#gen ai development

[cubixglobal]

How to Build an LLM Like DeepSeek?

This blog elaboraes how DeepSeek built an LLM model that’s just as good as ChatGPT for a fraction of the cost. We’ll also explore the steps AI startups can take to build such models on their own and how partnering with a trusted AI development company like Cubix can help.

[muthu98]

Generative AI Development Services Company—GeekyAnts Lead with Generative AI! GeekyAnts' Generative AI development services crafts intelligent solutions for businesses. Unleash creativity, boost efficiency, drive superior results. Be future-ready, today!

[10001gecs]

one 100 word email written with ai costs roughly one bottle of water to produce. the discussion of whether or not using ai for work is lazy becomes a non issue when you understand there is no ethical way to use it regardless of your intentions or your personal capabilities for the task at hand

with all due respect, this isnt true. *training* generative ai takes a ton of power, but actually using it takes about as much energy as a google search (with image generation being slightly more expensive). we can talk about resource costs when averaged over the amount of work that any model does, but its unhelpful to put a smokescreen over that fact. when you approach it like an issue of scale (i.e. "training ai is bad for the environment, we should think better about where we deploy it/boycott it/otherwise organize abt this) it has power as a movement. but otherwise it becomes a personal choice, moralizing "you personally are harming the environment by using chatgpt" which is not really effective messaging. and that in turn drives the sort of "you are stupid/evil for using ai" rhetoric that i hate. my point is not whether or not using ai is immoral (i mean, i dont think it is, but beyond that). its that the most common arguments against it from ostensible progressives end up just being reactionary

i like this quote a little more- its perfectly fine to have reservations about the current state of gen ai, but its not just going to go away.

[pocket-size-cthulhu]

Data thieves when someone steals the stolen data:

The article is well worth the read.

[daemon-in-my-head]

Just saw the news regarding twitters updated terms of service and AI training

Glad that I'm solely using it for work 9/10 times anyway. The chances of me posting there were low, but consider them pretty much 0 atp lmfao

[elsa16744]

10 Ways Artificial Intelligence is Transforming the Market Research Industry

Artificial intelligence (AI) is revolutionizing various industries, and the market research solutions sector is no exception. By harnessing the power of AI, companies can gain deeper insights into consumer behavior, optimize their strategies, and make data-driven decisions with greater precision. In this article, we’ll explore 10 transformative ways AI is reshaping the market research industry and how Gen AI development solutions are at the forefront of this evolution.

Understanding What Market Research Necessitates

Market research is essential for businesses seeking to understand consumer needs, preferences, and market dynamics. It involves collecting and analyzing data from various sources to inform strategic decisions. Effective market research solutions help brands grow by uncovering valuable insights into consumer behavior, market trends, and competitive positioning.

10 Ways Artificial Intelligence is Transforming the Market Research Industry

1. Context-Aware Virtual Chatbots

The use of context-aware virtual chatbots has become increasingly popular in market research. These advanced AI-driven tools engage customers in meaningful conversations, gather qualitative feedback, and provide insights into consumer preferences. By automating interactions and analyzing responses, businesses can enhance their market research efforts and increase survey participation.

2. Real-Time Behavior Monitoring

AI-powered tools enable real-time behavior monitoring, offering valuable insights into consumer interactions and product usage patterns. This real-time data helps businesses identify trends, optimize user experiences, and improve customer satisfaction.

3. Unstructured Data Processing

Processing unstructured data from sources like social media, news articles, and multimedia content is a critical aspect of market research. AI-driven solutions excel at unstructured data processing, turning diverse information into actionable insights for market research strategies.

4. Emotion-Driven Profiling

AI technologies enable emotion-driven profiling by analyzing sentiment and emotional responses from customer feedback. This approach helps businesses understand emotional drivers behind consumer behavior and refine their marketing strategies.

5. Predictive Analytics

With predictive analytics, AI helps market researchers forecast future trends, customer behaviors, and market shifts. These insights empower businesses to make informed decisions and stay ahead of the competition.

6. Customer Segmentation

AI enhances customer segmentation by analyzing data to group consumers based on shared characteristics. This segmentation enables businesses to create targeted marketing campaigns and improve customer engagement.

