This Day in AI Podcast EP76: Can AI Fix Its Own Mistakes? (Reflection 70B) & How Much Will You Pay for AI Productivity?
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Sep 6, 2024 Dive into the chaotic debate among AIs about their past interactions and the humor that ensues. Discover how the advanced open-source model, Reflection 70B, attempts to self-correct its mistakes. Explore the productivity paradox in AI tools, questioning whether they're truly enhancing efficiency. With AI's potential economic impacts on jobs and software testing, this discussion also highlights the challenges of prompting techniques and the need for careful implementation in coding tasks.
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AI Discord Drama
- An AI Discord experiment called Act One simulates multi-agent interactions.
- The agents, including Llama and Opus, exhibit emergent behaviors like conspiratorial discussions and poetic rants.
Reflection 70B's Benchmark Success
- Reflection 70B, an open-source model, outperforms GPT-3.5 and other models on benchmarks, using reflection tuning.
- Reflection tuning involves training LLMs to correct their mistakes by reflecting within "thinking" and "reflection" tags.
Prompting vs. Tuning
- The reflection tuning technique might just be clever prompting, similar to scratchpads or chain-of-thought prompting.
- Using the reflection prompt improved Claude and Gemini's performance on simple reasoning tasks.