


90 kilometers south, what did I see at the Baidu AI Developer Conference?
Each era has its own developers and its own developer conferences. In the PC era, there were Apple MacWorld and Intel IDF, and in the mobile era, there were Apple WWDC and Google I/O. But when the world inevitably moves towards an AI-driven era, developers and developer conferences belonging to this era will also be born.
On April 16, Xiao Lei traveled 90 kilometers south from Guangzhou early in the morning to attend this year’s Baidu AI Developer Conference in Shenzhen. The long queues and surging crowds all seemed to indicate that this developer conference was special.
Conference scene, picture/Lei Technology
After the opening of the conference, Robin Li, founder and chairman of Baidu, gave his first speech in 2024. He not only revealed that Wen Xinyiyan’s users have reached 200 million, but also judged that in the future, large-scale AI native applications will be based on the collaborative work of large and small models. He even said somewhat shockingly:
The open source model will fall further and further behind.
But in Xiao Lei’s view, the most important thing about this conference is: Baidu told a story about “everyone is a developer” in the AI era.
One year after Wen Xinyiyan was released, Baidu is still making rapid progress
One year ago on March 16 On the same day, Baidu officially released Wen Xinyiyan, which caused thousands of waves. It also triggered the subsequent "Battle of Hundreds of Models" and even the "War of Thousands of Models."
One year later, Baidu announced that Wen Xinyiyan’s average daily users and API (application program interface) calls had reached 200 million, serving 85,000 customers. Qianfan platform has 190,000 native AI applications.
Picture/Lei Technology
What’s even more rare is that Baidu has improved significantly It improves the training and inference efficiency of large models, the algorithm training efficiency is increased to 5.1 times, and the inference performance is increased by 105 times:
But the inference cost is dropped to 1% of the original level.
##Picture/Lei Technology
As Robin Li said, large models It does not directly create value in itself. Only AI applications developed by developers based on large models can meet real user needs.
# Developers have always been the main group that the Developer Conference mainly targets and serves.
Ever since, we have seen Baidu release three major AI development tools “out of the box”: AgentBuilder, AppBuilder and ModelBuilder.
From programming language to natural language, the "three major artifacts" developed by AI
"As a technology company , Baidu’s role is to provide everyone with the development tools they need as much as possible to continuously enhance the creativity of the entire society.”
Specifically, Baidu’s core. It provides Wenxin large model series and tools for developing various applications based on large models, including agent development tool AgentBuilder, AI native application development tool AppBuilder, and model customization tool ModelBuilder of various sizes.
図/雷科技
しかし、Apple、Google、その他のプラットフォームとは異なり、Baidu は、プログラミング スキルだけでなく、プログラマー、またはすべてのクリエイティブな個人。
#従来のアプリケーション開発では、開発者は難解なプログラミング言語を学び、コードを入力してアプリケーションを構築する必要がありました。しかし、ラージモデル技術の進化により、自然言語によるプログラミング開発が現実となり、開発者集団が大きく変わることは間違いありません。
開発者が消えることは決してありません。それどころか、「AIは創造性の革命を起こしている。将来的には、アプリケーションの開発は短いビデオを作るのと同じくらい簡単になるだろう。誰もが開発者であり、誰もがクリエイターだ」とロビン・リー氏は語った。
##写真/Lei Technology
昨年後半から、インテリジェントなパーソナリティは常に業界の注目を集めてきました。しかし、ユーザーに豊富なインテリジェンスを提供する方法は常に問題でした。
しかし、Baidu の AgentBuilder では、初心者でも「ゼロ コード モード」を選択するだけでエージェントを作成できます。
ロビン・リーは、自然言語を使用して「シンガポール観光局」のインテリジェントなエージェントを数分で作成する方法をその場で実演しました。より専門的な要件がある場合は、ナレッジ ベースにさらに多くのコンテンツ ソースを追加したり、ホテルのチケット予約などのツールやサービスを追加したりできます。
图/雷科技
AppBuilder では、Baidu はさらに優れていますコードインタープリタやデータ理解ツールなど、AI ネイティブ アプリケーションの開発に必要なさまざまなコンポーネントやフレームワークがカプセル化され、事前に設定されています。コードを記述せずに AI ネイティブ アプリケーションを開発することもできます。
Li Yanhong 氏はまた、(華北電力大学) Huadian AI Assistant と Baidu Wenku のスマート コミック/絵本機能の事例を挙げて、Appbuilder の強力な機能を説明しました。
#写真/Lei Technology
対照的に、モデルのカスタマイズのしきい値はModelBuilder ツールの方が明らかに優れており、開発者のニーズに応じてあらゆるサイズのモデルをカスタマイズでき、細分化されたシナリオに従ってモデルをさらに微調整して、より良い結果を達成できます。ただし、微調整には、より高品質で専門的なデータに基づいたトレーニングが必要であり、このデータには多くの場合障壁があります。
しかし、何はともあれ、3 つの主要な AI 開発ツールのリリースは、Baidu が AI アプリケーション開発エコシステムを決定する可能性のある重要な一歩を踏み出したことを意味します。
##写真/Lei Technology
#今年のカンファレンスでエネルギーが高まった瞬間は、Robin Li 氏が第 2 回 Wenxin Cup Entrepreneurship Competition の正式開始を発表したときに起こりました。特に彼が、プロジェクト審査の範囲を拡大し、別の競技会場を設置し、5,000 万元相当の「特別賞」を設けると発表したとき:
開発者たち現場では歓声が上がった。
昨年 5 月、Baidu は第 1 回「Wenxin Cup」起業家コンテストを開催しました。当時、AI アプリケーションの起業家精神はまだ初期段階にありましたが、それでも 1,000 人近い参加者が集まりました。起業家チームの登録。
モバイル時代の孤独を経験したBaiduは、AI時代の新たなハイライトを先導しているようだ。
# 記事の冒頭の文のように、どの時代にも独自の開発者と独自の開発者カンファレンスがあります。 AI がすべてを動かす時代において、Baidu AI Developer Conference はこの時代と開発者にとって壮大なイベントになるかもしれません。
## その時点で、BYD、Xiaomi、AITO Wenjie、Xpeng、Weilai、Ideal、Jikrypton、Jiyue、Changan Deep Blue などの主要ブランドがすべて登場します。新型モデルの「大競争」に加え、自動運転技術の進歩、スマートコックピットの進化、大型AIモデルと自動車の統合などが重要なハイライトとなる。 Lei Technology のアカウント「電気自動車に焦点を当て、インテリジェンスについて詳しく学ぶ」では、最前線の専門的なレポートを行うためにレポートチームを北京に派遣しますので、ご期待ください。
#
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