Tag: Talk

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Lanzamiento de I Want to Talk OTT: el drama familiar de Abhishek Bachchan ya está disponible para alquilar en Prime Video

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Después de su estreno en cines el 22 de noviembre de 2024, el drama familiar Quiero hablar, protagonizado por Abhishek Bachchan, llegó a la plataforma OTT. La película, que describe el viaje de un sobreviviente de cáncer, tuvo problemas en taquilla, recaudando 1 lakh de rupias. 1,95 millones de rupias en los primeros ocho días. Ahora su objetivo es encontrar una audiencia más amplia en línea. Inspirada en una historia real, la película explora temas de resiliencia, amor y conexión humana, y se espera que resuene en los espectadores en un entorno más íntimo.

Cuando y donde miro quiero hablar

Quiero hablar actualmente disponible para mi vecino En Amazon Prime Vídeo. A partir de ahora, los espectadores pueden alquilar la película por Rs. 349. Estará disponible de forma gratuita para todos los suscriptores Prime después de un mes. Este espectáculo brinda una oportunidad para que un público más amplio experimente la narrativa emocional de Arjun Sen, interpretado por Abhishek Bachchan, mientras navega por la vida con una enfermedad terminal.

Tráiler oficial y argumento de I Wanna Talk

el Tractor 'I Want to Talk' destaca el viaje emocional de Arjun Sen, un experto en marketing cuya vida da un vuelco después de que le diagnostican cáncer. Con su hija adolescente Raya a su lado, la historia captura su vínculo mientras enfrentan la noticia de su tiempo limitado juntos. Dirigida por Shoojit Sircar, la película combina momentos de desesperación y esperanza, reflejando los desafíos y la fuerza de los lazos familiares.

Reparto y equipo de la serie Quiero Hablar

el película Presenta a Abhishek Bachchan en el papel principal como Arjun Sen, junto a Ahilya Bamru como Rhea. El elenco incluye a Johnny Lever, Jayant Kriplani y un elenco secundario de actores como el Dr. Sivishnu Dossetty, la Dra. Tamanna Mohta y Natalie Zebek. La fotografía de Avik Mukhopadhyay, la edición de Chandrashekar Prajapati y la música de George Joseph contribuyeron a esta película. contar historias. Producida por Shail Kumar, Ronnie Lahiri, Karan Wadhwa y Kumar Thakur, la película es una producción de Rising Sun Films y Kino Works.

recepción quiero hablar

A pesar de su convincente historia, Quiero hablar tuvo una tibia recepción en taquilla. Las críticas mixtas del público y los críticos destacaron elogios por su desempeño y críticas por su ritmo. Tiene una calificación de 7,1/10 en IMDb.

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Tags Abhishek, alquilar, Bachchan, disponible, drama, está, familiar, lanzamiento, OTT, para, Prime, Talk, video

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Google Chrome will soon let you talk to Gemini right in the address bar

Post author By lisa nichols
Post date April 16, 2024
No Comments on Google Chrome will soon let you talk to Gemini right in the address bar

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Google appears to be working on adding quick access to its AI chatbot Gemini to the drop-down menu that appears in your address bar. If you want to talk to the bot quickly you’ll be able to type in ‘@gemini’ and get instant access to the bot.

According to Windows Report, Chrome is due to have a ‘chat with Gemini’ shortcut to the address bar, so you don’t have to go to the official Gemini website. The feature is yet to be widespread, but with the ‘chat with Gemini’ shortcut, you should be able to give it a try.

It’s not surprising to see Google forging ahead with its newest AI assistant in Chrome (and on Chromebooks) – in fact, Gemini was technically implemented into the browser back in February, when Google introduced an AI-powered ‘help me write’ feature. Microsoft has been pushing its own AI helper Copilot aggressively across everything from the Edge browser to Windows tablets. Google has demonstrated a more reserved approach to AI tools compared to Microsoft’s bull-in-a-china-shop efforts, but it makes sense that the search engine giant wants to keep pace with the competition.

How to use Gemini in Chrome right now

You can try typing out ‘@gemini’ and see if anything comes up, but as of right now it’s not functional – you can’t click on it or select it. It’s still part of a Chrome Canary patch, which is Google’s channel for testing out potential new features that enthusiasts and developers can try out and give feedback on.

If you’d like to try it out, you can launch and set up Chrome Canary, and once the test browser is installed you can enter chrome://flags in the address bar and hit enter. This should take you to the ‘Expansion pack page for the site’ and you’ll be able to enable the starter pack.

