If Visual Look Up is so easy and low-power for Apple silicon Macs, maybe Tahoe's new Foundation Models will prove more challenging, and wake up the neural engine.| The Eclectic Light Company
Last week, we talked about the basics of Foundation Models, how to generate text content, and how to tune and control the output. This week, we will talk about simple and yet powerful structured content generation.| Swift with Majid
Apple introduced the brand-new Foundational Models framework, providing type-safe APIs for using Apple Intelligence models in your apps. This week, we will learn how to use this new framework while building AI features in your apps.| Swift with Majid
Explore the different pieces of the Foundation Models framework which allows access to Apple's on-device models.| Create with Swift
IBM and Cleveland Clinic show how synthetic gait data may unlock the future of neurological disease monitoring.| IBM Research
IBM Research’s foundation models are powering simulated versions of complex systems, which promise to accelerate technological progress.| IBM Research
An affiliate project of the AI Alliance, TT 1.0 makes it easier to develop and benchmark geospatial models.| IBM Research
An engineer’s perspective on multi-sensor foundation models.| fnands.com
Explore breakthrough features like Foundation Models bringing on-device AI, ChatGPT integration in Xcode, AlarmKit enabling true alarm apps, and major improvements to visionOS spatial experiences.| FlineDev Blog – Insights on Swift, Xcode, and Apple Development
Organizations managing large audio and video archives face significant challenges in extracting value from their media content. Consider a radio network with thousands of broadcast hours across multiple stations and the challenges they face to efficiently verify ad placements, identify interview segments, and analyze programming patterns. In this post, we demonstrate how you can automatically transform unstructured media files into searchable, analyzable content.| Amazon Web Services
A foundation model is a type of artificial intelligence neural network trained on vast amounts of raw data, typically through unsupervised learning, and designed to be adaptable for a wide range of tasks. In a new paper Apple Intelligence Foundation Language Models, an Apple research team introduces the foundation language models developed to power Apple| Synced
We're excited to announce the integration of TruLens with LiteLLM to offer evaluations for a wide breadth of models supported by the LiteLLM Interface. Models available via LiteLLM include GPT-4, Llama-2, Claude-2, Cohere Command Nightly and more. Through the use of LiteLLM, anyone can now access the full suite of TruLens LLM evaluations including groundedness, context relevance, toxicity and more using the model best suited for your organization.| TruEra