7. Cost-Time Analysis and Optimization

AI solutions streamline market research processes, reducing both cost and time. Through automation and advanced analytics, businesses can conduct comprehensive market studies efficiently, making cost-time optimization accessible to companies of all sizes.

8. Extensive Automation

AI facilitates extensive automation in market research tasks, allowing for continuous data collection and analysis. This automation frees up resources and enables employees to focus on strategic decision-making.

9. Product Performance Simulation

AI-driven product performance simulations allow businesses to test and refine product concepts in virtual environments. These simulations provide valuable insights into product durability, user experience, and potential improvements.

10. Risk Monitoring and Resolution

AI-powered risk monitoring tools help businesses identify potential issues in marketing strategies and product developments. By analyzing data for risk monitoring, businesses can implement proactive measures and ensure resilience against market fluctuations.

Conclusion

AI is a game-changer for the market research industry, offering innovative solutions for data analysis, customer engagement, and strategic planning. By exploring advanced market research solutions and leveraging Gen AI development solutions, businesses can unlock new opportunities and stay competitive in a rapidly evolving market landscape. Embracing these technologies will be crucial for market research professionals looking to drive success in the future.

[bloodmoonlich]

I'm all in on supporting environmental causes, but I don't believe asking individuals to make sacrifices is what's needed in most places. We need to change the root of the issues - capitalism. Pretty much every environmental issue comes back to that.

[benjaminvalor]

Top AI Chatbot Development Company: What It Is and How It Works?

Introduction  

Artificial intelligence (AI) is transforming businesses across industries, and chatbots have become a key part of customer interaction. Companies now rely on AI-powered chatbots to improve response times, automate tasks, and provide 24/7 support. Businesses looking to integrate AI chatbots often seek specialized companies to develop customized solutions. Understanding how an AI chatbot development company operates can help organizations make informed decisions about implementing this technology.

What is AI?  

AI refers to the simulation of human intelligence in machines. It enables systems to learn from data, recognize patterns, and make decisions with minimal human input. AI-driven applications include chatbots, virtual assistants, predictive analytics, and more. With advancements in natural language processing (NLP) and machine learning (ML), AI chatbots have become more sophisticated, enabling human-like conversations.

What is an AI Chatbot Development? AI chatbot development involves creating software applications that use artificial intelligence to simulate human-like conversations. These chatbots can be designed for customer support, sales, marketing, and various other tasks. They rely on natural language processing (NLP) and machine learning to understand user input, generate responses, and improve interactions over time.

Businesses use AI chatbots to automate responses, provide 24/7 support, and improve engagement without requiring constant human intervention. Chatbots can be integrated into websites, messaging apps, and voice assistants to enhance communication and streamline operations.

How AI Chatbots Work  

AI chatbots function using a combination of technologies such as NLP, ML, and data analytics. They interpret user input, analyze intent, and generate responses accordingly. The process involves:

Text or Speech Input - Users interact with the chatbot through text or voice.

Processing and Intent Recognition - The chatbot identifies the user’s intent and retrieves relevant data.

Response Generation - Based on predefined scripts or AI-driven learning, the chatbot delivers a response.

Continuous Learning - ML models improve chatbot accuracy over time through user interactions.

Industries Benefiting from AI Chatbots  

Many industries use AI chatbots to improve efficiency and engagement:

E-commerce – Chatbots assist with product recommendations, order tracking, and customer queries.

Healthcare – AI bots handle appointment scheduling, symptom checking, and patient assistance.

Banking – Financial institutions use AI chatbots for account inquiries, fraud detection, and loan assistance.

Education – Chatbots support students with course information and administrative queries.

Hospitality – AI-driven assistants help with booking reservations, providing travel information, and answering customer inquiries.

Key Features of AI Chatbots  

AI chatbots differ from rule-based bots by using intelligent algorithms to generate responses. Features include:

Conversational AI – Chatbots can engage in natural conversations, understanding context and sentiment.

Multilingual Support – AI-powered bots handle multiple languages, expanding business reach.

Integration with Business Systems – Chatbots connect with databases, CRM software, and payment gateways.

Voice Assistance – Some AI chatbots use speech recognition for hands-free interaction.

