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Attend Interrupt 2026 to learn about enterprise agent scaling, multi‑agent architectures, and LangSmith observability and evals.
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Implement agentic engineering concepts in your workflow.
Explore multi‑GPU scaling options and evaluate VRAM expansion feasibility.
Run llama‑server with the provided command line to benchmark a 3090 at 50 t/s using 100 k context, MTP, and flash‑attn.
Observe the new AI‑Native Cloud and its inference router to reduce cost and latency in production AI workloads.
Explore the new Gemini Enterprise Agent Platform API and demo code on GitHub to experiment with agent building.
Track AI visibility by auditing crawlability, monitoring AI share of voice, and using Semrush AI Visibility Toolkit to capture mentions, citations, and sentiment, then correlate with conversions.
Clone the agent‑sh repo, install the overlay‑agent and terminal‑buffer extensions, and experiment with local or cloud models to embed an AI agent in your shell.
Run the provided llama.cpp command with the Qwen3.6-35B-A3B-UD-Q5_K_XL model to generate a full website and Playwright tests in one go.
Benchmark your own prompt processing times and adjust caching or model selection to reduce prefill latency.
Verify that passing both speculative decode and ngram flags results in only ngram being active; if you need both, modify the code or wait for a future patch.
Run the demo to fine‑tune Orpheus‑3B‑0.1‑ft on a TTS dataset using Transformer Lab by connecting compute, loading campwill/HAL‑9000‑Speech, training, and sampling audio.
Explore flow maps to accelerate diffusion sampling by predicting integral paths instead of stepwise denoiser predictions.
Measure cache hit rate and read/write price ratio when benchmarking LLMs; DeepSeek v4 flash achieves 97% hit rate and 0.02 ratio, cutting cost to $0.01 per task.
Patch internal agent harness to use Codex's WebSocket mode and Cursor SDK for CI/CD automation.
Run Hermes Agent with Qwen3.6 27B to automate routine IT tasks, saving time and reducing admin load.
Integrate a hyper‑personalised recommendation engine across your platform to reduce churn.
Reflect on how to integrate AI coding tools responsibly into production workflows.
Clone the deepseek‑dsa branch of llama.cpp and test the provided GGUFs for OOM issues.
Integrate CopilotKit's AG‑UI protocol into your agent UI for framework‑agnostic interactions.
Explore DeepSeek‑v4‑distall‑Qwen3.6‑27b distillation to assess performance gains.
Check token usage and consider disabling high thinking or switching to a cheaper model to stay within budget.
Deploy Airbyte Agents to replace vendor MCPs and reduce token consumption in agent workflows.
Deploy Claude agent templates for finance workflows to automate pitchbooks, KYC, and month‑end close.
Benchmark the agent and note that API agent uses 14x fewer tokens than vision agent; consider building an API surface for internal tools.
Monitor AI agent adoption in identity security to align governance.
Clone the larql repo and experiment with decoupled attention on Gemma 4.26B to bypass local LLM scaling limits.
Clarify context in prompts to improve local LLM responses.
Share your ideal local AI setup to gather community ideas.
Benchmark Gemma 4 31B and Qwen3.6/5 27B: Gemma is more token‑efficient but slower inference; Qwen is bench‑maxed with higher raw throughput.