February 2025
Intermediate
376 pages
9h 25m
Japanese
Content preview from 仕組みからわかる大規模言語モデル 生成AI時代のソフトウェア開発入門
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workflow.add_conditional_edges(
"Evaluator", router, {"continue": "Leader", "call_tool": "Tool"}
)
workflow.add_conditional_edges(
"Leader",
lambda x: x["next"],
{
"Programmer": "Programmer",
"TestWriter": "TestWriter",
"Evaluator": "Evaluator",
"Finish": END,
},
)
workflow.add_edge("Programmer", "Leader")
workflow.add_edge("TestWriter", "Leader")
workflow.add_edge("Tool", "Evaluator")
workflow.set_entry_point("Leader")
# ワークフローの実行
graph = workflow.compile()
with open("HumanEval.jsonl") as f:
lines = f.readlines()
entries = [json.loads(line) for line in lines]
entry = entries[0]
result = graph.invoke({"messages": [], "task": entry["prompt"]})
for message ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.