AIME’s Post

As everyone talks about AI.. Both every day AI and game changing AI. It was very interesting to learn AI models and architecture on Pluralsight.

🌟 Exciting update! Check out this insightful blog post on predictive maintenance and neural-symbolic architecture for explaining rare events. The post explores a novel approach using a combination of unsupervised autoencoder and rule-learning algorithm to provide explanations for failures predicted by black box models. The system offers both global and local explanations, showcasing its potential in real-world applications. Dive into the details here: https://bit.ly/4aLpI3n #NeuralSymbolic #PredictiveMaintenance #AI #ExplainableAI

Misperception: AI results are restricted to the algorithm being used. Reality: Odyssey’s pluggable architecture allows AIDA to use multiple algorithms for better results. #AI #TechInnovation https://buff.ly/4c6ci2A

The future of AI art is here with Black Forest Labs' latest release. Flux, the suite of state-of-the-art models, promises to redefine the capabilities of AI-generated imagery. With a focus on prompt adherence and advanced architecture, Flux is poised to push the boundaries of creativity, efficiency, and diversity in AI-generated media. Positives of Flux include its impressive detail, realistic textures, and emphasis on prompt adherence. Challenges include the subjective nature of art and potential lack of user-friendly interfaces. How do you think Flux compares to industry leader Midjourney? Share your thoughts in the comments! — Hi, 👋🏼 my name is Doug, I love AI, and I post content to keep you up to date with the latest AI news. Follow and ♻️ repost to share the information! #flux #artificialintelligence #texttoimage

The more I stare into AI and idea of #AGI, the more I believe we need to understand how humans learn, interact, think in order to model for this outcome. Yann LeCun's mental model and proposed architecture for autonomous intelligence is something I keep coming back to, even from early 2022 which feels like almost a century ago in the world of AI. Architecture composed of six separate modules. Each is assumed to be differentiable, in that it can easily compute gradient estimates of some objective function with respect to its own input and propagate the gradient information to upstream modules. Valeriia Kuka at TuringPost's recent write up frames up JEPA (Joint Embedding Predictive Architecture) which is at the heart of LeCun's proposed vision for human-level reasoning and is a good reminder of the varied approaches to how we might solve for higher intelligence. 🔗 Link to read more: https://lnkd.in/gwm7mkQQ

🌟Explore the cutting-edge developments in AI with our latest analysis on Griffin and RecurrentGemma. This report unveils how these advanced models are revolutionizing our approach to AI challenges, offering solutions beyond traditional methods. 🎯 Innovative Concepts: Learn about Griffin’s hybrid architecture and how RecurrentGemma is paving the way for practical AI applications. 🎯 Practical Insights: Gain actionable knowledge that can influence your projects or research. 🎯 Stay Ahead: Understand the technologies shaping the future of AI and prepare for emerging trends. #AI #TechTrends #Innovation #FutureOfAI

🔆 Attempt to amalgamate Tech with Experience 🔆 --- We are often told that we see or experience is one of the version of reality and not reality in its true form. Infact, there is no absolute form of reality. --- Now, let's drive a parallel to Generative AI where the fodder on which the models feed on is the representation of a universe of tokens in a higher dimensional space or hyperspace. --- In various models, there are different types of embeddings like BGE, NV-embed, LLAMA etc which can be either used directly or further finetuned. These embeddings can essentially be called a version of reality. These versions of reality only represent limited view of whole set/universe of realities that can exist. --- Can feeding multiple versions of reality/ multiple embeddings into an architecture provide us better results? #writtenbyhuman #experiencetoAI #originalthought

Ever wondered how Google's AI might dream? 🤖💭 Dive into the architecture of their first Tensor Processing Unit and unlock the secrets behind machine intelligence. Your #AI insights start here! #aizona

🔥🔥SOTA: Stable Diffusion 3 is out!🔥🔥 👉Stable Diffusion 3 is the new SOTA in text-to-image generation (based on human preference evaluations). New Multimodal Diffusion Transformer (MMDiT) architecture uses separate sets of weights for image & language, improving text understanding/spelling capabilities. Weights & Source Code to be released soon💙 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬: ✅New noise samplers for rectified flow models ✅Novel and scalable text-to-image synthesis ✅Bi-directional mixing text-image token streams ✅Largest models outperform SOTA open models such as SDXL #artificialintelligence #machinelearning #ml #AI #deeplearning #computervision #AIwithPapers #metaverse 👉Discussion https://lnkd.in/dMgakzWm 👉Paper https://lnkd.in/d4i-9Bte 👉Blog https://lnkd.in/d-bEX-ww