AI Agents & Automation
Autonomous agents, tool use, LangChain, CrewAI, AutoGen, and execution workflows.
Core concepts, generative AI models, machine learning fundamentals, and future trends.
Subtopics Library
Autonomous agents, tool use, LangChain, CrewAI, AutoGen, and execution workflows.
Visual perception, image generation models, diffusion pipelines, and vision-language integration.
Instruction tuning, structured prompts, context window optimization, and model evaluation.
Topic Feed · Artificial Intelligence
Few-shot prompting delivers near‑fine‑tune quality at zero training cost by using a small, token‑budgeted exemplar set and deterministic API settings.
Cut latency by using smaller instruction‑tuned models, cache system prompts, adopt structured JSON prompts, enable streaming with chunked pre‑fill, and apply 4‑bit quantization.
Meta‑prompts generate on‑the‑fly prompts; DSPy runs differentiable optimization to find the highest‑scoring prompt variant under a call budget.
Combine immutable system prompts, OPA policy checks, and OpenAI moderation to block prompt injection and jailbreak attempts in enterprise LLM apps.
Combine deterministic prompts, live moderation, and post‑filter guardrails to keep tone consistent and stop PII leaks.