#Generative AI Company

[ahex-technologies]

Personalize, Predict, Produce: Generative AI Solutions for Business Success

In the ever-evolving landscape of artificial intelligence (AI), Generative AI is emerging as a transformative force, offering businesses unprecedented opportunities for personalization, prediction, and production. As a leading Generative AI development company, we at Ahex Technologies are at the forefront of harnessing this cutting-edge technology to empower businesses across various industries.

Unlocking the Potential of Generative AI Development Services:

Generative AI is more than just a buzzword; it's a game-changer in the realm of AI applications. Our Generative AI development services are designed to bring innovation to the forefront, providing businesses with solutions that personalize user experiences, predict market trends, and produce creative content seamlessly.

Generative AI Consulting: Navigating the Future of Innovation:

Our Generative AI consulting services go beyond development, guiding businesses on how to leverage this transformative technology effectively. We work collaboratively with organizations to identify areas where Generative AI can enhance operations, streamline processes, and unlock new possibilities.

AI Generator: Redefining Possibilities in AI Applications:

At the heart of Generative AI lies the AI generator—a powerful tool that redefines possibilities in AI applications. From image synthesis to content creation, our Generative AI solutions leverage advanced AI generators to produce dynamic and tailored outputs.

Top Generative AI Companies: Leading the Charge in Innovation:

As one of the top Generative AI companies, we pride ourselves on our commitment to innovation and excellence. Our team of experts harnesses the full potential of Generative AI to develop solutions that not only meet but exceed the expectations of our clients.

The Generative AI Advantage:

Generative AI models are at the core of our approach, enabling businesses to personalize customer interactions, predict market trends with accuracy, and produce creative content efficiently. This advantage positions companies at the forefront of their industries, fostering a competitive edge in today's dynamic business landscape.

Building the Future with Generative AI Applications:

The applications of Generative AI are vast and diverse. From automating design processes to revolutionizing content creation, our Generative AI solutions empower businesses to build a future where innovation knows no bounds.

In conclusion, Generative AI is not just a technological trend; it's a strategic imperative for businesses seeking to personalize, predict, and produce at unprecedented levels. Partner with [Your Company Name] to embark on a transformative journey into the world of Generative AI, where the future of business success is personalized, predicted, and produced with unparalleled precision.

For more details, visit Ahex Technologies

[art-is-kayos]

Checking up on his commission

[ritzy-biscuit]

FUCK GENERATIVE AI

Full article here

It's disgusting that we see more and more companies using AI to avoid paying creatives just to fill their own pockets. What hurts the most are companies like Wacom and Michaels and others, that are all about uplifting artists and creativity, using obvious AI.

Then you have these fake ass ppl using these generative AI programs calling themselves "artists" and scamming people. If anyone is on artist TikTok you might have come across a vid of a writer who commissioned an "artist" to illustrate a book cover. Poor woman found out the illustration was in fact AI after being urged by the comments to request the files and even the scammer themselves said they used AI. Something the scammer didn't disclose in their description. The writer spent over $1000 for this cover thinking she was commissioning a genuine artists.

The good thing is that artists are fighting back (and winning) and AI isn't copyrightable or protected.

[forgwater]

[ritasanderson]

1999 arg implication that it was DE who been messing with the infestation and, probably, made On - Lyne, makes On - Lyne's website creator being Rebecca F even funnier

[oooocleo]

at some point do we just start a worldwide trade network of images we printed out via the post lol

[reasonsforhope]

"Major technology companies signed a pact on Friday to voluntarily adopt "reasonable precautions" to prevent artificial intelligence (AI) tools from being used to disrupt democratic elections around the world.

Executives from Adobe, Amazon, Google, IBM, Meta, Microsoft, OpenAI, and TikTok gathered at the Munich Security Conference to announce a new framework for how they respond to AI-generated deepfakes that deliberately trick voters. 

Twelve other companies - including Elon Musk's X - are also signing on to the accord...

The accord is largely symbolic, but targets increasingly realistic AI-generated images, audio, and video "that deceptively fake or alter the appearance, voice, or actions of political candidates, election officials, and other key stakeholders in a democratic election, or that provide false information to voters about when, where, and how they can lawfully vote".

The companies aren't committing to ban or remove deepfakes. Instead, the accord outlines methods they will use to try to detect and label deceptive AI content when it is created or distributed on their platforms. 

