یادگیری عمیق، پروژه‌محور
برای ساخت آیندهٔ هوش مصنوعی

# support_agent.py
from nexus import Agent, Memory

agent = Agent("support", tools=[search, orders])
agent.memory = Memory(window=12)

def route(message):
    intent = agent.classify(message)
    if intent.confidence < 0.72:
        return handoff_to_human(message)
    return agent.reply(message)

✓ deployed · p95 1.4s · accuracy 94%

# rag_pipeline.py
from nexus.rag import Retriever, Reranker

retriever = Retriever(index="docs-v3", top_k=24)
reranker = Reranker(model="cross-encoder")

def answer(question):
    docs = reranker.top_k(retriever.search(question), 6)
    return generate(question, context=docs, cite=True)

✓ hallucination -41% · citation 2.3x

# analytics_api.py
from fastapi import FastAPI
from nexus.analytics import stream_metrics

app = FastAPI()

@app.get("/metrics/{tenant}")
async def metrics(tenant: str):
    return stream_metrics(tenant, window="1h")

✓ 1.2M rows in 7.8s · live dashboard