Test case: "Find leading economic indicators like bond yield curve from discoverable datasets, and cache retrieved data like or with pandas-datareader"
Use case: Teach Applied ML, NNs, XAI: Explainable AI, and first ethics
Yellowbrick ML; teaches ML concepts with Visualizers for humans working with scikit-learn, which can be used to ensemble LLMs and other NNs because of its Estimator interfaces : https://www.scikit-yb.org/en/latest/
Manim, ManimML, Blender, panda3d, unreal: "Explain this in 3d, with an interactive game"
Khanmigo; "Explain this to me with exercises"
"And Calculate cost of computation, and Identify relatively sustainable lower-cost methods for these computations"
"Identify where this process, these tools, and experts picking algos, hyperparameters, and parameters has introduced biases into the analysis, given input from additional agents"
Use case: Evidence-based policy; impact: https://en.wikipedia.org/wiki/Evidence-based_policy
Test case: "Find leading economic indicators like bond yield curve from discoverable datasets, and cache retrieved data like or with pandas-datareader"
Use case: Teach Applied ML, NNs, XAI: Explainable AI, and first ethics
Tools with integration opportunities:
Google Model Explorer: https://github.com/google-ai-edge/model-explorer
Yellowbrick ML; teaches ML concepts with Visualizers for humans working with scikit-learn, which can be used to ensemble LLMs and other NNs because of its Estimator interfaces : https://www.scikit-yb.org/en/latest/
Manim, ManimML, Blender, panda3d, unreal: "Explain this in 3d, with an interactive game"
Khanmigo; "Explain this to me with exercises"
"And Calculate cost of computation, and Identify relatively sustainable lower-cost methods for these computations"
"Identify where this process, these tools, and experts picking algos, hyperparameters, and parameters has introduced biases into the analysis, given input from additional agents"