Arnav Jalan

Fine-tune LLMs without internet access. Step-by-step guide covering data preparation, model selection, training infrastructure, and deployment in air-gapped enterprise environments.

EU AI Act compliance for LLM applications. Map your use cases to risk tiers. Understand GPAI obligations, documentation requirements, and August 2026 deadlines. Technical implementation guide.

Reasoning models compared: OpenAI o1/o3, DeepSeek R1, QwQ-32B. Architecture differences, benchmark analysis, cost breakdown. Self-hosting guide for R1 with VRAM requirements.

Beyond single agents. Learn supervisor patterns, swarm architectures, and hybrid designs for multi-agent systems. Covers state synchronization, memory engineering, and failure recovery.

OWASP's #1 LLM risk with specific CVEs, real breach costs, tool comparisons, and compliance mapping for NIST, EU AI Act, and ISO 42001.

Production guardrails for LLM applications. Real latency numbers (10ms to 8 seconds), false positive math, layered architecture. Working implementations for NeMo, Guardrails AI, Llama Guard.

Implement LLM monitoring with step-by-step tool setup. Covers Langfuse, LangSmith, Helicone, Phoenix with code, pricing tables, and production debugging.

87% of European enterprises delayed AI adoption over GDPR fears. The compliance path is clearer than you think. Article-by-article breakdown for LLM deployment.

Function calling turns LLMs into action-takers. JSON schemas, parallel execution, streaming, error handling. Working code for OpenAI, Anthropic, and open-source models.

Get reliable JSON from any LLM. Compare OpenAI, Anthropic, Gemini structured outputs. Learn constrained decoding with XGrammar, Outlines, and Instructor. Production patterns included.