We’ve already discussed the fundamental concepts of Foundation Models and their structured outputs. This week, we’ll delve into the process of streaming the partial results generated by the model.| Swift with Majid
IBM Research and partners unveil new versions of Prithvi and TerraMind that are small enough to run on a smartphone.| IBM Research
The model uses a state space architecture to outperform time-series models at least 20 times bigger.| IBM Research
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
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
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
