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Consejos y respuestas sobre “Comunicación” del New York Times del 14 de mayo: Consejos para resolver “Comunicación” #338.

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Enlaces es el ultimo Los New York Times juego de palabras Esto ha captado la atención del público. El juego consiste en encontrar “hilos comunes entre palabras”. Y así de simple palabra, Enlaces Se reinicia después de medianoche y cada nuevo conjunto de palabras se vuelve más complicado, por lo que te brindamos algunos consejos y trucos para superar este obstáculo.

Si solo quieres conocer el enigma de hoy, puedes saltar al final de este artículo para el 14 de mayo. Enlaces Solución. Pero si prefiere resolver el problema usted mismo, siga leyendo para conocer algunas guías, consejos y estrategias que le ayudarán.

Qué es Enlaces?

el ahoraNuestro último juego de palabras diario ha sido un éxito en las redes sociales. el veces A Wyna Liu, editora asociada de rompecabezas, se le atribuye haber ayudado a crear el nuevo juego de palabras y llevarlo a la sección de juegos de la publicación. Enlaces Se puede jugar tanto en navegadores web como en dispositivos móviles y pide a los jugadores que junten cuatro palabras que tengan algo en común.

Cada rompecabezas contiene 16 palabras y cada grupo de palabras se divide en cuatro categorías. Estas colecciones pueden consistir en cualquier cosa, desde títulos de libros y software, nombres de países, etc. Aunque parezca que varias palabras van juntas, solo hay una respuesta correcta. Si el jugador acierta las cuatro palabras del conjunto, esas palabras se eliminan del tablero. Adivina incorrectamente y se considera un error: los jugadores cometen hasta cuatro errores hasta que termina el juego.

Los jugadores también pueden reorganizar y barajar el tablero para que sea más fácil descubrir conexiones. Además, cada grupo está codificado por colores, siendo el amarillo el más fácil, seguido del verde, el azul y el morado. Gustos palabra, Puedes compartir los resultados con tus amigos en las redes sociales.

Aquí tienes un consejo para hoy. Enlaces Categorías

¿Quieres saber las categorías sin que te digan cuáles son? Entonces prueba estos:

Historias principales mezclables

Aquí hoy Enlaces Categorías

¿Necesita un poco de ayuda extra? Las comunicaciones de hoy se dividen en las siguientes categorías:

  • amarillo: Recurrencia temprana

  • verde: Disfrute de su comida

  • azul: pronombres españoles

  • púrpura: Construcción mediana____

¿Estás buscando Wordle hoy? Aquí está la respuesta en Wordle hoy.

¿Listo para obtener las respuestas? Esta es tu última oportunidad de regresar y resolver el enigma de hoy antes de que revelemos las soluciones.

¡Redoble de tambores por favor!

Solución para Enlaces N° 336…

¿Cuál es la respuesta a Enlaces hoy

  • Recurrencia temprana: Borrador, esquema, plano, dibujo.

  • Disfrute de una comida: Comer, festejar, alimentar y beber.

  • Pronombres en español: ella, yo, ella, yo

  • Construcción moderada____: Adecuado Jim Pickings Shady

No te frustres si no puedes adivinarlo esta vez. Habrá nuevos Enlaces Para preparar tu mente para mañana y volveremos para guiarte con más consejos útiles.

¿No es así? Enlaces ¿El juego que estabas buscando? Aquí están las sugerencias y respuestas. ayer Enlaces.



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Consejos y respuestas de “Comunicaciones” del New York Times del 13 de mayo: Consejos para resolver “Comunicaciones” #337.

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Enlaces es el ultimo Los New York Times juego de palabras Esto ha captado la atención del público. El juego consiste en encontrar “hilos comunes entre palabras”. Y así de simple palabra, Enlaces Se reinicia después de medianoche y cada nuevo conjunto de palabras se vuelve más complicado, por lo que te brindamos algunos consejos y trucos para superar este obstáculo.

Si solo quieres conocer el enigma de hoy, puedes saltar al final de este artículo para el 11 de mayo. Enlaces Solución. Pero si prefiere resolver el problema usted mismo, siga leyendo para conocer algunas guías, consejos y estrategias que le ayudarán.

Qué es Enlaces?

el ahoraNuestro último juego de palabras diario ha sido un éxito en las redes sociales. el veces A Wyna Liu, editora asociada de rompecabezas, se le atribuye haber ayudado a crear el nuevo juego de palabras y llevarlo a la sección de juegos de la publicación. Enlaces Se puede jugar tanto en navegadores web como en dispositivos móviles y pide a los jugadores que junten cuatro palabras que tengan algo en común.