Restart the browser and you’re done! You should then be able to chat with Gemini from the address bar. Of course, as this is still in testing there’s no guarantee that it’ll work flawlessly, and we can’t be sure just yet that the feature will make it to the public version of the browser. However, if it does make it to the public it’ll be good news for Gemini fans or anyone who wants to get more familiar with the ChatGPT alternative.

The AI image generator that protects businesses: We talk to iStock about balancing creative freedoms and commercially safe tools

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Billed as a commercially safe AI image generator, iStock released its AI photo platform back in January 2024 – and during a live demo of the latest update, we spoke to Chief Product Officer Grant Farhall and Bill Bon, Director of Editing, about creative efficiencies, business-first AI, and what makes a good AI text-to-image prompt.

Famed for its stock media library, the company, owned by Getty Images, has been focused of late on creating a good, usable AI tool that’s accessible at pretty much every level of an organization. And a commercially safe one, too, untrained on copyrighted materials that might bring down unnecessary lawsuits on businesses big and small.

The latest additions to the toolkit, Refine and Expand, add an extra layer of creativity. We took a look at how they worked while discussing iStock’s AI future.

You can check out the iStock Ai generator by clicking here

Finding creative efficiencies

Business may be the order of the day, but Farhall told us that iStock has made sure the tool was fun to use. Fun. It’s a word that’s repeated often during the live demo, feeling like a byword for simple, accessible, engaging. And it’s hard to deny that using certain AI art generators can feel like a slog, especially professional tools with their unintuitive or overly complex interfaces. In contrast, iStock is trying to balance exciting capabilities with usability – a factor the company feels gets overlooked in the rush for AI-everything. “It’s all about making lives easier,” said Farhall, “Letting users create in an elevated way.”

That’s evidenced from the start, with the platform employing a helpful prompt builder that guides you through the key information needed to generate AI images. Better prompts means better results.

Refine and Expand, the platform’s latest tools, are another example of this. The former lets users highlight areas of AI-generated images, then prompting the tool to add objects and people, or tweak elements of the image. In one example, we’re shown how easy it is to add a scarf to a photorealistic image of a man, just by selecting the neck area and telling the AI what to add. In another, a tiger was added to a jungle scene.

Expand, a tool favoured by designer Bon, intelligently adds to the background. Streets become longer, more populated, woods thicker – and, Bon explained, those expansions should make contextual sense. The social media advantages for time-poor designers and non-designers, where every platform demands different image dimensions, are clear.

The focus is on the ability to “expand what’s possible”, said Farhall, “finding creative efficiencies”. With AI, anything is possible.

Well, almost anything.

It’s rare in a live demo that we’re intentionally shown the limitations of a product. Here, what the tool can’t do is announced with the sort of fanfare usually reserved for massive updates, new features. The iStock AI Generator is, effectively, a safe – commercially safe – sandbox. In part the goal, said Farhall, was to prove you don’t need a mass dataset culled from every corner of the internet to train an AI; that it’s possible to provide a transparent process where creators are compensated and businesses can feel confident using the platform.

The AI generator can’t, for instance, generate existing logos or celebrities or copyrighted images. Nike swooshes, Taylor Swift, Mickey Mouse, the golden arches of McDonalds – as far as the iStock AI is concerned, these things simply do not exist. They’re not part of the training model, they’ll never be generated. Nor will a company’s AI generations get cycled back into the model. It’s a creative silo for businesses.

Since unveiling its tool, iStock has gone hard on legal business protections. From the beginning, it offered the same $10K legal coverage enjoyed by users of its pre-shot media library. The company hopes this will allow for seamless use between its AI and the stock media platforms.

That’s essential, Farhall explained, since the real issue with AI is that it’s always “looking back.” He cited the pandemic as an example, where photographers could be commissioned to get current images. Users, then, should get the best of both worlds. Expect closer integration between the two worlds, too. We’re told the ability to use the AI tool to edit and refine pre-shot is in the pipeline, and users will also soon be able to fine-tune AI images to create branded generations in May.

Before wrapping up, we ask veteran prompt writer Bon the secret behind what makes a good text-to-image prompt? He explained that it’s experimentation, but a good AI text prompt places important details at start. Make it long, 30-40 words using cinematic language, like whimsical and spooky, and include specifics like subjects and lighting style. And use image filters to make photoreal images more filmic. So, now we know.

Misleading talk about iPhone demand in China costs Apple $490M

Post author By miranda cosgrove
Post date March 15, 2024
No Comments on Misleading talk about iPhone demand in China costs Apple $490M

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Misleading talk about iPhone demand in China costs Apple $490 million — Tim Cook didn’t give investors the truth about iPhone demand in China in 2018 and it’s costing the company.
*Photo: Ed Hardy/Cult of Mac*

Apple reportedly settled a class action lawsuit that accused the company of hiding news of declining iPhone demand in China. It concerns comments made by CEO Tim Cook during an investor call back in 2018.

