Explainability, Reasoning, Priors and GPT-3
Machine Learning Street Talk (MLST)
Unpacking Neural Network Reasoning and Intelligence Challenges
This chapter delves into the challenges of implementing neural networks in high-frequency trading, highlighting the trade-offs of using technologies like FPGAs. It also examines the reasoning in AI, using AlphaZero as an example, and stresses the importance of algorithms generalizing from minimal data to effectively solve complex problems.
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