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Generally Irritable Verified

75 Followers

Ericka Redic is the owner of the controversial Generally Irritable with Ericka Redic. This is a political channel bringing you up to date information from Burlington, VT and also the world. Light hearted and serious at the same time, Ericka is a local political figure trying to add a little humor and reason to the unreasonable political landscape. If you want to support us and all our efforts to bring you fun and conservative content, you can do that here! https://www.patreon.com/GenerallyIrritable

SECourses - Generative AI

18 Followers

Hello everyone. I am Dr. Furkan Gözükara. I have PhD in Computer Engineering. I have been specializing in Generative AI since 2022. In this space, I will share all my knowledge regarding the Generative AI and Tech. Make sure to follow our space and open notifications. In this space I will share the very best tutorials for: FLUX, Stable Diffusion, Stable Diffusion XL (SDXL), Stable Diffusion 3, PixArt, Stable Cascade, Large Language Models (LLMs), Text to Speech, Speech to Text, ChatGPT, GPT-4, Image to Video Animation, Video to Video Animation, Deep Fakes, SwarmUI, ComfyUI, Fooocus, SUPIR, V-Express, InstantId, ControlNet, IP Adapters, RunPod, Massed Compute, Cloud, Kaggle, Google Colab, Automatic1111 SD Web UI, TensorRT, DreamBooth, LoRA, Training, Fine Tuning, Kohya, OneTrainer, Text to 3D, Image to 3D, Upscale, Inpainting, Outpainting, Superscale, AI-assisted Digital Art Generation, Super-Resolution, Image Enhancement, Image Restoration, Video Restoration, Synthetic Voice, Voice Training, Speech Synthesis, Zero-shot Generation, Virtual Characters, Image Generation, Text Generation, Music Generation, Video Generation, Deepfakes and Face Swapping, Style Transfer, 3D Model Generation, Text-to-Speech (TTS), Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), Text Summarization, Machine Translation, Synthetic Data Generation, DALL-E, Midjourney, Whisper, Image Captioning, Dataset Generation, Dataset Preparation, Dataset Preprocessing, Image Processing, RunwayML and many more.

American Regenerative Farming Education & Research

17 Followers

Dear Friends and Supporters, I'm thrilled to introduce you to Smoky Inferno, a startup on a mission to educate the public about the food they consume every day. Our unique blend of BBQ hub and interactive learning experiences aims to tackle the crucial problems facing America today. Our planet is in desperate need of protection, and the future of our food supply is at risk. Soil degradation, toxic substances in our food, and the loss of millions of bees are only a few of the major challenges we face. That's why Smoky Inferno is launching to take action now!

Wholesome Pastures Regenerative Family Farm

12 Followers

Regenerative Family Farm located in Ontario, Canada. Integrating rotational crops, grazing, trees, cover crops and silvopasture. We raise beef, sheep and lamb, chickens, eggs and more. We rotationally or strip graze our livestock and ensure soil health is a top priority. We do not use tillage and focus on naturally minimizing erosion, parasites and pests. Come along with us as we shift a historically conventional farm into a regenerative biodiverse booming ecosystem from clay! www.wholesomepastures.ca

City of God - Venerable Sister Mary of Jesus of Agreda

11 Followers

Based on the writings of Venerable Sister Mary of Jesus of Agreda (1602-1665). Her 4-volume set, which was translated into English by Fr. George Blatter (Fiscar Marison), is broadcast in a chapter-by-chapter format allowing you to enjoy the life story of the Blessed Virgin Mary anywhere you go. The story begins before creation and concludes at the Blessed Virgin Mary’s Coronation as Queen of Heaven. These are things God wants you to know, and revealed to Sr. Mary for the encouragement of the faithful. In the Gospel of John 16:12, Jesus says, “There is so much more I want to tell you, but you can’t bear it now.” Christ referenced this Gospel quote and told Sr. Mary of Jesus that this is what He was referring to and now is the time. You can have no better teacher.

Generally All-Around

9 Followers

Welcome to our channel about everything and anything under the sun. From fascinating holidays and facts, and mind-blowing theories to hilarious challenges and random musings. Whether you are seeking entertainment, inspiration, or knowledge, our channel about everything and anything has got you covered. We are dedicated to delivering engaging content that will keep you entertained and informed. So sit back, relax, and enjoy our diverse content. Don't wait; watch now and be a part of our exciting journey. Join our community and subscribe to be a part of the fun.

Ai Generate

9 Followers

This stunning artwork, titled "Beauty Queen," captures the intricate beauty of a woman through the unique perspective of AI technology. The use of bold, vibrant colors and detailed geometric shapes creates a striking portrayal of femininity and elegance. The interplay of light and shadow creates an intriguing depth and texture to the piece, giving it a sense of movement and life. Overall, this artwork is a testament to the power of artificial intelligence as a tool for creative expression and the unlimited potential of technology in the world of art.

AI-Generated Hits

7 Followers

Welcome to AI-Generated Hits, the ultimate destination for music lovers who crave cutting-edge sounds and revolutionary technology. Our channel is dedicated to exploring the world of artificial intelligence and machine learning as it intersects with the art of music production. Here, you'll find incredible performances, covers, and remixes that push the boundaries of what's possible with AI technology. From viral hits to experimental soundscapes, we showcase the best and brightest of the AI music scene. Join us on this exciting journey and discover the future of music today!

Users can generate videos up to 1080p resolution, up to 20 sec long, and in widescreen, vertical or square aspect ratios. You can bring your own assets to extend, remix, and blend, or generate entirely new content from text.

4 Followers

We’ve discovered neurons in CLIP that respond to the same concept whether presented literally, symbolically, or conceptually. This may explain CLIP’s accuracy in classifying surprising visual renditions of concepts, and is also an important step toward understanding the associations and biases that CLIP and similar models learn. Fifteen years ago, Quiroga et al.1 discovered that the human brain possesses multimodal neurons. These neurons respond to clusters of abstract concepts centered around a common high-level theme, rather than any specific visual feature. The most famous of these was the “Halle Berry” neuron, a neuron featured in both Scientific American⁠(opens in a new window) and The New York Times⁠(opens in a new window), that responds to photographs, sketches, and the text “Halle Berry” (but not other names). Two months ago, OpenAI announced CLIP⁠, a general-purpose vision system that matches the performance of a ResNet-50,2 but outperforms existing vision systems on some of the most challenging datasets. Each of these challenge datasets, ObjectNet, ImageNet Rendition, and ImageNet Sketch, stress tests the model’s robustness to not recognizing not just simple distortions or changes in lighting or pose, but also to complete abstraction and reconstruction—sketches, cartoons, and even statues of the objects. Now, we’re releasing our discovery of the presence of multimodal neurons in CLIP. One such neuron, for example, is a “Spider-Man” neuron (bearing a remarkable resemblance to the “Halle Berry” neuron) that responds to an image of a spider, an image of the text “spider,” and the comic book character “Spider-Man” either in costume or illustrated. Our discovery of multimodal neurons in CLIP gives us a clue as to what may be a common mechanism of both synthetic and natural vision systems—abstraction. We discover that the highest layers of CLIP organize images as a loose semantic collection of ideas, providing a simple explanation for both the model’s versatility and the representation’s compactness.