It notes the companies will share best practices and provide "swift and proportionate responses" when that content starts to spread.

Lack of binding requirements

The vagueness of the commitments and lack of any binding requirements likely helped win over a diverse swath of companies, but disappointed advocates were looking for stronger assurances.

"The language isn't quite as strong as one might have expected," said Rachel Orey, senior associate director of the Elections Project at the Bipartisan Policy Center. 

"I think we should give credit where credit is due, and acknowledge that the companies do have a vested interest in their tools not being used to undermine free and fair elections. That said, it is voluntary, and we'll be keeping an eye on whether they follow through." ...

Several political leaders from Europe and the US also joined Friday’s announcement. European Commission Vice President Vera Jourova said while such an agreement can’t be comprehensive, "it contains very impactful and positive elements".  ...

[The Accord and Where We're At]

The accord calls on platforms to "pay attention to context and in particular to safeguarding educational, documentary, artistic, satirical, and political expression".

It said the companies will focus on transparency to users about their policies and work to educate the public about how they can avoid falling for AI fakes.

Most companies have previously said they’re putting safeguards on their own generative AI tools that can manipulate images and sound, while also working to identify and label AI-generated content so that social media users know if what they’re seeing is real. But most of those proposed solutions haven't yet rolled out and the companies have faced pressure to do more.

That pressure is heightened in the US, where Congress has yet to pass laws regulating AI in politics, leaving companies to largely govern themselves.

The Federal Communications Commission recently confirmed AI-generated audio clips in robocalls are against the law [in the US], but that doesn't cover audio deepfakes when they circulate on social media or in campaign advertisements.

Many social media companies already have policies in place to deter deceptive posts about electoral processes - AI-generated or not... 

[Signatories Include]

In addition to the companies that helped broker Friday's agreement, other signatories include chatbot developers Anthropic and Inflection AI; voice-clone startup ElevenLabs; chip designer Arm Holdings; security companies McAfee and TrendMicro; and Stability AI, known for making the image-generator Stable Diffusion.

Notably absent is another popular AI image-generator, Midjourney. The San Francisco-based startup didn't immediately respond to a request for comment on Friday.

The inclusion of X - not mentioned in an earlier announcement about the pending accord - was one of the surprises of Friday's agreement."

-via EuroNews, February 17, 2024

--

Note: No idea whether this will actually do much of anything (would love to hear from people with experience in this area on significant this is), but I'll definitely take it. Some of these companies may even mean it! (X/Twitter almost definitely doesn't, though).

Still, like I said, I'll take it. Any significant move toward tech companies self-regulating AI is a good sign, as far as I'm concerned, especially a large-scale and international effort. Even if it's a "mostly symbolic" accord, the scale and prominence of this accord is encouraging, and it sets a precedent for further regulation to build on.

[stephofromcabin12]

I’ve spoken positively about National Novel Writing Month before and so I am sad to have to take it all back.

If you’re not aware, NaNoWriMo recently endorsed the use of generative AI in writing practices, and their statement even went as far as to say that anti-AI views are “classist” and and “ableist”.

There is no ethical use for generative AI, as we speak. Using AI, even for something as simple as rephrasing an email or generating a profile picture, means that you’re actively using thousands of stolen works, a lot of which are copyrighted and/or protected in some way. (That’s why most companies behind generative AI’s are currently facing multiple lawsuits from various artists and companies who’ve found their work was used to train the AI models without their consent and without promise of compensation)

I’m an artist. I’m a writer. I cannot in any way endorse generative AI as long as it’s built on stolen artwork by my fellow artists, and possibly even myself. There is no world in which using generative AI makes you an artist. Currently, it just makes you complacent in art theft at worst and lazy at best.

It’s not classist to say that, and it’s not ableist either. Lot’s of writers and artists have physical or mental disabilities and/or come from a middle-to-low-class background. Your financial standing, and whether or not you’re disabled, does not define your ability to create art, as so many incredible artists throughout history have proven by continuing to make art on their own terms. I used to say that there’s no wrong way to make art. I was wrong. Generative AI proved me wrong.

The statement specifically emphasized AI as a way to get proofreading and editing done without needing to pay for a professional editor. But beta-readers have always existed for this very reason; it’s just another human connection AI seeks to eliminate in the name of “efficiency”.