Cada rompecabezas contiene 16 palabras y cada grupo de palabras se divide en cuatro categorías. Estas colecciones pueden consistir en cualquier cosa, desde títulos de libros y software, nombres de países, etc. Aunque parezca que varias palabras van juntas, solo hay una respuesta correcta. Si el jugador acierta las cuatro palabras del conjunto, esas palabras se eliminan del tablero. Adivina incorrectamente y se considera un error: los jugadores cometen hasta cuatro errores hasta que termina el juego.

Los jugadores también pueden reorganizar y barajar el tablero para que sea más fácil descubrir conexiones. Además, cada grupo está codificado por colores, siendo el amarillo el más fácil, seguido del verde, el azul y el morado. Gustos palabra, Puedes compartir los resultados con tus amigos en las redes sociales.

Aquí tienes un consejo para hoy. Enlaces Categorías

¿Quieres saber las categorías sin que te digan cuáles son? Entonces prueba estos:

Historias principales mezclables

Aquí hoy Enlaces Categorías

¿Necesita un poco de ayuda extra? Las comunicaciones de hoy se dividen en las siguientes categorías:

  • amarillo: Salida del diseñador de moda

  • verde: Verbos de tono

  • azul: Números de Looney Tunes

  • púrpura: Homófonos musicales

¿Estás buscando Wordle hoy? Aquí está la respuesta en Wordle hoy.

¿Listo para obtener las respuestas? Esta es tu última oportunidad de regresar y resolver el enigma de hoy antes de que revelemos las soluciones.

¡Redoble de tambores por favor!

Solución para Enlaces N° 336…

¿Cuál es la respuesta a Enlaces hoy

  • Amarillo: producción de diseñador de moda – Marca, colección, etiqueta, fuente.

  • Verde: verbos de tono – Esquivar, esconderse, saltar, marcar

  • Azul: personajes de Looney Tunes – Conejo, pato, marciano, cerdo.

  • Púrpura: música homófona – Grecia, Liebre, Katz, Mim

No te frustres si no puedes adivinarlo esta vez. Habrá nuevos Enlaces Para preparar tu mente para mañana y volveremos para guiarte con más consejos útiles.

¿No es así? Enlaces ¿El juego que estabas buscando? Aquí están las sugerencias y respuestas. ayer Enlaces.



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This is the tablet with the biggest battery ever — small-time Chinese firm promises rugged device with a staggering 33,280mAh battery, three times the capacity of Apple’s iPad Pro, and much cheaper as well

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Ulefone is set to launch the Armor Pad 3 Pro, a rugged tablet featuring what it claims is the world’s largest-ever tablet battery, reportedly a staggering 33,280mAh. 

Launching on May 13, this device boasts triple the battery life of Apple‘s iPad Pro, promising to deliver exceptional energy efficiency at a budget-friendly price tag.

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Your Sky TV just got 10 times better with a load of useful free updates

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You may have missed the 500 updates that Sky has rolled out to its Entertainment operating system (OS) over the past three years, but several changes are rolling out today, and a ton more to follow that you won’t want to miss knowing about. 

Starting today (April 17), Sky TV customers, such as those that use Sky Stream or Sky Glass, are getting five new features as part of the latest version (1.2) of its Entertainment OS that will also be available to any other streaming device or TV that uses it, including Xumo in the US and the recently launched Hubbl service in Australia.    

A Sky TV with children's shows characters displayed

Not a fan of SpongeBob? Don’t worry, you’ll soon be able to choose from sports personalities and celebrity avatars too. (Image credit: Sky)

The first of these updates focuses on making personalized movie recommendations more targeted by showing movies you might like grouped by genre. This is based on your watch history across Sky apps and is something that you might have already noticed on the likes of Netflix or Prime Video

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Shockbyte launches new control panel, promises faster load times and more

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Game server hosting provider Shockbyte has just announced a new and improved control panel, promising faster load times, new features, and a more user-friendly environment.

In a press release shared with TechRadar earlier this week, Shockbyte claims that its new control panel is 185% faster, on average, than the previous panel. Now, page load times will be reduced to 150ms, while providing a direct connection to players’ servers for live, instant server information.

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Watch out — these malicious PyPl packages could drain your wallet, and they’ve already been downloaded thousands of times

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Be careful when downloading Python packages from PyPI – researchers have found some are malicious and looking to steal your cryptocurrency haul. 

Cybersecurity researchers from ReversingLabs recently discovered seven such packages, whose goal is to steal BIP39 mnemonic phrases from its victims. 

