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27min chapter
#173 - Gemini Pro, Llama 400B, Gen-3 Alpha, Moshi, Supreme Court
Last Week in AI
Innovative Approaches in AI Research: Ternary Values, Agent Benchmarking, and Synthetic Data Generation
This chapter explores cutting-edge developments in AI research, including the use of ternary values to replace matrix multiplication in language models, challenges in evaluating agent performance with cost considerations, optimizing reinforcement learning with weight averaged policies, generating synthetic data using diverse personas, and addressing attention biases in long inputs to language models with a calibration mechanism.
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