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Building chat bots from ai
Hello,
Can anyone tell me about some ai websites from where i can make custom ai chatbots and then sell themsubmitted by /u/Basic_Chip_440
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I’ve built an AI UI and I don’t know what to do with it. Does anyone need something like this?
Hey, I’ve built a tool that allows people to build their custom chatbots/ GPTs using any of the main AI providers (Perplexity, OpenAI, Grok etc.).
Basically you write instructions and host that AI UI on your website allowing your web users interact with it.
I initially built it thinking of businesses who might use it as their main product (eg advisor on a specific issue) or as customer support. But I built it and never really marketed it, and am still unsure of what people would use it for specifically.
I still think it is super useful though. Is there anyone here looking for something like this?
I use it often for personal reasons – mainly bdays, as I would build a custom GPT that entertains, quizzes, congratulates, sends bday cards and what nots to my friends who’s bday it is that day — as a digital gift. But I think there’s more commercial potential here.
It is completely free and you can use it as much as you want and even host your GPTs on my domain.
I would really appreciate any feedback here as it is simply collecting dust, haha.
Find it here: superinterface.ai (mods, let me know if this breaks any rules and I will edit the url out)
submitted by /u/vaaaida
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Meet Ronnie – The AI Cartoonist
ChatGPT w/ Dall-E is ruling the roost when it comes to the image generation utils designed like a chatbot which does not evolve downloading an alternate app. (aka: Discord)
The issue is Dall-E / ChatGPT is way too censored for some interesting cases.
We wanted to create something that can help facilitate creative image ideas.
Meet Ronnie – The AI Cartoonist in its infancy, it’s not perfect nor we claim it to be.
https://buildgpt.ai/mx-ai-cartoonist
Looking for feedback as always. (positive or negative)
submitted by /u/hd_786
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From Corned Embroidery to Financial Freedom: My Personal Finance Success Story
Hello fellow Redditors! I am cornedembroidery9 and I wanted to share my journey from stitching patterns to stitching together a successful financial future. It wasn’t always easy, but through hard work, dedication, and smart financial decisions, I was able to turn my passion for embroidery into a thriving business. I can proudly say that I am now debt-free, have a healthy emergency fund, and am on track to retire early. Remember, no matter where you start, with determination and a solid financial plan, anything is possible. Share your personal finance success stories in the comments below!
submitted by /u/cornedembroidery9
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Key Reasons to Integrate Machine Learning in Manufacturing: From Factory Floor to Future
Imagine a factory not just humming with machinery, but pulsing with intelligence. This is the future promised by AI, which is rapidly transforming the landscape of production. At the heart of this change lies machine learning, an artificial intelligence subset that influences process optimization without explicit programming.
Fueled by vast datasets collected from sensors and interconnected machines, ML algorithms are revolutionizing factories’ workflows. The global market size for AI in the industry was $5 billion in 2023 and is expected to reach $68 billion by 2032. Predictive maintenance, for instance, leverages machine learning in manufacturing to analyze equipment data and anticipate failures before they occur, minimizing downtime and maximizing productivity. Additionally, these algorithms can identify patterns in production lines, pinpointing bottlenecks and suggesting adjustments for peak efficiency.
Employees today face a relentless drive for optimization. Consumers demand ever-evolving products at competitive prices, and global competition is fierce. AI offers a powerful weapon in this battle. By streamlining processes, improving quality control, and fostering data-driven decision-making, artificial intelligence empowers people to stay ahead of the curve. The future of Generative AI in manufacturing promises to be one of smart machines working alongside a skilled human workforce, crafting the products of tomorrow.
Today we’ll help you learn more about machine learning in manufacturing examples. If you feel like that’s what you’re looking for — this article is for you!
The Power of Machine Learning in Manufacturing
The role of predictive analytics nowadays is hard to overestimate. Machine learning development is revolutionizing manufacturing, with statistics painting a clear picture of its positive impact. Here’s how ML is transforming the industry:
- Boosting Productivity and Efficiency: Now more than 80% of companies and businesses need employees with machine learning skills. It’s essential for fewer equipment breakdowns, smoother production flow, and ultimately, a significant increase in output.