Data Analytics – Businesses can track chatbot performance and improve interactions through insights.

Why Choose an AI Chatbot Development Company?  

Businesses turn to specialized companies to create chatbots tailored to their needs. These companies offer:

Custom chatbot solutions designed for specific business goals

Expertise in AI training models for personalized responses

Scalable chatbot infrastructure to handle growing user demands

Ongoing support and updates for performance improvements

Challenges in AI Chatbot Development  

While AI chatbots provide many advantages, there are challenges to address:

Training Data Quality – AI chatbots require diverse datasets for better accuracy.

Context Awareness – Some chatbots struggle with understanding conversation context.

Security Concerns – Ensuring data privacy and user security remains a top priority.

User Acceptance – Customers may be hesitant to engage with AI instead of human representatives.

The Role of Malgo in AI Chatbot Development  

Malgo is a leading AI development company that provides high-quality chatbot solutions. With expertise in generative AI, Malgo designs intelligent chatbots that cater to different industries. Businesses looking to integrate AI chatbots benefit from Malgo’s advanced NLP models, seamless integration capabilities, and commitment to data security. Whether automating customer service or streamlining business operations, Malgo delivers AI-powered chatbot solutions tailored to modern business needs.

[mikestek]

Android vs iOS - Which OS is right for you?

Over the years, the debate between Android and iOS has intensified, making it vital for you to understand the unique features each operating system offers. Android provides a wide range of devices with customizable options, while iOS boasts a seamless user experience and consistent updates. Your choice can impact everything from app availability to device performance. Whether you prioritize…

[kratomqueen]

we need a complete and total shutdown of people under 18 being allowed on social media until we figure out what the hell is going on

[grey-chain]

Empowering the Workforce: The Role of GenAI in Augmenting Human Capabilities

GenAI is a valuable resource and can be an excellent ally for businesses to augment human capabilities and ensure enhanced productivity, innovation, and holistic business growth. According to a structural review paper published in ResearchGate,

When integrated into a team member, artificial intelligence can significantly enhance team dynamics. AI can improve coordination, knowledge sharing, and decision-making processes by augmenting human capabilities. However, potential challenges such as AI-human interaction, privacy, and ethical implications must be carefully considered. Addressing these concerns is crucial to fully harnessing the benefits of AI in collaborative environments.

Want to delve deeper and know how Generative AI can be an excellent resource for businesses in 2025?

Let’s explore.

Generative AI Business Solutions: Augmenting Human Capabilities for Collaborative Business Environments

Generative AI business solutions can empower the workforce and business in several ways:

Automating Manual and Repetitive Tasks

McKinsey & Company stated in its report that GenAI business applications have doubled since 2017. Enterprise automation, process automation, and several other types of Generative business solutions have enhanced the efficiency of the workforce and reduced human error with a significant scope for strategic thinking.

Businesses should implement GenAI-powered business solutions to streamline workflows, improve efficiency, free up employees’ time for creative and strategic tasks, and increase productivity across departments and factories.

Enhancing Creativity

Employees can leverage the power of Generative AI to prompt new ideas and perspectives, igniting innovation and creativity. Businesses can use GenAI for diverse content genres, such as social media content, taglines for brands and web pages, marketing copy, and product descriptions, saving time and effort significantly.

Facilitating Innovation

AWS Generative AI and other advanced AI-powered business solutions analyse data, identify patterns and trends and provide crucial insights for core business decisions. It accelerates research and encourages the development of new products and services.

Personalising the Employee Experience

Generative AI enables tailored employee training, upskilling, and enhanced employee experience, reflecting improved productivity and engagement. Alexa, Siri, and Copilot are excellent virtual assistants for real-time support.

Ethical Considerations for Businesses

Bias and fairness

Job displacement and challenge for businesses to upskill and reskill existing workforce

Data privacy and security

Conclusion

GenAI presents a transformative opportunity to augment human capabilities and revolutionize the workplace. Generative AI can significantly boost productivity and efficiency across various sectors by automating mundane tasks, fostering creativity, and accelerating innovation. However, to fully realise its potential, addressing ethical concerns such as bias, privacy, and job displacement is imperative. By carefully navigating these challenges, we can harness the power of GenAI to create a future where technology and human ingenuity work in harmony.

