It took a massive financial investment for the first large language models (LLMs) to be created. Did their corporate backers lock these tools away for all but the richest? No. They provided comodity priced API options for using them. Anyone can talk to Chat GPT or Bing. What if you want to go a step beyond that and do something programatic? Kyle explores your options in this episode.
Video Anomaly Detection
Fault Tolerant Distributed Gradient Descent
Decentralized Information Gathering
Leaderless Consensus
Automatic Summarization
Gerrymandering
Even Cooperative Chess is Hard
Consecutive Votes in Paxos
Visual Illusions Deceiving Neural Networks
Earthquake Detection with Crowd-sourced Data
Byzantine Fault Tolerant Consensus
Alpha Fold
Arrow's Impossibility Theorem
Face Mask Sentiment Analysis
Counting Briberies in Elections
Sybil Attacks on Federated Learning
Differential Privacy at the US Census
Distributed Consensus
ACID Compliance
National Popular Vote Interstate Compact
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