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href=\"https://artificialanalysis.ai/articles/aa-briefcase?utm_source=chatgpt.com#cost-per-task\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\u003Eわずかなコスト\u003C/a\u003Eで強力なパフォーマンスを提供します。オープンモデルの継続的な改善に伴い、モデルの選択肢が増えることで、エコシステム全体で競争が激化し、イノベーションが加速し、コストが低下するはずです。\u003C/p\u003E\n\u003Cp\u003Eここに、企業にとっての大きな可能性が秘められていると私は考えています。タスクあたりのコストが低下するにつれて、AIを適用する意義のある基準も低下します。かつては自動化にコストがかかりすぎたワークフローも経済的に実行可能になり、組織はビジネスのより幅広い領域で自由に実験と反復を行い、最終的にAIを展開できるようになります。\u003C/p\u003E\n\u003Cp\u003Eしかし、モデルによってコスト、品質、レイテンシーの曲線上の位置は異なり、その位置は常に変化しています。今日あるタスクに最適なモデルが、半年後も最適であるとは限りません。だからこそ、インテリジェンスの効率化には、企業が柔軟なモデルのポートフォリオを採用することが必要だと私は考えています。\u003C/p\u003E\n\u003Cp\u003Eお客様との対話の中で、私はすでにこの変化を目の当たりにしています。課題は、\u003Ci\u003E「どのモデルを標準化し、どこに適用すべきか」\u003C/i\u003Eから、\u003Ci\u003E「すべてのタスクに対して最適なモデルを継続的に選択するにはどうすればよいか」\u003C/i\u003Eへと移行しています。\u003C/p\u003E\n\u003Cp\u003ESnowflakeは、\u003Cb\u003EAnthropic、Google、Mistral AI、OpenAI、SpaceXAI\u003C/b\u003Eの主要なオープンモデルおよびプロプライエタリモデルを統合する中立的なエンタープライズプラットフォームを構築しました。さらにSnowflakeは、\u003Cb\u003EGLM-5.3 \u003C/b\u003Eと\u003Cb\u003EDeepSeek-V4-Flash 0731\u003C/b\u003Eのサポートにより、その選択肢を拡大していく予定です。 \u003C/p\u003E\n\u003Cp\u003Eこの自由と柔軟性は、私たちが考えるエージェンティックエンタープライズの基盤となるものです。モデルが進化し続ける中、企業は自社のデータとコンテキストの全範囲にわたって、そのイノベーションの恩恵を受けられるべきです。\u003C/p\u003E\n\u003Cp\u003Eこれこそが、ビルダー向けのSnowflake CoCoと、ビジネスユーザー向けのSnowflake CoWorkを通じて私たちが提供しているものです。CoCoとCoWorkはすべてのデータにわたってシームレスに機能し、単一の対話型インターフェイスでさまざまなモデル、エージェント、ワークフロー、システムを活用できるようにします。モデルはシステムの重要な一部ですが、ユーザーが常に管理しなければならないものであってはなりません。 \u003C/p\u003E\n\u003Cp\u003Eこれは、私が考える企業の次の課題、つまりAIをいかに効果的にオーケストレーションするかという点につながります。そのため本日、お客様が目の前のタスクに適切なモデルを活用できるよう支援する、\u003Cb\u003ECortex AI Gatewayの動的モデルルーティング\u003C/b\u003Eを発表します。これによりお客様は、承認するモデルと重視するトレードオフを定義できるようになります。そこからCortex AI Gatewayは、実際のコストやパフォーマンスのデータとともに、それらのポリシーに照らし合わせて各タスクを評価し、ユースケースごとに最適なモデルを選択します。 \u003C/p\u003E\n\u003Cp\u003Eシステムはまた、その結果から学習します。あるモデルがタスクを完了した後、別のモデルがその結果の品質を評価することで、継続的なフィードバックループが形成され、将来のルーティングの決定が改善されます。モデルが向上し、状況が変化するにつれて、システムもそれに適応し、品質、コスト、レイテンシーを継続的に改善できます。\u003C/p\u003E\n\u003Cp\u003E当社の初期のベンチマークでは、このアプローチにより、単一のモデルのみに依存する場合よりも、一定の品質レベルにおいて優れた経済性を実現できることが示されています。また、この機能はCoCoおよびCoWorkに直接統合されているため、新しいモデルや機能が登場しても、お客様は既存のエージェントやワークフロー内で価格とパフォーマンスの最適化を活用できます。\u003C/p\u003E\n\u003Cp\u003E本日の発表は、創業当初からSnowflakeを導いてきた哲学を反映したものです。テクノロジーの大きな変化は、複雑さを生み出します。私たちの使命は、お客様に代わってその複雑さを吸収することです。私たちはデータインフラストラクチャにおいてそれを実現し、現在はAIにおいても同様の取り組みを行っています。Snowflakeがバックグラウンドでモデルの選択、ルーティング、最適化の複雑さを管理することで、企業はタスクに最適なインテリジェンスを自由に使用できるようになります。このようにして、私たちはお客様が真のインテリジェンスの効率化を実現できるよう支援しています。\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/blog/blog-text"}},":type":"wcm/foundation/components/responsivegrid"},"responsivegrid_premium_content_banner":{"columnClassNames":{},"gridClassNames":"aem-Grid 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