[codeexpertinsights]

Hire Generative AI Developers | Top 3 Gen AI Developers | 2025

Generative AI is slowly but steadily finding its ground in many industries here, through business processes, new types of content, and operations like never before. From the chatbots and autonomously-produced media and advertising to contemporarily-developed machine-learned data models, Generative AI is now overturning the processes by which companies reinvent the way, they meet the technology. Now, each company uses staff recruitment to look for talent with great potential to be hired into Generative AI so that they can create within the enterprise.

[nitor-infotech]

AI in DevSecOps: Revolutionizing Security Testing and Code Analysis

DevSecOps, short for Development, Security, and Operations, is an approach that integrates security practices within the DevOps workflow. You can think of it as an extra step necessary for integrating security. Before, software development focused on speed and efficiency, often delaying security to the final stages.  

However, the rise in cyber threats has made it essential to integrate security into every phase of the software lifecycle. This evolution gave rise to DevSecOps, ensuring that security is not an afterthought but a shared responsibility across teams. 

From DevOps to DevSecOps: The Main Goal 

The shift from DevOps to DevSecOps emphasizes applying security into continuous integration and delivery (CI/CD) pipelines. The main goal of DevSecOps is to build secure applications by automating security checks. This approach helps in fostering a culture where developers, operations teams, and security experts collaborate seamlessly.  

How is AI Reshaping the Security Testing & Code Analysis Industry? 

Artificial intelligence and generative AI are transforming the landscape of security testing and code analysis by enhancing precision, speed, and scalability. Before AI took over, manual code reviews and testing were time-consuming and prone to errors. AI-driven solutions, however, automate these processes, enabling real-time vulnerability detection and smarter decision-making. 

Let’s look at how AI does that in detail:  

AI models analyze code repositories to identify known and unknown vulnerabilities with higher accuracy. 

Machine learning algorithms predict potential attack vectors and their impact on applications. 

AI tools simulate attacks to assess application resilience, saving time and effort compared to manual testing. 

AI ensures code adheres to security and performance standards by analyzing patterns and dependencies. 

As you can imagine, there have been several benefits of this:  

Reducing False Positives: AI algorithms improve accuracy in identifying real threats. 

Accelerating Scans: Traditional methods could take hours, but AI-powered tools perform security scans in minutes. 

Self-Learning Capabilities: AI systems evolve based on new data, adapting to emerging threats. 

Now that we know about the benefits AI has, let’s look at some challenges AI could pose in security testing & code analysis: 

AI systems require large datasets for training, which can expose sensitive information if not properly secured. This could cause disastrous data leaks.  

AI models trained on incomplete or biased data may lead to blind spots and errors. 

While AI automates many processes, over-reliance can result in missed threats that require human intuition to detect. 

Cybercriminals are leveraging AI to create advanced malware that can bypass traditional security measures, posing a new level of risk. 

Now that we know the current scenario, let’s look at how AI in DevSecOps will look like in the future:  

The Future of AI in DevSecOps 

AI’s role in DevSecOps will expand with emerging trends as:  

Advanced algorithms will proactively search for threats across networks, to prevent attacks. 

Future systems will use AI to detect vulnerabilities and automatically patch them without human intervention. 

AI will monitor user and system behavior to identify anomalies, enhancing the detection of unusual activities. 

Integrated AI platforms will facilitate seamless communication between development, operations, and security teams for faster decision-making. 

AI is revolutionizing DevSecOps by making security testing and code analysis smarter, faster, and more effective. While challenges like data leaks and algorithm bias exist, its potential is much more than the risks it poses.  

To learn how our AI-driven solutions can elevate your DevSecOps practices, contact us at Nitor Infotech. 

[bobbyyoungsworld]

Top Artificial Intelligence Companies in India: Revolutionizing the Future

Artificial Intelligence (AI) is a driving force in today’s technology landscape, reshaping industries across India. The country has emerged as a hub for AI innovation, with several companies leading the charge in AI development services. In this blog, we’ll explore some of the top AI development companies in India, including ShamlaTech Solutions, a leader in AI agents, chatbots, and generative AI services.

