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Apple's Datakalab Acquisition, OpenAI's V2 Update, and Meta's Ray-Ban Multimodal AI
Key Takeaways:
Apple acquired French AI startup Datakalab for on-device AI processing and computer vision tech.
OpenAI introduced significant updates to their Assistants API V2, featuring improved retrieval tools, fine-tuned models, and streaming support.
Meta launched multimodal AI capabilities on Ray-Ban smart glasses for real-time visual context-based assistance.
In this episode of the AI Briefing, we cover the recent developments in AI. From Apple's acquisition of Datakalab to OpenAI's Assistants API V2 update and Meta's integration of multimodal AI on Ray-Ban smart glasses, we take a look into the implications and innovations driving AI forward.
Tune in for a comprehensive overview of the latest advancements in the world of artificial intelligence.
ℹ️ The AI Briefing is an AI-generated podcast we created as experiment to uncover what can is and is not possible for automating the podcast production process. Information disclosed in the podcast episode is hand-picked and reviewed by humans prior to the episodes being created. We appreciate any feedback you have and appreciate you tuning in!
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By NextGen PodcasterKey Takeaways:
Apple acquired French AI startup Datakalab for on-device AI processing and computer vision tech.
OpenAI introduced significant updates to their Assistants API V2, featuring improved retrieval tools, fine-tuned models, and streaming support.
Meta launched multimodal AI capabilities on Ray-Ban smart glasses for real-time visual context-based assistance.
In this episode of the AI Briefing, we cover the recent developments in AI. From Apple's acquisition of Datakalab to OpenAI's Assistants API V2 update and Meta's integration of multimodal AI on Ray-Ban smart glasses, we take a look into the implications and innovations driving AI forward.
Tune in for a comprehensive overview of the latest advancements in the world of artificial intelligence.
ℹ️ The AI Briefing is an AI-generated podcast we created as experiment to uncover what can is and is not possible for automating the podcast production process. Information disclosed in the podcast episode is hand-picked and reviewed by humans prior to the episodes being created. We appreciate any feedback you have and appreciate you tuning in!