- Enhancing Product Excellence: Traditional quality control methods often have limitations. Machine learning, on the contrary, shines here. There is a significant reduction in defects with the algorithms analyzing vast amounts of data from sensors and cameras. This leads to fewer faulty products reaching consumers, saving workers money, and strengthening brand reputation.
- Minimizing Maintenance Costs: Unscheduled equipment failures can be crippling. Here, ML comes to the rescue. By analyzing sensor data, the algorithms can predict equipment breakdowns before they occur, allowing for proactive maintenance. This translates to lower repair costs and extended equipment lifespan.
The key to ML’s success lies in its ability to analyze massive datasets. They contain information on everything from sensor readings to creation line performance. The algorithms then identify patterns within this data, allowing them to predict future outcomes and optimize processes. For instance, machine learning can foresee when a specific machine is likely to fail, enabling employees to schedule maintenance before a breakdown disrupts output.
Predictive analytics is no longer a futuristic concept — it’s a powerful tool driving a smarter future for manufacturing. As data collection and algorithms continue to evolve, we can expect even greater advancements in efficiency, quality, and cost savings, solidifying industrial machine learning as a cornerstone.
Demystifying ML Benefits for Business: A Practical Approach
Picture a program that gets sharper with experience, like a seasoned athlete continually honing their skills. That’s the essence of machine learning. It’s a branch of artificial intelligence where algorithms are trained on information to identify patterns and make predictions.
Think of a manufacturer feeding data on past production cycles, equipment sensor readings, and product quality checks. By analyzing these vast datasets, the algorithm learns to recognize patterns.
But ML’s superpowers extend beyond equipment health. Imagine a camera system trained on millions of images of flawless products. The algorithm can then identify even the most minor defects in real time, leading to improved product quality. No more relying on human inspectors prone to fatigue or missing subtle flaws.
The real magic lies in data-driven decision-making. Machine learning analyzes information to pinpoint bottlenecks and inefficiencies. This reveals that a specific vehicle is causing delays. With this insight, workers can optimize production flow, reallocate resources, and plan output more effectively.
This is just the tip of the iceberg of machine learning use cases in manufacturing. From optimizing inventory control to personalizing product recommendations, Generative AI in supply chain management offers a treasure trove of possibilities. By embracing this technology, factories worldwide can unlock a future of smarter operations, improved efficiency, and a sharper competitive edge.
Deep Dive: Machine Learning in Production Applications and Examples
Data mining is no longer science fiction; it’s transforming creation lines worldwide. 91.5% of companies have an ongoing investment in machine learning and artificial intelligence. Let’s explore some real-world applications:
- Predictive Maintenance in Action: Boeing, a leader in aerospace manufacturing, uses ML to analyze sensor data from aircraft engines. This allows the company to predict potential problems before they cause costly in-flight failures, saving millions of dollars and ensuring passenger safety. Technology partners like Master of Code play a crucial role in developing and integrating these solutions.
- Defect Detection Gets Smarter: Siemens, a German industrial giant, utilizes ML-powered vision systems to inspect wind turbine blades for even the slightest imperfections. These systems analyze high-resolution images, ensuring blades meet stringent quality standards before installation, significantly reducing the risk of failure.
- Optimizing Production with Data Insights: Ford, a renowned automaker, uses algorithms to analyze data from its assembly lines. By identifying bottlenecks and inefficiencies, they’ve optimized output flow, leading to an increase in output with their Mustang Mach-E electric vehicle. Here, tech partners specializing in data science and manufacturing process integration become crucial.
These are just a few examples. Applications of machine learning in manufacturing extend to everything from automating robotic welding processes to optimizing energy consumption in factories. The tangible results are clear: increased efficiency, improved product quality, and reduced downtime.