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News

OpenAI responds to New York Times ChatGPT Lawsuit

OpenAI ChatgPT

OpenAI has responded to the New York Times lawsuit against their ChatGPT language model and has said that their lawsuit is ‘without merit”. They have said that training its AI model is fair use and they also provide an opt-out option.

The AI company has said that “Regurgitation” is a rare bug that they are working on ironing out from their platform and they have also said that the New York Times is not telling the full story, more details are below.

Our discussions with The New York Times had appeared to be progressing constructively through our last communication on December 19. The negotiations focused on a high-value partnership around real-time display with attribution in ChatGPT, in which The New York Times would gain a new way to connect with their existing and new readers, and our users would gain access to their reporting. We had explained to The New York Times that, like any single source, their content didn’t meaningfully contribute to the training of our existing models and also wouldn’t be sufficiently impactful for future training. Their lawsuit on December 27—which we learned about by reading The New York Times—came as a surprise and disappointment to us.

You can find out more information about the lawsuit between the New York Times and OpenAI and their ChatGPT language model over at the Open AI website at the link below.

Source Open AI

Image Credit: Jonathan Kemper

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New York Times and OpenAI GPT lawsuit explained

New York Times and OpenAI GPT lawsuit explained

The esteemed publication, The New York Times, has taken a bold step by filing a lawsuit against OpenAI, the creators of the sophisticated AI model known as GPT-4. This legal challenge, which also involves tech giant Microsoft due to its association with OpenAI, is centered around claims of copyright infringement. The New York Times is seeking significant financial compensation, alleging that its copyrighted content was used without permission to train the AI system.

At the heart of this dispute is the demand for the complete removal of GPT-4 and any other models that may have utilized The New York Times’ copyrighted material during their training. This case is critical as it could set a new legal standard that might affect the future of AI development and the use of copyrighted materials in machine learning.

The New York Times argues that OpenAI’s models, which have consumed its content, now pose a threat to its business by offering similar journalistic services. The publication claims that GPT-4 can generate summaries and even reproduce exact excerpts from its articles, essentially redistributing its content without authorization.

A key point in the lawsuit is whether AI systems like GPT-4 retain exact copies of copyrighted texts or whether they simply learn patterns and generate similar content independently. This distinction is crucial and could determine the outcome of the case.

New York Times OpenAI lawsuit

In the past, U.S. courts have been reluctant to hold AI systems accountable for the data on which they are trained, often dismissing lawsuits related to such issues. However, this case could break that pattern, particularly if it is proven that GPT-4 can recall and reproduce copyrighted material.

The implications of this legal battle are far-reaching. Should The New York Times emerge victorious, it could reshape the AI industry, especially regarding how AI models are trained and the necessity of securing permissions for copyrighted content. Such a shift could fundamentally change how AI companies acquire and use training data.

Quick summary of the New York Times and OpenAI GPT lawsuit :

  • The New York Times is suing OpenAI and its affiliates for copyright infringement.
  • The lawsuit seeks significant financial damages and the removal of GPT-4 and related models.
  • Previous lawsuits against AI models for similar reasons have generally not succeeded.
  • U.S. courts have typically rejected claims against the training data used by AI models.
  • The lawsuit argues that OpenAI’s models, using data from the New York Times, compete with the newspaper’s ability to deliver news.
  • The New York Times alleges that OpenAI’s models can generate detailed summaries and verbatim excerpts from its articles without authorization.
  • The case may hinge on whether OpenAI’s models store actual copies of copyrighted material.
  • The outcome of the lawsuit could have implications for the future of AI models and their interaction with copyrighted content.

As the situation unfolds, it is crucial to consider the balance between encouraging AI innovation and protecting intellectual property rights. The outcome of this lawsuit will likely have significant consequences not only for OpenAI and its affiliates but also for the wider AI community and its interaction with copyrighted materials.

The confrontation between The New York Times and OpenAI is not just a legal matter; it is a pivotal moment that could influence the direction of technological advancement and the protection of creative works. The resolution of this case is eagerly anticipated, as it will set a precedent for how AI entities and content creators coexist and collaborate in the rapidly evolving digital landscape.

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Train LLMs faster using Unsloth x30 times faster

Unsloth makes training LLMs and AI models x30 faster

Training large language models is a critical part of AI development, but it’s also a process that can take a lot of time and use up a lot of computing power. That’s where Unsloth by Moonshot comes in allowing you to train LLMs faster. They’ve created a new software package that’s making a big advancements in how quickly and efficiently these models can be trained. It’s designed to work with a variety of graphics processing units (GPUs) from top companies like NVIDIA, Intel, and AMD.

