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Artificial IntelligenceTocInformática y Ciencias de la InformaciónInglés
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Introduction In today’s digital age, we’re constantly interacting with images and text together — whether it’s scrolling through social media, searching for products online, or using virtual assistants. But have you ever wondered how computers understand the relationship between what we see and what we read?

Artificial IntelligenceTocInformática y Ciencias de la InformaciónInglés
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Autor Tarun Krishnan

Introduction In recent times, the battle for developing the most capable language model has intensified, with many big tech companies getting deeply involved in generative AI. This has led to the creation of massive models, some boasting even trillions of parameters.

Artificial IntelligenceTocInformática y Ciencias de la InformaciónInglés
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Autor Tarun Krishnan

Introduction In recent times, there has been a boom in the field of image generation, with models like Midjourney, Stable Diffusion, and DALL-E leading the charge. Gone are the days when people had to struggle to find high-quality, non-copyrighted images. Now, you can simply provide a description of the image you wish to generate through a prompt to a generative model and receive realistic, high-definition images in return.

Python-programmingGemma2Ai-modelInformática y Ciencias de la InformaciónInglés
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Autor Research Graph

Google’s Groundbreaking AI Model Explained Introduction In the rapidly evolving landscape of artificial intelligence, Google continues to stand at the forefront, consistently pushing the boundaries of what these technologies can achieve. One of their latest advancements, GEMMA2, represents a significant leap in AI capabilities. Let’s delve into the details of this new AI model by Google.

Artificial IntelligenceTocInglés
Publicado
Autor Aditya Iyengar

Introduction In the rapidly evolving landscape of artificial intelligence, Google continues to stand at the forefront, consistently pushing the boundaries of what these technologies can achieve. One of their latest advancements, GEMMA2, represents a significant leap in AI capabilities.

Artificial IntelligenceTocInformática y Ciencias de la InformaciónInglés
Publicado
Autor Wendi Fan

Introduction Mistral is an open-source large language model (LLM) series developed by Mistral AI, designed to assist with various natural language processing (NLP) tasks. Mistral is renowned for its transparent, portable, customisable, user-friendly, and cost-effective models, which require less computational power when used on local systems.

Informática y Ciencias de la InformaciónInglés
Publicado
Autor Tohfa Siddika Barbhuiya

In the field of Artificial Intelligence, large language models (LLMs) are transforming the landscape of what machines can achieve. These sophisticated models excel at tasks like summarising text, generating human-like content, translating languages, and answering complex questions. However, the computational resources required to run such models can be prohibitive for many individuals and small teams. Let’s enter the world of Google Colab.

Artificial IntelligenceTocInformática y Ciencias de la InformaciónInglés
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Introduction Flowise is an open-source, low-code tool tailored for developers to build customised orchestration flows and AI agents for Large Language Models (LLMs). It simplifies the development cycle, enabling quick iterations and a smooth transition from testing to production.

Artificial IntelligenceTocInformática y Ciencias de la InformaciónInglés
Publicado

Introduction Dify is an open-source large language model (LLM) application development platform. It combines the concepts of Backend-as-a-Service and LLMOps to enable developers to quickly build production-grade generative AI applications. Even non-technical people can participate in the definition and data operations of AI applications.

Artificial IntelligenceTocInformática y Ciencias de la InformaciónInglés
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Autor Wendi Fan

Introduction ChatGPT-4o Mini is a streamlined version of OpenAI’s GPT-4, designed to offer powerful language processing capabilities with lower resource consumption and cost. It was developed in response to the growing demand from small businesses, educational institutions, and individual developers for affordable AI tools.