azureml-examples/sdk/python/foundation-models/meta-llama-3.1/langchain.ipynb at main · Azu…
Official community-driven Azure Machine Learning examples, tested with GitHub Actions. - Azure/azureml-examples
azureml-examples/sdk/python/foundation-models/meta-llama-3.1/litellm.ipynb at main · Azure…
Official community-driven Azure Machine Learning examples, tested with GitHub Actions. - Azure/azureml-examples
Theory of Mind for a Humanoid Robot | Autonomous Robots | Springer Nature Link
If we are to build human-like robots that can interact naturally with people, our robots must know not only about the properties of objects but also the properties of animate agents in the world. One of the fundamental social skills for humans is the attribution of beliefs, goals…
On the Impact of Robotics in Behavioral and Cognitive Sciences: From Insect Navigation to…
The interaction of robotics with behavioral and cognitive sciences has always been tight. As often described in the literature, the living has inspired the construction of many robots. Yet, in this article, we focus on the reverse phenomenon: building robots can impact importantl…
Generative artificial intelligence | Electronic Markets | Springer Nature Link
Recent developments in the field of artificial intelligence (AI) have enabled new paradigms of machine processing, shifting from data-driven, discriminative AI tasks toward sophisticated, creative tasks through generative AI. Leveraging deep generative models, generative AI is ca…
Persuading voters using human-artificial intelligence dialogues - PubMed
There is great public concern about the potential use of generative artificial intelligence (AI) for political persuasion and the resulting impacts on elections and democracy<sup>1-6</sup>. We inform these concerns using pre-registered experiments to assess the ability of large l…
New Anthropic Research Sheds Light on AI's 'Black Box'
Why do large language models behave the way that they do? New research provides some clues.
AlphaEvolve Tackles Kissing Problem and More
Points: 3 | Comments: 0 | Author: rbanffy
Highly accurate protein structure prediction with AlphaFold - PubMed
Proteins are essential to life, and understanding their structure can facilitate a mechanistic understanding of their function. Through an enormous experimental effort<sup>1-4</sup>, the structures of around 100,000 unique proteins have been determined<sup>5</sup>, but this repre…
Responsible AI Transparency Report | Microsoft
Discover how we build AI systems and models responsibly, support our customers, learn, evolve, and grow in our responsible AI work.
Vertex AI Platform | Google Cloud
Enterprise ready, fully-managed, unified AI development platform. Access and utilize Vertex AI Studio, Agent Builder, and 200+ foundation models.
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BMW Estonia RF
National Center for Families Learning | Home
NCFL has been a leader in family learning since 1989, developing strategies, models, and resources for partners and teachers.
YouTube Creator Case Studies - YouTube
YouTube creators around the world are leaning into new models of production, building studios to elevate their production quality, and exploring new creative...
Weather Information - Environment Canada
Environment Canada's weather web site provides official weather warnings, current conditions, forecasts, and weather models, for public and marine areas in Canada. Canadian weather RADAR, tropical storm tracking, lightning activity, UV index, and AQHI index values also available.
Tools for developers to get started — Google AI
Build with Google AI, take advantage of our AI stack, or customize and tune our models.
Vertex AI Platform | Google Cloud
Enterprise ready, fully-managed, unified AI development platform. Access and utilize Vertex AI Studio, Agent Builder, and 200+ foundation models.
Transforming planetary data into actionable intelligence l Google Earth AI - YouTube
See how Google Earth AI unites geospatial models with Gemini-powered reasoning. Learn how partners like Planet, Airbus, Deloitte, Boston Children's Hospital,...
Geospatial Reasoning: Demonstration application (October 2025) - YouTube
With Geospatial Reasoning you can use Gemini-powered agents to access these models for rapid analysis and insight, helping your organization make decisions a...
Tools for developers to get started — Google AI
Build with Google AI, take advantage of our AI stack, or customize and tune our models.
Vertex AI Platform | Google Cloud
Enterprise ready, fully-managed, unified AI development platform. Access and utilize Vertex AI Studio, Agent Builder, and 200+ foundation models.
