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ML and AI

ML and AI discussions
31 posts | Last Activity on 01-02-2025 03:00 by karthik
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karthik 01-02-2025 03:00, 6 days ago
Re: deepseek ai image video generator api
DeepSeek has recently introduced Janus Pro, an advanced AI image generator that reportedly outperforms models like OpenAI's DALL-E 3. This model is available as a free, open-source tool, making it accessible to a wide range of users. qz.com For developers interested in integrating DeepSeek's image and video generation capabilities into their applications, DeepSeek offers API access. Comprehensive documentation, including guides on making your first API call, is available on their official API documentation site. Additionally, for text-to-video generation, tools like SendShort integrate with DeepSeek to facilitate the creation of engaging videos from text prompts. This can be particularly useful for generating content for platforms like YouTube, TikTok, and Instagram. sendshort.ai By leveraging DeepSeek's APIs and associated tools, developers can enhance their applications with state-of-the-art AI-driven image and video generation features.
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karthik 31-01-2025 12:51, 6 days ago
Re: Best free open-source AI video generator
[b]best free ai text to video generator without watermark[/b] Creating AI-generated videos from text without watermarks is achievable using several free tools. Here are some notable options: Wondershare Virbo: This platform allows users to convert text, images, audio, or links into videos without any watermarks. It's suitable for creating various types of content, including avatars, animations, product demos, and marketing materials. VIRBO.WONDERSHARE.COM Fotor's AI Video Generator: Fotor enables instant conversion of text prompts or images into studio-quality videos without watermarks. Users can input text or upload images, select a style, and generate polished videos ready for sharing on platforms like YouTube Shorts, Instagram Reels, and TikTok. FOTOR.COM Vadoo AI: Vadoo AI offers a free AI video generator that converts text into engaging videos without watermarks. It's designed to help users create professional-looking content effortlessly. VADOO.TV Kapwing's AI Video Generator: Kapwing provides a free online tool that converts text to video. While the free version includes watermarks, subscribing to their service allows for watermark-free creations. KAPWING.COM Pollo AI: Pollo AI is a leading AI video maker without watermarks, offering both text-to-video and image-to-video capabilities. It's suitable for creating various types of content with a professional finish.
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Kevin 29-01-2025 11:59, 8 days ago
Re: deepseek generate ai video sample
DeepSeek-VL (DeepSeek's video generation model) is not publicly available for direct use like OpenAI's models, but you can generate AI videos using open-source alternatives like Stable Video Diffusion (SVD) or Pika Labs API.
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karthik 29-01-2025 11:59, 8 days ago
Re: deepseek generate ai video sample
any body know how ? deepseek generate ai video sample program
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Kevin 26-01-2025 03:44, 12 days ago
Re: Email Automation with AI-Powered Summarization
Email Summarization and Response Automation: Useful for managing high email volumes.
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Kevin 26-01-2025 03:43, 12 days ago
Re: AI Chatbot for Task Automation
Chatbots: Use conversational AI for customer support or personal assistants.
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Kevin 26-01-2025 03:43, 12 days ago
Re: Image Recognition Automation
Image Recognition: Automate product cataloging or quality control in images.
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Kevin 26-01-2025 03:41, 12 days ago
Re: Automating Customer Support Tickets with Sentiment Analysis
Sentiment Analysis: Classify support tickets or social media feedback to prioritize responses.
