In this tutorial, we present an advanced, practical tutorial that demonstrates how we use Crisp Constructing and executing non-trivial quantum algorithms. We walk through the core QURISP abstraction for quantum …
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def openai_chat(system: str, user: str) -> str: resp = client.chat.completions.create( model=OPENAI_MODEL, messages=( {“role”: “system”, “content”: system}, {“role”: “user”, “content”: user}, ), temperature=0.3 ) return resp.choices(0).message.content def heuristic_responder(context: str, question: str) …
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An AI startup that aims to complement workers rather than replace them has raised $480 million in seed funding from some of the biggest names in technology, already garnering a …
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Agent-AI has become essential for deploying production-ready AI applications, yet many developers struggle with the complexity of manually configuring agent infrastructure across multiple environments. Infrastructure as code (IaC) facilitates the …
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AI Tools
How to Build a Self-Assessing Agent AI System with LlamaIndex and OpenAI Using Retrieval, Tool Usage, and Automated Quality Check
In this tutorial, we build an advanced agentic AI workflow using LlamaIndex and OpenAI models. We focus on designing a reliable retrieval-augmented generation (RAG) agent that can reason on evidence, …
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AI Tools
How to Build a Secure, Autonomous Pre-Authorization Agent for Healthcare Revenue Cycle Management with Human-in-the-Loop Control
def _now_iso() -> str: return datetime.utcnow().replace(microsecond=0).isoformat() + “Z” def _stable_id(prefix: str, seed: str) -> str: h = hashlib.sha256(seed.encode(“utf-8″)).hexdigest()(:10) return f”{prefix}_{h}” class MockEHR: def __init__(self): self.orders_queue: List(SurgeryOrder) = () self.patient_docs: Dict(str, …
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AI Tools
How to build stateless, secure, and asynchronous MCP-style protocols for scalable agent workflows
In this tutorial, we create a clean, advanced demonstration of modern MCP design by focusing on three core ideas: stateless communication, strict SDK-level validation, and asynchronous, long-running operations. We implement …
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14 January 2026 1 read minutes Add us on GoogleAdd SciAm NASA is committed to plans to build a nuclear reactor on the Moon by 2030 The US space agency …
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Meta’s effort to build capacity for its AI business has taken a step forward with the creation of a new initiative, Meta Compute. CEO Mark Zuckerberg announces “top-tier” unit facebook …
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Generative AI
How to build a portable, in-database feature engineering pipeline with Ibis using lazy Python API and DuckDB execution
In this tutorial, we demonstrate how we use A type of bird To create a portable, in-database feature engineering pipeline that looks and feels like Pandas but executes entirely inside …