Multimodal Large Language Models (MLLMs) have demonstrated a wide range of capabilities across many domains, including Embodied AI. In this work, we study how to best ground a MLLM into different embodiments and their associated action spaces, with the goal of leveraging the multimodal world… Read More »Grounding Multimodal Large Language Models in Actions Apple Machine Learning Research
Modern wearable devices can conveniently record various biosignals in the many different environments of daily living, enabling a rich view of individual health. However, not all biosignals are the same: high-fidelity biosignals, such as photoplethysmogram (PPG), contain more physiological information, but require optical sensors with… Read More »Wearable Accelerometer Foundation Models for Health via Knowledge Distillation Apple Machine Learning Research
[[{“value”:” Foundational models (FMs) and generative AI are transforming how financial service institutions (FSIs) operate their core business functions. AWS FSI customers, including NASDAQ, State Bank of India, and Bridgewater, have used FMs to reimagine their business operations and deliver improved outcomes. FMs are probabilistic… Read More »Build verifiable explainability into financial services workflows with Automated Reasoning checks for Amazon Bedrock Guardrails Alfredo Castillo AWS Machine Learning Blog
[[{“value”:” At AWS re:Invent 2024, we launched a new innovation in Amazon SageMaker HyperPod on Amazon Elastic Kubernetes Service (Amazon EKS) that enables you to run generative AI development tasks on shared accelerated compute resources efficiently and reduce costs by up to 40%. Administrators can… Read More »Best practices for Amazon SageMaker HyperPod task governance Nisha Nadkarni AWS Machine Learning Blog
[[{“value”:” Scientists everywhere can now access Evo 2, a powerful new foundation model that understands the genetic code for all domains of life. Unveiled today as the largest publicly available AI model for genomic data, it was built on the NVIDIA DGX Cloud platform in… Read More »Massive Foundation Model for Biomolecular Sciences Now Available via NVIDIA BioNeMo Anthony Costa – Archives Page 1 | NVIDIA Blog
In machine learning, probability distributions play a fundamental role for various reasons: modeling uncertainty of information and data, applying optimization processes with stochastic settings, and performing inference processes, to name a few. In machine learning, probability distributions play a fundamental role for various reasons: modeling uncertainty… Read More »Understanding Probability Distributions for Machine Learning with Python Iván Palomares Carrascosa MachineLearningMastery.com
This post is in six parts; they are: • The Complexity of NER Systems • The Evolution of NER Technology • BERT’s Revolutionary Approach to NER • Using DistilBERT with Hugging Face’s Pipeline • Using DistilBERT Explicitly with AutoModelForTokenClassification • Best Practices for NER Implementation… Read More »How to Do Named Entity Recognition (NER) with a BERT Model Muhammad Asad Iqbal Khan MachineLearningMastery.com
We examine the capability of Multimodal Large Language Models (MLLMs) to tackle diverse domains that extend beyond the traditional language and vision tasks these models are typically trained on. Specifically, our focus lies in areas such as Embodied AI, Games, UI Control, and Planning. To… Read More »From Multimodal LLMs to Generalist Embodied Agents: Methods and Lessons Apple Machine Learning Research
Inference with transformer-based language models begins with a prompt processing step. In this step, the model generates the first output token and stores the KV cache needed for future generation steps. This prompt processing step can be computationally expensive, taking 10s of seconds or more… Read More »KV Prediction for Improved Time to First Token Apple Machine Learning Research
[[{“value”:” As the adoption of generative AI continues to expand, developers face mounting challenges in building and deploying robust applications. The complexity of managing diverse infrastructure, ensuring compliance and safety, and maintaining flexibility in provider choices has created a pressing need for unified solutions. Traditional… Read More »Meta AI Releases the First Stable Version of Llama Stack: A Unified Platform Transforming Generative AI Development with Backward Compatibility, Safety, and Seamless Multi-Environment Deployment Sana Hassan Artificial Intelligence Category – MarkTechPost