Researchers at the University of Pennsylvania have developed a machine learning framework to measure the effectiveness of vision

Researchers at the University of Pennsylvania have developed a machine learning framework to measure the effectiveness of vision-based AI functions by performing a battery of tests on OpenAI’s ChatGPT-Vision

11/22/2023

The GPT-Vision model has caught everyone's attention. People are excited about its ability to understand and generate content related to ...

HuggingFace introduces TextEnvironments: an orchestrator between a machine learning model and a set of tools (Python functions) that the model can call to solve specific tasks

by Technical Terrence Team

11/03/2023

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Supervised Fine Tuning (SFT), Reward Modeling (RM), and Proximate Policy Optimization (PPO) are part of TRL. In this comprehensive library, ...

This AI article reveals the secret of learning in context: how language models encode functions in vector magic

by Technical Terrence Team

11/02/2023

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In autoregressive transformer language models, a neural mechanism is identified that represents an input-output function as a compact vector known ...

What are Microsoft Azure Functions?

by Technical Terrence Team

10/31/2023

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Introduction Microsoft Azure's wide range of services has allowed it to carve out a niche for itself. Azure Functions is ...

Optimice los perfiles de mascotas para la aplicación Petfinder de Purina utilizando etiquetas personalizadas de Amazon Rekognition y AWS Step Functions

by Technical Terrence Team

10/18/2023

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Purina US, una subsidiaria de Nestlé, tiene una larga trayectoria permitiendo a las personas adoptar mascotas más fácilmente a través ...

Demystifying Activation Functions in Neural Networks

by Technical Terrence Team

10/14/2023

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Introduction Activation functions are the secret sauce behind the remarkable capabilities of neural networks. They are the decision-makers, determining whether ...

Activation Functions and Nonlinearity: Neural Networks 101 | by Egor Howell | October 2023

by Technical Terrence Team

10/12/2023

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Explaining why neural networks can learn (almost) anythingPhoto from Google DeepMind: ai-this-image-was-inspired-by-neural-networks-used-in-deep-learning-it-was-created-by-novoto-studio-as-part-of-the-visualising-ai-pr-17483874/" rel="noopener ugc nofollow" target="_blank">https://www.pexels.com/photo/un-artista-s-ilustracion-de-inteligencia-artificial-ai-esta-imagen-fue-inspirada-por-neural-networks-used-in-deep-learning- was-created-by-novoto-studio-as-part-of-ai-visualization-pr-17483874/In my previous article, ...