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Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models
#prompt_engineering #llm #zero_shot / auto #CoT
https://arxiv.org/abs/2304.11657v2

Optimal operation of cryogenic calorimeters through deep reinforcement learning
G. Angloher, et al.
Max-Planck-Institut für Physik, Germany

https://arxiv.org/abs/2311.15147
For Developers
https://youtu.be/-AB7b-XGaCU?si=I7sMBTvPb86JuSw6&t=496 #forecast #grok #tesla #team #forecast #prediction #agi #open #llm #llama #vs #falcon #meta #team https://arxiv.org/abs/2311.16867
#team #berkeley #rag #haystack #haystack_ai

The Shift from Models to Compound AI Systems
https://bair.berkeley.edu/blog/2024/02/18/compound-ai-systems/

claims:
- SOTA results are increasingly obtained by AI systems with multiple components instead of monolithic models
- Key trends in 2024 and beyond