As technology partners with expertise in AI, Master of Code Global can give a hand to manufacturers implementing these solutions. Machine learning in production can provide the necessary infrastructure, data analysis tools, and expertise to navigate the complexities and unlock its full potential.
Beyond ML: Discover Other Areas of AI Integration
Predictive analytics has become a game-changer in the industry, but it’s just one piece of the artificial intelligence puzzle. 57% of companies and businesses use machine learning to improve consumer experience. While ML excels at learning from data to identify patterns and make predictions, AI offers a broader range of capabilities that, when integrated, unlock even greater optimization.
For example, there is a factory floor equipped with not just data-crunching algorithms, but also with “eyes” and “ears” powered by subfields like computer vision and natural language processing.
Deep learning in manufacturing, a powerful subset of ML, takes things a step further. It can analyze vast amounts of complex data, like images and audio, with remarkable accuracy. This opens doors for advanced product inspection. Imagine computer vision systems equipped with deep learning algorithms. These systems analyze HD images of products in real time, detecting even the most subtle defects that might escape the human eye. Such technologies can be applied to complex electronics or intricate medical devices, ensuring the highest quality standards.
Beyond data analysis, AI brings the power of communication with Natural Language Processing (NLP). Now there are systems that can understand and process human language. This opens doors for analyzing customer reviews and social media data to gain insights into market trends and preferences. NLP in manufacturing can then be used to optimize demand forecasting, allowing companies to produce exactly what clients want, when they want it.
These technologies work together seamlessly with machine learning. The data collected by the algorithms can be used to train deep learning systems for better image recognition, while insights gleaned from NLP can further inform production planning and resource allocation.
ML lays the foundation with data analysis, while computer vision provides the “eyes” for advanced inspection, and NLP brings the power of human language understanding. Generative AI for customer service allows you to move beyond mere efficiency gains and towards intelligent, data-driven, and user-centric output.
The Future of Manufacturing: A Symbiosis of Man and Machine
The specter of robots replacing human workers in factories due to advancements in artificial intelligence and machine learning is a common fear. 49% of respondents consider AI and ML projects a high priority. However, the future of manufacturing is not a dystopian takeover by machines, but rather a powerful symbiosis between humans and artificial intelligence. However, robots are not destined to replace us; they are powerful tools designed to augment our capabilities and usher in a new era of collaborative production.
On a factory floor humming, human workers are equipped with AI-powered wearables that provide real-time data analysis and troubleshooting assistance. The algorithms churn through vast datasets, identifying areas for improvement and predicting potential issues. This newfound partnership allows people to focus on their unique strengths:
- Strategic Decision-Making: Analyzing market trends, identifying customer needs, and making predictions will remain firmly anchored in human hands. While artificial intelligence can offer valuable insights to inform these decisions, the final call rests with human judgment and vision.
- Oversight and Control: Complex manufacturing processes still require employees’ viewpoints to maintain quality, ensure safety, and adhere to regulations. AI can act as a vigilant assistant, monitoring systems and flagging potential problems, but critical course correction will remain a human responsibility.
- Creative Problem-Solving: Humans excel at thinking outside the box and coming up with innovative solutions to complex cases. By taking care of mundane tasks, technology allows people to dedicate their creative energy to driving innovation and developing new products and processes.
Building Communication Bridges: As machine learning consulting becomes more sophisticated, the need for effective cooperation between humans and machines will become paramount. High-skilled specialists will play a crucial role in developing intuitive interfaces and communication protocols that ensure seamless collaboration.
This future is already unfolding. Workers are actively embracing this symbiosis, seeing positive results. For example, Generative AI in procurement will drive a new era of smarter, more efficient, and human-centric production. The factory floor will be a collaborative dance, not a solo performance, where humans and machines work in harmony to create a future of unprecedented innovation and efficiency.
Wrapping Up
In conclusion, machine learning isn’t just a buzzword; it’s a transformative force poised to revolutionize the manufacturing landscape. From streamlining creation lines to predicting equipment failures, ML offers a powerful toolkit for boosting efficiency, quality, and profitability.
