it right that a Retrieval Augmented Generation (RAG) system can retrieve data in addition to its training data, as discussed in the episode with Cohere co-founder Nick Frosst on building LLM apps for business?