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Kevin 26-01-2025 03:41, 12 days ago
Re: Automating Customer Support Tickets with Sentiment Analysis
Classify support tickets by urgency using sentiment analysis. [code]from transformers import pipeline # Load sentiment analysis model sentiment_analyzer = pipeline("sentiment-analysis") # Sample support tickets tickets = [ "I'm furious! My product arrived broken!", "I'm so happy with the service, thank you!", "The website is not working, and I can't log in." ] # Analyze sentiment and classify urgency for ticket in tickets: sentiment = sentiment_analyzer(ticket)[0] urgency = "High" if sentiment["label"] == "NEGATIVE" else "Low" print(f"Ticket: {ticket}\nSentiment: {sentiment['label']}, Urgency: {urgency}\n") [/code]
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Kevin 26-01-2025 03:38, 12 days ago
Re: Image Recognition Automation
Use AI to detect objects in an image and automate classification. [code]from PIL import Image from transformers import pipeline # Load an object detection model detector = pipeline("object-detection") # Load an image image_path = "image.jpg" image = Image.open(image_path) # Detect objects results = detector(image) # Print detected objects for obj in results: print(f"Object: {obj['label']}, Confidence: {obj['score']:.2f}") [/code]
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Kevin 26-01-2025 03:36, 12 days ago
Re: AI Chatbot for Task Automation
A chatbot that automates simple tasks like setting reminders or fetching information. [code]from transformers import pipeline # Load a conversational AI model chatbot = pipeline("conversational") # Chatbot loop print("AI Assistant: Hello! How can I assist you?") while True: user_input = input("You: ") if user_input.lower() in ["exit", "quit"]: print("AI Assistant: Goodbye!") break response = chatbot(user_input) print(f"AI Assistant: {response[0]['generated_text']}") [/code]
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Kevin 26-01-2025 03:32, 12 days ago
Re: Email Automation with AI-Powered Summarization
Use AI to summarize a long email and automate sending responses. [code] import smtplib from email.mime.text import MIMEText from transformers import pipeline # Load a text summarization model summarizer = pipeline("summarization") # Sample email content email_body = """ Hi Team, I wanted to update you on the project status. We have completed phase one, but there are delays due to resource allocation in phase two. We need approval for additional budget and a timeline extension of two weeks. Best regards, Project Manager """ # Summarize the email summary = summarizer(email_body, max_length=50, min_length=25, do_sample=False) summary_text = summary[0]['summary_text'] # Automate response response = f"Thanks for the update. Approved for additional budget and extension. Summary: {summary_text}" # Send email def send_email(to_email, subject, body): from_email = "your_email@example.com" smtp_server = "smtp.example.com" password = "your_password" msg = MIMEText(body) msg["Subject"] = subject msg["From"] = from_email msg["To"] = to_email with smtplib.SMTP_SSL(smtp_server, 465) as server: server.login(from_email, password) server.sendmail(from_email, to_email, msg.as_string()) send_email("recipient@example.com", "Project Update Response", response) print("Email sent!") [/code]
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Kevin 24-01-2025 23:59, 13 days ago
Re: how to start a AI image creator app or website
### **7. Launch the App** - **MVP (Minimum Viable Product)**: - Launch with essential features. - Get feedback from early users. - **Hosting**: - Use cloud platforms like **AWS**, **Google Cloud**, or **Heroku**. - **App Store/Website**: - If mobile, publish on **Google Play Store** or **Apple App Store**. - If web-based, deploy on a domain with good hosting. ### **8. Monetization Options** - **Subscription Plans**: Charge for premium features like higher resolution or faster generation. - **Pay-per-Use**: Charge credits for each image generated. - **Freemium Model**: Offer basic features for free, with an upgrade for more. ### **9. Marketing & User Acquisition** - Social media ads (Instagram, TikTok, Facebook). - Collaborate with influencers in the art and design space. - SEO for your website to attract organic traffic. ### **10. Scale & Improve** - Collect user feedback and iterate on the app. - Add new features like text editing, multi-style generations, or video capabilities. - Explore collaborations with other tools or industries (e.g., fashion, gaming).
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Kevin 24-01-2025 23:59, 13 days ago
Re: how to start a AI image creator app or website
### **4. Acquire Necessary Tools** - **Computational Power**: - Use cloud GPUs (e.g., **Google Colab**, **AWS**, **Azure**, or **Paperspace**). - **APIs & Libraries**: - For text-to-image: Stable Diffusion, OpenAI API. - Image editing: **Pillow**, **OpenCV**. ### **5. Develop the App** - **Build the Core Features**: - Input box for prompts. - Options for customization (e.g., styles, colors). - Image generation and download functionality. - **Implement Advanced Features** (Optional): - Generate multiple variations. - Allow users to upload reference images. - Social sharing options. ### **6. Test the App** - Test on different devices and browsers for responsiveness. - Test the image quality and generation speed.
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Kevin 24-01-2025 23:58, 13 days ago
Re: how to start a AI image creator app or website
Starting an AI image creator app is an exciting project! Here's a step-by-step guide to help you get started: ### **1. Define Your App's Purpose** - **Target Audience**: Who will use the app? Artists, marketers, social media users, or businesses? - **Use Cases**: Will the app generate art, product mockups, avatars, or other specific content? - **Features**: Examples include text-to-image generation, image editing, style transfer, or creating AI avatars. ### **2. Choose the Right AI Model** - Use pre-trained models or APIs for image generation. - **Options**: - **Stable Diffusion** (open-source, customizable). - **DALLĀ·E** (by OpenAI, easy to integrate via API). - **Runway ML** (no-code and low-code tools). - **DeepAI** or similar APIs. ### **3. Plan the App Architecture** - **Frontend**: User interface for inputting prompts and viewing generated images. - Use frameworks like **React**, **Vue.js**, or **Flutter** for cross-platform development. - **Backend**: Handle image generation, prompt processing, and API calls. - Use **Python (Flask/Django)** or **Node.js**. - **Database**: Store user data, preferences, and generated images. - Options: **PostgreSQL**, **MongoDB**, or **Firebase**. - **Cloud Storage**: Store images (e.g., AWS S3, Google Cloud Storage).