The iPhone-maker is allegedly paying a $490 million settlement.

Apple pays up after misleading comments about iPhone demand in China

When a CEO stretches the truth about the company they run, they face consequences. In a prominent example, tweets Elon Musk made in 2018 about taking EV-maker Tesla private resulted in a $40 million fine and a requirement that he resign as Tesla chairman. Now it’s Tim Cook’s turn.

When speaking to investors in November 2018, Cook said that iPhone demand was declining in some counties but that China was not one of them. Two months later, Cook penned an open letter to investors warning that Apple revenue wouldn’t meet expectations because of declining iPhone demand in China. A class action lawsuit accused the CEO of deliberately deceiving investors.

Apple and the plaintiffs have reached a preliminary settlement, according to Reuters. Apple agreed to pay $490 million but admit no wrongdoing. The money will be available to investors who bought AAPL shares after Cook’s November 2018 comment but before the January 2019 open letter.

The settlement has not yet been approved. That’s up to U.S. District Judge Yvonne Gonzalez Rogers.

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Tags 490M, Apple, China, costs, demand, iPhone, Misleading, Talk

News

Deals: JLAB Talk Pro USB Microphone, save 67%

Post author By miranda cosgrove
Post date January 25, 2024
No Comments on Deals: JLAB Talk Pro USB Microphone, save 67%

JLAB Talk Pro

Are you a podcaster, a musician, a gamer, or a voiceover artist looking for a way to elevate your audio game? Look no further than the Talk Pro USB Microphone. This professional-level microphone is designed to deliver clear, detailed sound that will make your content stand out. Whether you’re recording a podcast, streaming a game, creating music, or doing voiceovers, the Talk Pro has got you covered.

The Talk Pro is not just a microphone; it’s a complete audio solution. It features three condensers and four directional pattern modes (Cardioid, Omnidirectional, Stereo, and Bidirectional) to cater to your specific recording needs. It’s easy to install and USB compatible, making it a breeze to set up and start using. Plus, it comes with a 10-foot USB/USB-C cable for added convenience.

JLAB Talk Pro

Key Features of the Talk Pro USB Microphone

192 kHz/24-bit resolution for professional-grade recording
Three condensers and four directional pattern modes for versatile recording
Volume and gain adjustments for precise control over your audio
Quick-mute feature for easy audio management
3.5mm AUX input for real-time listening with zero latency
10-foot USB/USB-C cable included for easy setup
Compatible with Windows 7, 8, 10 and Mac 10.10 or higher
Manufacturer’s 2-year warranty for peace of mind

The Talk Pro is more than just a tool; it’s an investment in your creative journey. With its professional-grade recording capabilities, it can help you produce content that resonates with your audience and sets you apart from the competition. And with its easy installation and user-friendly features, it’s a joy to use, even for beginners.

But don’t just take our word for it. Experience the Talk Pro USB Microphone for yourself and see how it can transform your audio game. Whether you’re a seasoned pro or just starting out, the Talk Pro is a game-changer that can help you reach new heights in your creative endeavors. So why wait? Elevate your audio game with the Talk Pro today.

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Tags Deals, JLAB, microphone, Pro, Save, Talk, USB

News

ChatGPT and how Neural Networks learned to talk

Post author By miranda cosgrove
Post date December 7, 2023
No Comments on ChatGPT and how Neural Networks learned to talk

ChatGPT and how Neural Networks learned to talk a 30 year journey

Thanks to the incredible advancements in neural networks and language processing computers can understand and respond to human language just as another person might. The journey from the first moments of doubt to the current state of achievement is a tale of relentless innovation and discovery. The Art of the Problem YouTube channel has created a fantastic history documenting the 30 year journey that has brought us to ChatGPT-4 and other AI models.

Back in the 1980s, the notion that machines could grasp the nuances of human language was met with skepticism. Yet, the evolution of neural networks from basic, single-purpose systems to intricate, versatile models has been nothing short of remarkable. A pivotal moment came in 1986 when Michael I. Jordan introduced recurrent neural networks (RNNs). These networks had memory cells that could learn sequences, which is crucial for language understanding.

The early 1990s saw Jeffrey Elman’s experiments, which showed that neural networks could figure out word boundaries and group words by meaning without being directly told to do so. This discovery was a huge step forward, suggesting that neural networks might be able to decode language structures on their own.

How Neural Networks learned to talk

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As we moved into the 2010s, the push for larger neural networks led to improved language prediction and generation abilities. These sophisticated models could sift through massive data sets, learning from context and experience, much like how humans learn.