There are books on editing that can be found and read in libraries, if you don’t have money to buy them. There are articles and videos made by actual experts in their field that can be found for free. I trust them far more than whatever botched mosaic of words AI spits out, which might not even be remotely correct, as most AI models openly allow errors.

So, my point is: Don’t use NaNoWriMo.

There are other ways to track your progress. There are other places to find community and writing groups. There are far better ways of creating art that won’t compromise the ethics of being an artist and, most likely, the law.

It sucks that I have to say this. It sucks that NaNoWriMo apparently has had a nosedive in it’s quality and moral standings that was steep enough that nearly all their employees quit.

But that’s where we are now, apparently. And so that’s where I stand.

That’s all.

[systango-technologies]

Generative AI in Action: Real-World Applications Across Industries

In an era where technological advancements are reshaping industries, Generative Artificial Intelligence (GenAI) is at the forefront of this transformation. AI agents, powered by GenAI, are becoming pivotal in addressing critical challenges faced by businesses today.

This blog explores how AI agents are transforming sectors like customer support, healthcare, finance, manufacturing, retail, HR, and education. We’ll highlight real-life examples of these AI-driven tools solving critical industry problems and enhancing efficiency.

Discover how integrating GenAI can address current challenges and set the stage for a smarter, more competitive future.

GenAI-powered AI Agents: Industry-wise Use Cases

AI agents, driven by GenAI technologies, are expected to see widespread adoption, with 82% of organisations planning to use them within the next 1–3 years.

Estimated to yield $2.6 trillion to $4.4 trillion annually in value across more than 60 use cases, the potential value of GenAI enterprise use cases is substantial.

Let’s have a look at some of the major industry-wise use cases of GenAI in the form of AI Agents:

I. AI Agents in Customer Support

1. Automated Customer Support

Businesses often face long wait times and high operational costs due to manual customer support processes. GenAI uses chatbots to handle routine queries instantly, reducing wait times and operational costs by minimising human involvement.

2. Sentiment Analysis

Companies struggle to accurately gauge customer sentiment, delaying issue resolution and impacting retention. GenAI performs real-time sentiment analysis, identifying customer mood and issues early to enable proactive problem-solving.

3. Personalised Recommendations

Retailers provide generic recommendations that fail to engage customers or drive sales. This is rectified via the usage of GenAI which analyses customer data to deliver customised recommendations, enhancing engagement and increasing sales through tailored suggestions.

4. 24/7 Customer Assistance

Traditional support teams are limited by business hours, causing dissatisfaction for customers needing help outside these times. GenAI-powered virtual assistants provide round-the-clock support, ensuring continuous availability and improving customer satisfaction.

5. Chatbots for FAQ Management

Manually managing FAQs is labour-intensive and inconsistent, leading to customer frustration. GenAI chatbots automate FAQ management, offering consistent and accurate responses, and allowing human agents to address more complex issues.

Example of AI Agents in Customer Support: OpenAI’s ChatGPT

II. AI Agents in Healthcare

1. Medical Diagnostics

Diagnosing conditions can be slow and error-prone, leading to delays and misdiagnoses. AI agents help analyse medical images and patient data with advanced algorithms, improving diagnostic speed and accuracy by detecting patterns and anomalies more precisely than human radiologists.

2. Personalised Treatment Plans

Crafting effective treatment plans is challenging due to diverse patient data and responses. GenAI uses patient data and treatment databases to create tailored treatment plans, recommending the most effective therapies based on individual medical history and genetic information.

3. Patient Monitoring

Continuous real-time monitoring is often limited by manual processes and frequent human intervention. AI agents powered by GenAI employ wearables and sensors for continuous health monitoring, detecting early signs of issues and alerting providers for timely intervention.

4. Drug Discovery

Drug discovery is lengthy, costly, and involves extensive trial and error. GenAI speeds up drug discovery by analysing molecular and biological data, identifying promising drug candidates and predicting their effectiveness, reducing time and costs.

5. Administrative Tasks

Manual handling of administrative tasks leads to inefficiencies and burdens on healthcare staff. Generative AI applications automate scheduling, record management, and billing, streamlining administrative processes and freeing up healthcare professionals to focus on patient care.

Example of AI Agents in Healthcare: DeepMind’s AlphaFold

III. AI Agents in Finance

1. Fraud Detection

Detecting fraud is challenging due to high transaction volumes and complex patterns, causing delays and losses. GenAI uses advanced algorithms to analyse transaction patterns in real-time, spotting anomalies and unusual behaviours that indicate fraud, enabling prompt alerts and mitigation.

