Restoring Image Quality With AI using Real-ESRGAN and SwinIR
This article wa
Fine-Tuning Phi-3 with Hugging Face
A Highly Capable Language Model Fine-tuning Phi-3, a compact yet powerful AI model, has emerged as a powerful technique. Fine-tuning allows Phi-3 to specialize for specific tasks and domains. The Phi-3 series targets efficient AI on mobile and low-power devices.
Fine-Tuning LLaMA 3 at 2x Speed with Unsloth and ALPACA
Streamlining the Training and Inference of LLaMA 3 This is a comprehensive guide on fine-tuning Llama 3. Whether you’re aiming to improve the accuracy of the recently announced model by Meta or dapt it for specific tasks, the process of
Fine-tuning BLIP2 for Image Caption Generation with PEFT
Customizing BLIP2 with LoRA and HuggingFace on the Flickr30k Dataset Fine-tuning BLIP2, a state-of-the-art open-source visual language model, can be a game-changer for various business applications. BLIP2 stands out as one of the most powerful models in its class. It
Fine-Tuning StarCoder to Customize a Coding Assistant
A Comprehensive Guide Fine-tune a Code LLM on Private Code using a Single GPU to Enhance its Contextual Awareness Recently, powerful language models like Codex, StarCoder, and Code Llama that can understand and generate code have been created. These models
Fine-Tuning LayoutLMv2 for Document Question Answering
A Step-by-Step Guide to Optimizing LayoutLMv2 for Enhanced Domain-Specific Document Question Answering Efficiency Document question answering (DQA) plays a key role in various tasks, allowing us to efficiently retrieve information from documents. However, traditional DQA models, including those not leveraging
Automating Scientific Knowledge Retrieval with AI in Python
End-to-End Guide for Developing a Research Chatbot with OpenAI functions Capable of Semantic Search Across Arxiv The vast amount of scientific publications today challenges effective knowledge retrieval. Researchers, academics, and professionals need innovative methods to stay updated. AI and semantic search technologies
Using PhotoMaker for Stylized Image Customization
Generating High-Quality Stylized Images In this article, we explore the process of stylized image customization using PhotoMaker. Previously, we discussed generating realistic photos. Now, we shift our focus to creating high-quality, artistic images using only a few reference images. We
AI Image Analysis with BLIB, YOLOv9, ViT, and CLIP
Image Analysis with AI by Automating Captions, Detection and Similarity Search in Python Recently, image analysis with AI has witnessed significant advancements, particularly driven by the rapid evolution of artificial computational technologies. As a result, these innovations enable a more
Cloning Yourself on WhatsApp with AI in Python
Integrating OpenAI and Twilio for Chatbot Interactions Which Mimic Your Chatting Style and Understands Image Inputs Have you ever wished you could clone yourself to keep up with all the WhatsApp messages from your friends, family, and colleagues? Well, in this
Customizing Realistic Human Photos Using AI with PhotoMaker
From Reference to Custom Photos Customizing realistic human photos is a challenging task in the world of AI. Traditional methods like GANs and diffusion models often need extensive fine-tuning. This process is time-consuming and resource-intensive. However, PhotoMaker offers a novel
3D Reconstructions from a Single Image Using Multi-View Diffusion Models
Reconstructing 3D Assets with an Image 3D Reconstructions from a Single Image can transform how we create digital models. Today, anyone can build detailed three-dimensional objects from one photograph. This technology simplifies tasks in various fields such as virtual reality,
Fine-Tuning Your Own Custom Stable Diffusion Model with just 4Â Images
End-to-End Python Guide For Giving a Stable Diffusion Model Your Own Images for Training and Making Inferences from Text Stable Diffusion models have gained significant attention for their ability to generate high-quality, diverse images from textual descriptions. However, the one-size-fits-all nature
AI Face Restoration in Images with CodeFormer
Restoring, Colorizing and Inpainting AI Face Restoration technology enhances and recovers facial images from various states of degradation. This technology restores clear visuals from once-flawed images. This article discusses how to practically use AI Face Restoration with CodeFormer, a Python
Narrating Videos with OpenAI Vision and Whisperer Automatically
Synchronizing Narration with Video Length, Tone and Frame Content Contextually Rich and Dynamic Storytelling This guide aims to present an end-to-end solution that for automatically narrating videos with AI, leveraging OpenAI’s GPT-4 Vision and Text-to-Speech technology’s cutting-edge capabilities. OpenAI’s GPT-4
Real-Time Emotion Recognition in Python with OpenCV and FER
A Comprehensive Python Guide for the Detection, Capture, and Analytical Interpretation of Live Emotional Data Emotion recognition technology presents an interesting intersection of psychology, AI and computer science. We harness the capabilities of OpenCV for video processing and the Facial
Interactive Data Analytics in Python with Microsoft LIDA
Automatically Going From Raw Data to Insight, Empowering Data-Driven Decisions Much Quicker This article explores LIDA, Microsoft’s innovative tool for interactive data visualization. Uniquely, LIDA harnesses large language models, transforming complex datasets into insightful visual representations. LIDA excels with datasets that
Intelligent Web Browsing & Reporting with LangChain and OpenAI
A Technical End-to-End Python Guide to Automatic Web Browsing and Results Reporting Imagine the convenience of automatically gathering and summarizing online information on diverse topics such as the latest advancements in renewable energy, analyzing current market trends in the tech
AI Singing Voice Cloning with AI in Python
End-to-End Python Guide for Data Processing, Training and Inference of AI Cloned voices. From Voice Data to using Pre-trained and Custom Models Imagine a world where your voice could harmonize with any tune, adopt any accent, or even replicate the
Uniting LLMs with Knowledge Graphs for Fact-Based Chatbots
An In-Depth End-to-End Tutorial for Structuring Raw Data into Knowledge-Driven AI Chatbots In this article, we skillfully combine the structured, relationship-focused architecture of knowledge graphs with the sophisticated language understanding abilities of LLMs. Knowledge graphs contribute a layer of structured