Then, in 2017, the Transformer architecture came onto the scene. This new method used self-attention layers to handle sequences all at once, effectively overcoming the memory constraints of RNNs. The Transformer model was the foundation for the Generative Pretrained Transformer (GPT) models.

GPT models are known for their incredible ability to learn without specific examples, following instructions and performing tasks they haven’t been directly trained on. This was a huge leap forward in AI, showing a level of adaptability and understanding that was once thought impossible.

ChatGPT, a variant of these models, became a tool that many people could use, allowing them to interact with an advanced language model. Its ability to hold conversations that feel human has been impressive, indicating the enormous potential of these technologies.

One of the latest breakthroughs is in-context learning. This allows models like ChatGPT to take in new information while they’re being used, adapting to new situations without changing their underlying structure. This is similar to how humans learn, with context playing a vital role in understanding and using new knowledge.

However, the rapid progress has sparked a debate among AI experts. Are these models truly understanding language, or are they just simulating comprehension? This question is at the heart of discussions among professionals in the field.

Looking ahead, the potential for large language models to act as the basis for a new type of operating system is significant. They could transform tasks that computers typically handle, marking a new era of how humans interact with machines.

The road from initial doubt to today’s advanced language models has been long and filled with breakthroughs. The progress of neural networks has transformed language processing and paved the way for a future where computers might engage with human language in ways we never thought possible. The transformative impact of these technologies continues to reshape our world, with the promise of even more astounding advancements on the horizon.

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Tags ChatGPT, learned, Networks, Neural, Talk

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Talk to Your Database a new way to interact with your data

Post author By miranda cosgrove
Post date December 5, 2023
No Comments on Talk to Your Database a new way to interact with your data

Talk to Your Database a new way to interact with your data

Imagine a world where you could simply talk to your database as if it were a colleague, asking questions and getting the information you need without the hassle of complex SQL queries. This is no longer a figment of the imagination, but a reality with the introduction of a new tool that’s transforming the way we interact with databases. This tool, known as Talk to Your Database, harnesses the power of natural language processing to make database management a breeze.

The beauty of Talk to Your Database lies in its minimalistic user interface, which is designed to keep you focused on your work without any unnecessary distractions. At the heart of this interface is a simple input field where you can type in your request in plain English. The system then works its magic, translating your natural language into a precise SQL query. This means you can retrieve data, generate reports, and perform analyses with ease, all by using simple, conversational language.

When it comes to managing databases, security is always a paramount concern. Talk to Your Database takes this seriously by establishing read-only connections to your database, ensuring that your data remains unaltered and secure. The tool also enforces strict data retention policies to protect sensitive information and includes built-in stop words to prevent unauthorized commands. With these security measures in place, you can have peace of mind knowing that your database interactions are safe and secure.

Talk to Your Database

Here are some other articles you may find of interest on the subject of artificial intelligence :

One of the standout features of Talk to Your Database is its customization options. You have the freedom to tweak settings to your preference, including how query results are displayed. This level of customization means that you can tailor the tool to fit your workflow perfectly, enhancing your productivity and efficiency.

For those who are cautious about working with live data, Talk to Your Database offers a solution with its demo database connection. This feature allows you to practice your queries and train new users without the risk of affecting real data. It’s an excellent way to build confidence and explore the capabilities of the tool without any potential consequences.

Your input is crucial to the growth and improvement of “Talk to Your Database.” The tool includes a feedback system that enables you to report any issues, suggest improvements, or request help. This ongoing dialogue between users and developers is essential for the tool to evolve and meet the growing demands of database management.

Looking ahead, the new method of communicating with databases and interacting with data is set to become even more intuitive with the introduction of features like autocomplete, which will help speed up the process of formulating queries. The future also holds exciting developments such as voice command capabilities and AI agents, which promise to simplify database interactions even further.

For those who are always seeking the next level of functionality, a pro version of Talk to Your Database is on the horizon, with a release date set for 2024. This version will include additional advanced features to supercharge your productivity. If you’re someone who likes to stay ahead of the curve, there’s an early sign-up discount available, offering even more value.

The journey behind the development of Talk to Your Database has been documented in a series of videos created by IndyDevDan that provide a deep dive into the world of Postgres data analytics and AI-driven product development. These videos offer a rare glimpse into the meticulous process of creating a sophisticated tool like Talk to Your Database.

Talk to Your Database is poised to change the way you engage with databases. With its intuitive interface, robust security measures, and personalization options, it’s designed to streamline your data management tasks. As you look forward to the pro version and the innovative features on the horizon, you can expect your interactions with databases to become significantly more efficient and user-friendly.

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Tags Data, Database, interact, Talk