2. Investment Strategies

Developing investment strategies is complex and slow, with traditional methods struggling to process large data volumes. AI agents analyse market trends and historical data to inform investment decisions, identify opportunities, optimise portfolios, and execute trades autonomously.

3. Risk Management

Managing financial risks is difficult due to complex factors and data volumes, often leading to ineffective strategies. GenAI evaluates diverse data sources and models various risk factors, predicting potential risks and impacts to enhance risk management strategies.

4. Customer Service and Support

Traditional finance customer service is slow and limited, with long wait times and restricted availability. GenAI-powered chatbots and virtual assistants for 24/7 support, handling inquiries, transactions, and account information instantly, boosting customer satisfaction.

5. Regulatory Compliance

You might also like to read: How are AI Agents Transforming Global Business Operations?

IV. AI Agents in Manufacturing

1. Predictive Maintenance

Unexpected equipment breakdowns cause costly downtime and production delays. Generative AI applications use sensor data and predictive analytics to foresee equipment failures, allowing for timely maintenance and reducing unplanned downtime.

2. Quality Control

Manual quality inspections are prone to errors, leading to defects and inconsistencies. AI agents powered by GenAI leverage computer vision to automate quality control, detecting defects in real-time with high accuracy, ensuring only top-quality products are produced.

3. Supply Chain Optimisation

Managing supply chains without real-time insights leads to inefficiencies and increased costs. Generative AI applications analyse data to forecast demand, adjust inventory levels, and streamline logistics, optimising supply chain operations and reducing costs.

4. Production Scheduling

Traditional scheduling is inflexible and slow, causing inefficiencies and delays. AI Agents help create dynamic production schedules using real-time data, adapting to demand changes and disruptions for optimal resource use.

5. Energy Management

V. AI Agents in Retail and E-commerce

1. Personalised Shopping Experience

Generic shopping experiences lead to lower engagement and conversion rates. GenAI analyses customer data to deliver tailored recommendations and targeted marketing, enhancing satisfaction and boosting sales with relevant product suggestions.

2. Inventory Management

Overstocking and stockouts result from inaccurate demand forecasting and inefficient practices. Generative AI applications forecast demand using sales data and trends, optimising inventory levels and automating reordering to improve product availability and reduce costs.

3. Customer Insights and Analytics

Gaining actionable insights from complex customer data is challenging, hindering decision-making. AI agents process and analyse customer data to reveal trends and preferences, enabling informed decisions and strategies to boost engagement and loyalty.

4. Pricing Optimisation

Setting optimal prices is difficult with traditional methods that overlook dynamic market conditions. GenAI adjusts prices in real-time by analysing market data and competitor pricing, optimising revenue and maintaining competitiveness.

5. Fraud Prevention

VI. AI Agents in Human Resources

1. Recruitment and Talent Acquisition

Traditional recruitment is time-consuming and biassed, leading to delays and suboptimal hires. AI Agents help to automate resume screening and initial interviews, evaluating candidates based on skills and fit. This speeds up the hiring process and reduces bias, improving the quality of talent acquisition.

2. Employee Onboarding

Manual onboarding is inefficient and inconsistent, affecting new employee engagement and productivity. GenAI automates paperwork, provides customised training, and answers questions in real-time. This ensures a smooth onboarding experience and enhances new hire satisfaction.

3. Performance Management

Traditional systems lack real-time feedback and actionable insights, leading to misaligned goals and disengagement. AI agents offer continuous performance tracking and real-time feedback providing insights and recommendations for improvement, aligning goals and enhancing performance management.

4. Employee Engagement and Retention

Without actionable insights, engaging and retaining employees is challenging, resulting in high turnover rates. GenAI analyses feedback and performance data to gauge engagement and identify retention risks. AI agents recommend strategies to improve workplace culture and reduce turnover.

5. Training and Development

Our Reading Recommendation: Your Guide to Mastering Generative AI for Competitive Advantage

VII. AI Agents in Education

1. Personalised Learning

Traditional systems often use a one-size-fits-all approach, leading to disengagement and poor outcomes. GenAI customises educational content by analysing student performance and preferences. AI agents adapt lesson plans and provide targeted support, improving engagement and learning results.

