Results for “ponder”

Plan, debug, tune, evaluate, export, or deploy public Nemotron embedding and reranking retrieval recipes using the current checkout.

Computes the Recall metric using torchmetrics, including configuration for binary, multiclass, and multilabel tasks.

Build a library of metacognitive prompts targeting planning, monitoring, or evaluation for a specific task. Use when developing students' thinking-about-thinking during independent work.

Manages vector embeddings with Pinecone for semantic search, recommendation, and RAG pipelines.

Performs AI-powered web searches with real-time information using Perplexity models via LiteLLM and OpenRouter, providing grounded answers with source citations.

Prompt Optimizer

Review docs, tool output, skills, and memory candidates for prompt-injection risk.