In the past, many of our blog posts have started with “Intercom is a product company, …” It set the context for the reader, explained some of our decisions and defined the layer we bring most value in. I started this piece with it, but a brief pause was enough to realise it’s wrong. Scratch it. Intercom is an AI company. In this post we’ll discuss how we built tools to make our scientists producti
Model fetishism compounds the problem. Engineering teams spend quarters optimizing F1-scores while integration tasks sit in the backlog. When initiatives finally surface for business review, the compliance requirements look insurmountable, and the business case remains theoretical. Disconnected tribes create organizational friction. Product teams chase features, infrastructure teams harden securit
Big news: We’re joining Cloudflare. Replicate’s going to carry on as a distinct brand, and all that’ll happen is that it’s going to get way better. It’ll be faster, we’ll have more resources, and it’ll integrate with the rest of Cloudflare’s Developer Platform. The API isn’t changing. The models you’re using today will keep working. If you’ve built something on Replicate, it’ll keep running just l
こちらはLayerX AI Agentブログリレー1日目の記事です。 こんにちは、Hiromu Nakamura (pon) です。 LayerXでAI/MLOpsをやってます！ 最近はAI Agentの開発の中で、個人的にTemporal Knowledge Graphに注目しています。今回は関連論文や技術を紹介しつつ、私が作成したPoCや実装のポイント、課題についてお話しします。 目次 目次 AI Agent用のメモリ/ナレッジを持つ必要性 Knowledge Graphの世界 そもそもKnowledge Graphとは LLMの登場でKnowledge Graphが構築しやすくなった！！ Knowledge Graphの使い所 Temporal Knowledge Graphの世界 Graphiti T-GRAG 申請レビューAI AgentのPoCから学ぶ Temporal Kno
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