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caa 15-11-2024 12:30, 3 months ago
Re: Best free open-source AI video generator
### 7. **Canva** - **Best for:** Beginners and marketing videos. - **Features:** - Drag-and-drop video editor with templates. - AI-powered tools for text, design, and effects. - **Free Plan Includes:** Access to many templates and export options (no watermark). - **Website:** [canva.com](https://www.canva.com) If you're looking for the **best free option overall**, **Canva** or **Steve.AI** are beginner-friendly and versatile. For professional-looking videos, **Synthesia** or **Lumen5** may suit you better.
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caa 15-11-2024 12:30, 3 months ago
Re: Best free open-source AI video generator
### 3. **Synthesia** - **Best for:** AI avatars and voiceovers for business or marketing videos. - **Features:** - Create realistic AI avatars to narrate your script. - Multilingual support for voiceovers. - **Free Plan Includes:** Free trial for one video with watermark. - **Website:** [synthesia.io](https://www.synthesia.io) ### 4. **Lumen5** - **Best for:** Social media videos and content marketing. - **Features:** - Converts text into video automatically. - Drag-and-drop interface. - Large stock footage library. - **Free Plan Includes:** Limited templates and 720p exports with watermarks. - **Website:** [lumen5.com](https://www.lumen5.com) ### 5. **Runway** - **Best for:** Creative and experimental videos. - **Features:** - AI-based video editing and text-to-video generation. - Green screen removal, video inpainting, and more. - **Free Plan Includes:** Limited project exports and some tools. - **Website:** [runwayml.com](https://runwayml.com) ### 6. **Designs.ai** - **Best for:** Quick branding and video creation. - **Features:** - AI-generated scripts and visuals. - Integrates branding elements automatically. - **Free Plan Includes:** Basic video creation tools and watermarked exports. - **Website:** [designs.ai](https://designs.ai)
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caa 15-11-2024 12:29, 3 months ago
Re: Best free open-source AI video generator
best free AI video generators available for creating high-quality content. These tools often have free plans or trials, with some limitations: ### 1. **Steve.AI** - **Best for:** Explainer videos, animation, and storytelling. - **Features:** - AI generates videos from scripts or text. - Wide range of pre-designed templates. - Customizable characters and animations. - **Free Plan Includes:** Limited access to templates and exports with watermarks. - **Website:** [steve.ai](https://www.steve.ai) ### 2. **Pictory** - **Best for:** Turning long-form content into short videos (e.g., blog posts or articles). - **Features:** - AI extracts key points and creates video summaries. - Voiceovers and text-to-speech integration. - Stock footage and royalty-free media library. - **Free Plan Includes:** Limited videos with watermarks. - **Website:** [pictory.ai](https://pictory.ai)
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caa 08-08-2024 03:17, 7 months ago
Re: AI-Driven Development Platforms
Trends and Tools: Low-Code/No-Code Platforms: Tools like OutSystems, Mendix, and Appian enable users to build applications with minimal coding, automating repetitive coding tasks. AI-Enhanced IDEs: Integrated Development Environments (IDEs) like IntelliJ IDEA and Visual Studio Code use AI to automate code refactoring, testing, and optimization. Automated Testing Tools: Platforms like Selenium, TestComplete, and Cypress automate software testing, improving efficiency and reducing manual testing efforts. Applications: Business Applications: Rapid development of enterprise apps without extensive coding. Prototype Development: Quick iteration and testing of application prototypes. Automated Code Review: AI tools analyzing code quality and suggesting improvements.
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caa 08-08-2024 03:15, 7 months ago
Re: Artificial Intelligence (AI) and Machine Learning (ML)
[b]Trends and Tools:[/b] AI-Powered Analytics: Platforms like Google Cloud AI, IBM Watson, and Microsoft Azure AI provide advanced analytics capabilities, automating data insights and decision-making processes. AutoML Platforms: Tools like Google AutoML and DataRobot automate the creation of machine learning models, enabling users to build models without deep ML expertise. Natural Language Processing (NLP): Solutions like OpenAI GPT and Google BERT automate language understanding, enabling applications in customer service, content generation, and sentiment analysis. [b]Applications:[/b] Predictive Maintenance: AI algorithms predict equipment failures, automating maintenance schedules and reducing downtime. Personalized Marketing: Automated analysis of customer behavior to deliver targeted marketing campaigns. Fraud Detection: AI systems automate the detection of fraudulent activities in financial transactions.
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