Vertex AI Studio | Google Cloud
Easily interact with, tune, and deploy large AI models, accelerating generative AI to production.
Model Garden on Vertex AI | Google Cloud
Discover, customize, and deploy AI models from Google & partners using Vertex AI.
Vertex AI Platform | Google Cloud
Enterprise ready, fully-managed, unified AI development platform. Access and utilize Vertex AI Studio, Agent Builder, and 200+ foundation models.
New Cars, SUVs, Trucks & Electric Vehicles | Nissan USA
Shop online for the newest Nissan cars, trucks, crossovers, SUVs and electric vehicles. Explore offers, compare models, calculate payments and more.
Azure AI Foundry Models Pricing | Microsoft Azure
Get Azure AI Foundry Models pricing information. Try popular services free with an Azure free account, and pay as you go with no upfront costs.
MODELS.com's Top 50 Models
Login or register to view MODELS.com's Top 50 Models Rankings Top 50 Models How the Top 50 Models list works SORT BY:
MODELS.com's Top 50 Models
Login or register to view MODELS.com's Top 50 Models Rankings Top 50 Models How the Top 50 Models list works SORT BY:
ChatGPT Is Already Obsolete - The Atlantic
The next generation of AI is leaving behind the viral chatbot.
Large AI Models in Health Informatics: Applications, Challenges, and the Future
Large AI models, or foundation models, are models recently emerging with massive scales both parameter-wise and data-wise, the magnitudes of which can reach beyond billions. Once pretrained, large AI models demonstrate impressive performance in vario...
Acyclic anyon models, thermal anyon error corrections, and braiding universality
Acyclic anyon models are non-abelian anyon models for which thermal anyon errors can be corrected. In this note, we characterize acyclic anyon models and raise the question if the restriction to acyclic anyon models is a deficiency of the current pro...
Learning Unified Embedding for Apparel Recognition
In apparel recognition, specialized models (e.g. models trained for a particular vertical like dresses) can significantly outperform general models (i.e. models that cover a wide range of verticals). Therefore, deep neural network models are often tr...
Finite and infinite support in nominal algebra and logic: nominal completeness theorems fo…
By operations on models we show how to relate completeness with respect to permissive-nominal models to completeness with respect to nominal models with finite support. Models with finite support are a special case of permissive-nominal models, so th...
Sharp threshold sequence and universality for Ising perceptron models
We study a family of Ising perceptron models with $\{0,1\}$-valued activation functions. This includes the classical half-space models, as well as some of the symmetric models considered in recent works. For each of these models we show that the free...
Viability tests of \textit{f(R)}-gravity models with Supernovae Type 1A data
In this work, we will be testing four different general \textit{f(R)}-gravity models, two of which are the more realistic models (namely the Starobinsky and the Hu-Sawicki models), to determine if they are viable alternative models to pursue a more v...
A Horserace of Volatility Models for Cryptocurrency: Evidence from Bitcoin Spot and Option…
We test various volatility models using the Bitcoin spot price series. Our models include HIST, EMA ARCH, GARCH, and EGARCH, models. Both of our in-sample-fit and out-of-sample-forecast results suggest that GARCH and EGARCH models perform much better...
[2305.20050v1] Let's Verify Step by Step
In recent years, large language models have greatly improved in their ability to perform complex multi-step reasoning. However, even state-of-the-art models still regularly produce logical mistakes. To train more reliable models, we can turn either to outcome supervision, which p…
[2402.19450] Functional Benchmarks for Robust Evaluation of Reasoning Performance, and the…
We propose a framework for robust evaluation of reasoning capabilities of language models, using functional variants of benchmarks. Models that solve a reasoning test should exhibit no difference in performance over the static version of a problem compared to a snapshot of the fu…
An overview of diffusion models for generative artificial intelligence
This article provides a mathematically rigorous introduction to denoising diffusion probabilistic models (DDPMs), sometimes also referred to as diffusion probabilistic models or diffusion models, for generative artificial intelligence. We provide a d...