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AI検索プラットフォームのPerplexityは、ProバージョンにAnthropic社が新たにリリースしたClaude 3.7 Sonnetモデルを統合したことを発表しました。Perplexity公式のXプラットフォームによる最新情報によると、同社は数週間このモデルの内部テストを実施し、エージェントワークフローとコード生成能力において著しい進歩を確認したとのことです。Perplexityはツイートで「Claude 3.7 SonnetがPerple…」と発表しました。

Recently, research teams from several Chinese scientific institutions have launched the super large-scale multimodal dataset named Infinity-MM, and based on this dataset, they have trained an outstanding AI model called Aquila-VL-2B. This breakthrough injects new momentum into the development of multimodal AI. The Infinity-MM dataset is astonishing in size, containing four major types of data: 10 million image descriptions, 24.4 million general visual instruction data, 6 million selected high-quality instruction data, and 3 million generated by G

Daniel Francis, who gained unexpected fame for posing as a Twitter employee, has now transformed into the founder of a law enforcement AI startup. His company, Abel, focuses on using artificial intelligence technology to assist police in filling out reports, thereby saving police resources. Francis once accompanied an officer on patrol during a research project. During a thrilling chase, he witnessed firsthand the significant amount of time and effort required for police to fill out reports, which deeply moved him. He realized that AI could...

Apple Inc. recently launched a significant update for its multimodal AI model MM1, upgrading it to version MM1.5. This upgrade represents more than just a simple change in version number; it is a comprehensive enhancement of capabilities, showcasing the model's stronger performance across various fields. The core upgrade of MM1.5 lies in its innovative data processing methods. The model utilizes a data-centric training approach, carefully selecting and optimizing the training dataset. Specifically, MM1.5 employs high-definition OCR data and synthetic image descriptions, along with optimizations.

Recently, Apple's AI research team launched their next-generation family of Multimodal Large Language Models (MLLMs) - MM1.5. This series of models can integrate various data types such as text and images, showcasing new capabilities of AI in understanding complex tasks. Tasks like visual question answering, image generation, and multimodal data interpretation can be better addressed with the help of these models. A major challenge for multimodal models is how to achieve effective interaction between different data types. Previous models often struggled in this aspect.

AI code generation startup Cursor successfully raised $60 million in Series A funding, with investors including Andreessen Horowitz, Thrive Capital, and OpenAI. Cursor aims to simplify software development through advanced AI technology, with a platform that automatically searches for and generates programming code, significantly improving development efficiency. This funding round attracted several industry heavyweights, including Google's Jeff Dean and Meta.

Salesforce has released an open source multimodal AI model named xGen-MM, designed to simultaneously understand and generate various data types such as text and images, significantly changing the way AI research and applications are conducted. The model performs exceptionally well in multiple benchmark tests, demonstrating strong performance compared to similar open source models, and includes pretrained models, datasets, and fine-tuning code. The largest model boasts 4 billion parameters and can handle 'interleaved data,' enabling multitasking, such as answering questions about multiple images at once. The diverse options available in the model reflect the potential of AI.

Cast AI helps enterprises optimize cloud spending through AI and machine learning. The company secured $35 million in Series B funding led by Vintage Investment Partners. Cast AI enables clients to reduce cloud expenses while enhancing performance and engineering productivity. By connecting with major public cloud providers, Cast AI leverages model analysis and autonomous adjustments to cloud clusters. The company holds a competitive edge in the rapidly growing FinOps market.