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Category: A.I.
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GaiaNet – Install and run your own local and decentralized free AI agent service
https://github.com/GaiaNet-AI/gaianet-node
GaiaNet is a decentralized computing infrastructure that enables everyone to create, deploy, scale, and monetize their own AI agents that reflect their styles, values, knowledge, and expertise. It allows individuals and businesses to create AI agents. Each GaiaNet node provides
- a web-based chatbot UI.
- an OpenAI compatible API. See how to use a GaiaNet node as a drop-in OpenAI replacement in your favorite AI agent app.
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LARS – An application that enables you to run LLMs locally on your device
https://github.com/abgulati/LARS
This grounding helps increase accuracy and reduce the common issue of AI-generated inaccuracies or “hallucinations.” This technique is commonly known as “Retrieval Augmented Generation”, or RAG.
LARS aims to be the ultimate open-source RAG-centric LLM application. Towards this end, LARS takes the concept of RAG much further by adding detailed citations to every response, supplying you with specific document names, page numbers, text-highlighting, and images relevant to your question, and even presenting a document reader right within the response window. While all the citations are not always present for every response, the idea is to have at least some combination of citations brought up for every RAG response and that’s generally found to be the case.
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Chinese’s DeepSeek-Coder-V2 – Breaking the Barrier of Closed-Source Models in open source Code Intelligence
An open-source Mixture-of-Experts (MoE) code language model that achieves performance comparable to GPT4-Turbo in code-specific tasks. Specifically, DeepSeek-Coder-V2 is further pre-trained from an intermediate checkpoint of DeepSeek-V2 with additional 6 trillion tokens. Through this continued pre-training, DeepSeek-Coder-V2 substantially enhances the coding and mathematical reasoning capabilities of DeepSeek-V2, while maintaining comparable performance in general language tasks. Compared to DeepSeek-Coder-33B, DeepSeek-Coder-V2 demonstrates significant advancements in various aspects of code-related tasks, as well as reasoning and general capabilities. Additionally, DeepSeek-Coder-V2 expands its support for programming languages from 86 to 338, while extending the context length from 16K to 128K.
https://github.com/deepseek-ai/DeepSeek-Coder-V2
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RTG-SLAM: Real-time 3D Reconstruction at Scale Using Gaussian Splatting
https://gapszju.github.io/RTG-SLAM/
https://github.com/MisEty/RTG-SLAM
https://gapszju.github.io/RTG-SLAM/static/pdfs/RTG-SLAM_arxiv.pdf
A Real-time Gaussian SLAM (RTG-SLAM), a real-time 3D reconstruction system with an RGBD camera for large-scale environments using Gaussian splatting.
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Runway – Introducing Gen-3 Alpha. Gen3, a new frontier for high-fidelity, controllable video generation.
https://runwayml.com/blog/introducing-gen-3-alpha/
Gen-3 Alpha is the first of an upcoming series of models trained by Runway on a new infrastructure built for large-scale multimodal training. It is a major improvement in fidelity, consistency, and motion over Gen-2, and a step towards building General World Models.
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Immersity.AI turns 2D art and videos into 3D animation
Immersity AI (formerly LeiaPix), turns 2D illustrations into 3D animation, ideal for bringing a sketch, painting or scene to life.
It converts the video into an animated depth video and uses that to trigger depth in the final output.
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Lighting Every Darkness with 3DGS: Fast Training and Real-Time Rendering and Denoising for HDR View Synthesis
https://srameo.github.io/projects/le3d/
LE3D is a method for real-time HDR view synthesis from RAW images. It is particularly effective for nighttime scenes.
https://github.com/Srameo/LE3D
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Nir Zicherman – How AI Image Models Work
https://every.to/p/how-ai-image-models-work
By drawing an analogy to a children’s game where noise in sentences must be corrected to reveal coherent plots, Zicherman elucidates how AI models iteratively remove noise from images to generate clear visuals. The process involves training AI to recognize patterns in noisy data and directing it with specific textual prompts to produce desired images. This demystifies the complex mathematics and computing underlying modern AI image generation.
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Ashton Kutcher Says Soon ‘You’ll Be Able to Render a Whole Movie’ Using AI
https://variety.com/2024/film/news/ashton-kutcher-ai-movies-sora-hollywood-1236027196/
“I have a beta version of it and it’s pretty amazing,” Kutcher said of the platform in a recent conversation with former Google CEO Eric Schmidt at the Berggruen Salon in Los Angeles.
“Why would you go out and shoot an establishing shot of a house in a television show when you could just create the establishing shot for $100? To go out and shoot it would cost you thousands of dollars,” Kutcher said. “Action scenes of me jumping off of this building, you don’t have to have a stunt person go do it, you could just go do it [with AI].
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Adobe scolded for selling ‘Ansel Adams-style’ images generated by AI
https://www.theverge.com/2024/6/3/24170285/adobe-stock-ansel-adams-style-ai-generated-images
Adobe responded to the callout, saying it had removed the offending content and had privately messaged the Adams estate to get in touch directly in the future. The Adams estate, however, said it had contacted Adobe directly multiple times since August 2023.
“Assuming you want to be taken seriously re: your purported commitment to ethical, responsible AI, while demonstrating respect for the creative community, we invite you to become proactive about complaints like ours, & to stop putting the onus on individual artists/artists’ estates to continuously police our IP on your platform, on your terms,” said the Adams estate on Threads. “It’s past time to stop wasting resources that don’t belong to you.”
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