Dezeen’s Post

Next up: This post explores the Florence-2 architecture, sample inferences, and its applications. When fine-tuned for specific tasks, it can eliminate redundancies in traditional methods. Check out the Medium blog here: https://lnkd.in/euGRdZfw

Leading LLMs are converging on the Mixture of Experts architecture.

Innovating Manuscript Publication: A GenAI-Powered Platform Using Agentic RAG Architecture. For more insights on how Generative AI is transforming publishing platforms explore this article #GenAI #AI #GGU #ManuscriptPublication #AgenticRAG #RAG

So many possibilities in this architecture.

“A deep exploration of TiDE, its implementation using Darts and a real life use case comparison with DeepAR and TFT (a Transformer architecture)“ Read this story from Rafael Guedes on Medium:

For a comprehensive yet accessible explainer on Flamingo, "the landmark architecture that introduced robust models capable of understanding both images and text," don't miss Daniel Warfield's latest deep dive.

For a comprehensive yet accessible explainer on Flamingo, "the landmark architecture that introduced robust models capable of understanding both images and text," don't miss Daniel Warfield's latest deep dive.

Mixture of Expert Architecture: A machine learning model that combines the strengths of multiple “expert” models to make more accurate and robust predictions. Implementation and Benefits: A mixture of experts is implemented as a set of models, each trained on a subset of the data, and combined using a gating network. It offers more flexibility, robustness, and accuracy than a single model. Applications: A mixture of experts has been applied in various domains, such as language models, reinforcement learning, transfer learning, and divide-and-conquer tasks. Google Gemini and Mixtral 8x7B: Two examples of models that use a mixture of experts architecture. Google Gemini is a large, computationally efficient neural network for language tasks. Mixtral 8x7B is a sparse mixture of experts model that outperforms or matches other large language models.

Explained: Transformers for Everyone The underlying architecture of modern LLMs

The Infamous Attention Mechanism in the Transformer Architecture via #TowardsAI → https://bit.ly/3UNchdI