Quest ReQuest VR

      ...TILL "YOU CAN'T AI" NO MORE ! 🎵🎶 Social Media Content Design: - Canva (https://www.canva.com/) - Adobe Spark (https://spark.adobe.com/) - Snappa (https://snappa.com/) - Crello (https://crello.com/) - Stencil (https://getstencil.com/) - Circleboom Publish (https://circleboom.com/) - StoryChief (https://storychief.io/) - SocialBee (https://socialbee.io/) Image Generation and Photo Upscaling: - DeepArt.io (https://deepart.io/) - Let’s Enhance (https://letsenhance.io/) - BigGAN (https://biggan.deepart.io/) - Artbreeder (https://artbreeder.com/) - Deep Dream Generator (https://deepdreamgenerator.com/) - Topaz Gigapixel AI (https://www.topazlabs.com/gigapixel-ai) - Remini (https://www.remini.ai/) - Pixbim Enlarge AI (https://www.pixbim.com/enlarge-ai) Video Creation from Text: - Synthesia (https://synthesia.io/) - Lumen5 (https://lumen5.com/) - Vidyard (https://www.vidyard.com/) - Animaker (https://www.animaker.com/) - Biteable (https://biteable.com/) - P...

Meta has unveiled Llama 3, its next-generation open-source language model, claiming the title of the most capable open-source model yet. Trained on a dataset seven times larger than its predecessor, Llama 2, the new model boasts architectural innovations and pretraining improvements, delivering superior performance in reasoning, code generation, and instruction following. Meta is positioning Llama 3 as the most capable openly available large language model, outperforming competitors like Google and Anthropic at similar scales. The Llama series, including Vicuna and Alpaca, has been instrumental in the AI space, powering various applications and serving as a basis for models developed by others. Llama 3 is expected to be available in 8B and 70B parameter versions, with larger, multi-modal models anticipated later in the year. Meta plans to release a light version within the next month, with the full model coming in May 2024[1][2][6]. The model will be integrated into Meta AI...

AI plays a pivotal role in enhancing and innovating the field of virtual reality (VR), offering tools and technologies that push the boundaries of immersive experiences. Here’s a look at some key AI tools and their applications within VR: 1. Machine Learning Algorithms - Purpose: To improve VR content adaptability and interactivity, making experiences more personalized and engaging. - Applications: Tailoring VR environments to user preferences, enhancing user interaction through predictive analytics, and optimizing performance based on user behavior patterns. 2. Natural Language Processing (NLP) - Purpose: To enable more natural and intuitive user interfaces within VR applications, allowing for voice commands and conversational interactions. - Applications: Voice-controlled VR environments, interactive VR characters responding to verbal commands, and real-time language translation in VR settings. 3. Computer Vision - Purpose: To enhance the perception and understanding of t...