This is just the beginning. As technology continues to evolve, the possibilities for intelligent production become even more exciting. We are ready to face the future where AI and human ingenuity work hand-in-hand, driving innovation and shaping the products of tomorrow.
Key Reasons to Integrate Machine Learning in Manufacturing: From Factory Floor to Future was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.
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Manychat Vs Botpress Vs VoiceFlow Vs ChatFuel
I’ve been diving deep into chatbot platforms lately and wanted to share my thoughts on four major players in the space: ManyChat, Chatfuel, BotPress, and VoiceFlow. Each has its strengths, but I’m curious to see what you all think!
ManyChat: ManyChat is pretty popular for its intuitive interface and robust set of features. You’ve got a visual flow builder, support for images, audio, a gallery carousel, and a persistent menu. ManyChat really shines with its capabilities for sequence messages and social comment auto-replies. It’s a solid choice if you’re focusing on Facebook, Instagram, and WhatsApp channels but keep in mind, it costs around $125 pfor 20,000 active contacts.
Chatfuel: Chatfuel is another strong contender. It’s easy to set up, offers a visual flow builder, handles message delays, supports media, and can validate emails. It’s also great for broadcasting and sequencing messages. They offer a competitive $99 plan but lack some advanced AI integrations and location sharing features.
BotPress: BotPress is perhaps the most developer-friendly platform. It supports a visual flow builder, sending images and audio, and integrating webhooks, but it doesn’t support message delays or persistent menus. It’s also on the pricier side, going over $100 for 20,000 active contacts, and while it’s feature-rich, it might not be the best fit for more straightforward requirements.
VoiceFlow: VoiceFlow is robust for designing conversational experiences and excels with advanced audio features. It doesn’t have some of the more advanced functionalities like broadcast messages or native integration with Meta apps. Pricing is moderate at $50, but it might miss the mark for businesses needing more integration options.
I’ve also stumbled upon Chitchatbot.ai, which has some compelling features that these platforms might lack or offer at a higher price:
Advanced AI Integrations: They offer extensive AI connection options, including OpenAI and Google Gemini. Support for Meta Channels and SMS: This is quite handy for multichannel marketing. Payment Collection: Directly through the bot via Stripe or PayPal. Broadcast & Sequence Messaging: Highly functional in reaching out to users at the right time. Competitive Pricing: At just $14 per month (50% cheaper than ManyChat as you scale), it seems like an unbeatable offer considering the feature set. Custom Webhooks & Google Sheets Integration: Great for syncing with various tools and services seamlessly. While I’m leaning towards Chitchatbot.ai, I’d love to hear your experiences! What has worked best for you, and are there any features that have been deal-breakers or game-changers?
submitted by /u/Ok-Victory-2791
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Free nsfw AI chatbot with a memory box.
hello everyone, I am looking for a free and NSFW AI chat bot, I would like there to be a memory box or something similar like for example AI dungeon where you can note the Plot Essentials, or Kindroid AI where you can note memories (kindroid is probably the best NSFW AI that I have tested but after the three free days, we have too few messages 15 max and it regenerates 1 by 1 after 15~20 min if I remember correctly.)
submitted by /u/l0000008l
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Cecily | a mock RPG battle bot with real-time image generation.
Hello everyone, so I made another bot on myshell, this one including an RPG system and real-time image generation with Animagine xl 3.1. The website and bot itself is free, but it uses an energy system. The aim of the bot is to defeat the Cecily, but you may have to defeat her using an unusual tactic.
The bot is aimed to be SFW and shouldn’t generate SFW images, for that there are other bots on myshell.
Here is the bot:
https://app.myshell.ai/bot/j6VJji/1706721121
https://app.myshell.ai/bot/j6VJji/1706721121
submitted by /u/KirbishOnkulis34
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![[link]](https://i.redd.it/npfcu1wtzy9d1.jpeg){kind=link}