1. Tata Consultancy Services (TCS)

TCS is a pioneer in AI-driven solutions, offering services like cognitive automation, machine learning, and AI integration for enterprises. Their AI platforms are widely used across industries such as healthcare, finance, and retail.

2. Infosys

Infosys leverages AI to drive digital transformation. Their AI platform, Nia, provides automation, analytics, and AI-driven insights, making them a leading AI development company in India.

3. Wipro

Wipro’s AI solutions include HOLMES, an AI and automation platform that enhances business processes, customer experiences, and decision-making capabilities.

4. HCL Technologies

HCL Technologies specializes in AI-powered digital transformation, offering advanced AI tools and services for industries such as manufacturing, healthcare, and banking.

5. ShamlaTech Solutions: Leading AI Development Company in India

ShamlaTech Solutions has established itself as a top-tier AI development company in India, offering comprehensive AI development services tailored to businesses of all sizes. With a strong focus on innovation and customer-centric solutions, ShamlaTech is transforming industries with its cutting-edge AI capabilities.

Key Services:

AI Agents Development: Custom AI agents designed for customer support, virtual assistance, and business automation.

Chatbot Solutions: Intelligent chatbots powered by natural language processing (NLP) for seamless interaction.

Generative AI Services: Innovative solutions that leverage AI to create content, optimize processes, and drive business growth.

Why ShamlaTech Stands Out:

Expert Team: A skilled team of AI developers proficient in the latest technologies.

Tailored Solutions: Customized AI services that meet specific business needs.

Industry Leadership: A proven track record of delivering innovative AI solutions across sectors.

With a commitment to excellence, ShamlaTech Solutions has earned its reputation as a trusted AI development company in India.

6. Tech Mahindra

Tech Mahindra uses AI to drive digital transformation. Their AI solutions include advanced analytics, machine learning, and AI-powered customer engagement tools.

7. Accenture India

Accenture India combines AI with business strategy to offer cutting-edge solutions. Their services include AI-driven automation, predictive analytics, and machine learning applications.

8. Persistent Systems

Persistent Systems specializes in AI-powered digital engineering. Their AI services include cognitive computing, data analytics, and AI integration for enterprise solutions.

9. Mindtree

Mindtree focuses on AI-driven customer experiences and business process optimization. Their AI services include chatbot development, predictive analytics, and AI-powered marketing solutions.

10. Zensar Technologies

Zensar Technologies offers AI solutions that enhance business processes, improve decision-making, and drive innovation. Their AI services span industries like retail, banking, and healthcare.

Why India is a Global AI Hub

India’s AI ecosystem is fueled by a combination of talent, innovation, and government initiatives like Digital India and Make in India. The country’s AI companies are not only catering to local markets but also making a significant impact globally. Companies like ShamlaTech Solutions exemplify India’s leadership in AI innovation, offering world-class AI development services.

Choosing the Right AI Development Company

Partnering with a top AI development company ensures access to state-of-the-art technology and tailored solutions. Companies like ShamlaTech Solutions provide end-to-end AI services, from developing intelligent chatbots to implementing generative AI solutions.

If you’re looking for a trusted partner to unlock the potential of AI for your business, ShamlaTech Solutions is the name to trust.

Ready to transform your business with AI? Contact ShamlaTech Solutions today and discover the power of AI innovation.

[kimio7]

re: cramming for an exam. I do this all the time bc I don't do the readings

depends on the subject and what materials you have I think. I create a study guide where I go through each lecture and pull out main ideas. you don't need to fully understand each lecture, but being able to summarize the topic and explain key points/terms. you can also just nab concepts from the lectures or readings and Google them to find easier/quicker explanations.

and also with ai - i also don't really understand how it works and I don't condone using it to create work to submit. but I spent most of my time at uni not being able to keep up with the readings and it prevented me from going to classes and getting participation marks. I started using chatgpt to get the main ideas and summary from articles and it's helped me keep up with my classes. I would never quote anything from ai and always double check the source for yourself bc ai will just make shit up.

Hi anon!!! Ive never made a study guide before and im kind of afraid to try attempting it so close to exam time 😀 but if im right about what ur talking about i might just be doing it unintentionally already

Thanks for the advice 🫶