Assessment Cheat Sheets Frontier FR

Cheat Sheets

Guide / Cheat Sheets

One cheat sheet per topic: every term that matters, typeset for reading and packaged for taking away. No quiz here — just the reference.

AI FoundationsCore terminology: models, tokens, training, inference, hallucination.6 terms LLM MechanicsHow LLMs run: sampling, context windows, embeddings, KV cache, quantization.6 terms Transformer ArchitectureAttention, positional encoding, mixture-of-experts, architectural trade-offs.6 terms Prompting TechniquesFrom zero-shot to chain-of-thought, ReAct, and structured outputs.6 terms RAG & RetrievalRetrieval-augmented generation, vector search, chunking, reranking.6 terms Agents & Tool UseAgentic loops, function calling, MCP, evals, multi-agent patterns.6 terms Context EngineeringCurating the token budget: compaction, just-in-time retrieval, agentic memory.6 terms Harness EngineeringDesigning the environment around the agent: tools, permissions, feedback loops.6 terms Safety & AlignmentRLHF, Constitutional AI, jailbreaks, prompt injection, red teaming.6 terms Multimodal AIVision, speech, image generation, cross-modal embeddings, and multimodal architectures.6 terms AI Ethics & GovernanceBias, fairness metrics, EU AI Act, watermarking, and responsible deployment.6 terms Fine-tuning & AdaptationLoRA, PEFT, RLHF mechanics, DPO, instruction tuning, and domain adaptation.6 terms Evals & BenchmarkingMMLU, HumanEval, LLM-as-judge, regression suites, and production evaluation practices.6 terms AI Business Value & ROIMetrics, costs, ROI estimation, vendor selection, and strategic alignment.6 terms AI in the WorkspaceOperational efficiency, human-in-the-loop, privacy, risk management, and adoption.6 terms

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