2. Administrative Support

Administrative tasks like scheduling and record-keeping are time-consuming and error-prone. Generative AI applications automate tasks such as class scheduling and student record management. AI agents streamline administrative processes, increasing efficiency and reducing workload.

To read full blog Visit -https://www.systango.com/blog/generative-ai-in-action-real-world-applications-across-industries

[lesbiancarat]

want to give my two cents on the AI usage in the maestro trailer--

i think seventeen doing a whole concept that is anti-AI is very cool, especially as creatives themselves i think it's good that they're speaking up against it and i hope it gets more ppl talking about the issue. i also understand on a surface level the artistic choice (whether it was made by the members, the mv director, or whoever else), to directly use AI in contrast to real, human-made visuals and music in order to criticize it. i also appreciate that they clearly stated the intention of the use of AI at the beginning of the video

however, although i understand it to an extent, i do not agree with the choice to use AI to critique AI. one of the main ethical concerns with generative AI is that it is trained on other artists' work without their knowledge, consent, or compensation. and even when AI generated images are being used to critique AI, it still does not negate this particular ethical concern

the use of AI to critique also does not negate the fact that this is work that could have been done by an actual artist. i have seen some people argue that it's okay in this context because it's a critique specifically about AI, and it is content that never would have been done by a real artist anyway because it doesn't make sense for the story they're trying to tell. but i disagree. i think you can still tell the exact same story without using AI

and in fact, i would argue that it would make the anti-AI message stronger if they HAD paid an artist to draw/animate the scenes that are supposed to represent AI generated images. wouldn't it just be proof that humans can create images that are just as bad and nonsensical and soulless as AI, but that AI can't replicate the creativity and beauty and basic fucking anatomy that's in human-made art?

it feels very obvious this was not just a way to cut corners and costs like a lot of scummy people are using AI for. ultimately it was a very intentional creative decision, i just personally think it was a very poor one. and even if some ethical considerations were taken into account before this decision, i certainly don't think all of them were. at the very least i feel like the decision undermines the message they want to convey

i would also like to recognize that i myself am not an artist, and i have seen some artists that are totally on board with the use of AI in this specific context, so clearly this is not a topic that is cut and dry. but generative AI is still new, and i think it's important to keep having these conversations

[eraserheadadult]

clicked on this ad and was not disappointed

[archivlibrarianist]

"...Nightshade, a project from the University of Chicago, gives artists some recourse by 'poisoning' image data, rendering it useless or disruptive to AI model training. Ben Zhao, a computer science professor who led the project, compared Nightshade to 'putting hot sauce in your lunch so it doesn’t get stolen from the workplace fridge.'

"...Zhao and his team aren’t trying to take down Big AI — they’re just trying to force tech giants to pay for licensed work, instead of training AI models on scraped images. 

"'There is a right way of doing this,' he continued. 'The real issue here is about consent, is about compensation. We are just giving content creators a way to push back against unauthorized training.'"

[faunandfloraas]

Full offense but fans who get to go to fanmeets or performances and get close enough to take pictures and then proceed to whitewash the boys or maybe even face app their features so a nose looks smaller or sharper, skin texture is non existant, etc etc. Are literally bastards to me. You don't deserve to be there.

[aslightaddity]

It is unnerving how AI has been advertised to just let people be worse

The Google Gemini or whatever it’s called has an Ad that’s going round that has a girl trying to find an excuse to cancel dinner with her friends which like?? Just tell them straight up and don’t AI Google it INFRONT OF THEM. Also the Google generative search answers can be notoriously horrible such as the instance where it suggested adding glue to your cheese if it wasn’t sticking to a pizza

And then there was one for an Essay writing which— again still academic fraud and worsens peoples writing and typing stamina and for some reason is making people feel bad for actually doing their work??— in the ad the essay was like 2,000 words and the dude was like “yeah it’s gonna take like 2 hrs” which is more or less accurate and then the other dude just hijacks it and makes AI finish it

There was another I believe from Apple with fashion/creative design and they weren’t even trying to make it seem like the designs looked good, honestly it looked exactly how you’d imagine AI generated interesting fashion would look, and it basically advertised to help get more done and faster. What’s the point of going into a creative industry if you’re going to out source it to Ai

These Ai aren’t helping most anyone and the ones they are ‘helping’ are helping them exploit their workers, be dishonest on important life skills, and avoid being held accountable honestly. It’s fucking infuriating and disgusting

Anyways it’s like 6 am rn and I am having feelings about Ai.