Features of Unsloth AI training

  • 30x faster. Alpaca takes 3 hours instead of 85.
  • 60% less memory usage, allowing 6x larger batches.
  • 0% loss in accuracy or +20% increased accuracy with our Max offering.
  • No need for new hardware – only software changes.
  • Supports NVIDIA, Intel and AMD GPUs with our Max offering.
  • Manual autograd and chained matrix multiplication optimizations.
  • Rewrote all kernels in OpenAI’s Triton language.
  • Flash Attention via xformers and Tri Dao’s implementation.
  • Free open source version makes finetuning 2x faster with 50% less memory.

Imagine being able to shrink an 85-hour training session down to just 3 hours. Or train your own ChatGPT in 24 hrs instead of 30 days. That’s the kind of improvement we’re talking about with Unsloth AI’s software. It’s not just a small step forward; it’s a huge leap that can make your work 30 times faster. Plus, the software can cut memory usage by 60%, which means you can run bigger batches of data at once. This kind of optimization lets you do more with the computing resources you have.

Unsloth AI’s software is packed with advanced features that help it perform so well. It includes a custom autograd implementation in PyTorch, mathematical optimizations, and kernels that have been reworked using OpenAI’s Triton language. The software also uses something called the Flash attention mechanism to improve its capabilities even more.

Train your LLM is an AI models faster using Unsloth

Here are some other articles you may find of interest on the subject of training large language models :

Train LLMs faster

No matter what your budget or needs are, Unsloth AI has a plan that should work for you. They offer different tiers, including a free plan, Onslot Pro, and Onslot Max. Each one gives you different levels of training acceleration and memory usage improvements.

When you compare Unsloth AI’s software to other frameworks out there, like the ones from Hugging Face’s Transformers, it really stands out. It’s particularly good when you’re working with large datasets, offering impressive speed advantages that make it a great choice for AI developers.

Use a T4 GPU or Google Colab

One of the best things about this software is that it’s designed to work with the kind of hardware that many developers already have. For example, you can train your models on a standard T4 GPU, which means you can use platforms like Google Colab without needing to invest in expensive, specialized hardware.

The T4 GPU, developed by NVIDIA, is part of their Tesla series of GPUs, which are specifically designed for data center and AI workloads. It’s important to outline its key features and intended use:

  • Architecture: The T4 is based on the Turing architecture, which is also used in NVIDIA’s gaming and professional visualization products. This architecture is known for its efficiency and performance, particularly in AI and machine learning tasks.
  • AI and Machine Learning: One of the primary applications of the T4 is in AI and machine learning. It supports various AI frameworks and provides acceleration for AI inference and training tasks. Its architecture is optimized for these operations, making it a popular choice in environments where AI workloads are significant.
  • Tensor Cores: A distinctive feature of the T4 (and Turing architecture) is its Tensor Cores. These are specialized cores designed to accelerate deep learning tasks. They are highly efficient at performing the matrix operations which are common in neural network calculations.
  • Energy Efficiency: The T4 is notable for its energy efficiency. It delivers a significant amount of computing power for its size and power consumption, making it an attractive option for data centers where energy efficiency is a priority.
  • Versatility: Besides AI and ML, the T4 is also used for other data center workloads like graphics rendering, video processing, and general-purpose computing (thanks to its CUDA cores).
  • Form Factor and Deployment: The T4’s compact, low-profile design allows it to fit into a wide range of server and data center configurations. This flexibility is beneficial for businesses looking to integrate GPU acceleration without needing specialized hardware setups.
  • Multi-Precision Computing: The T4 supports mixed-precision computing, which allows it to adjust its precision level to optimize for performance or accuracy as needed. This is particularly useful in AI workloads where different stages of neural network training and inference can benefit from different levels of precision.

Adding Unsloth AI’s software to your current projects is easy. You won’t have to make big changes to your codebase, and the software is user-friendly when it comes to inputting data. It supports the Alpaca prompt template or format, so you can get started without any hassle. After you’ve finished training your models with Unsloth AI’s software, you can refine them and then use other packages for inference and deployment. This creates a smooth workflow that can save you money and help you develop your AI projects more quickly.

Unsloth AI’s new software package is a powerful tool that’s changing the way developers train large language models. It significantly reduces training time and memory requirements, works with a wide range of GPUs, and is easy to integrate into your existing projects. With this software, you can speed up your AI development and stay ahead in the competitive world of AI. Unsloth AI is helping to usher in a new era of AI model training, and it’s an exciting time to be a part of this field.

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