MIT’s new ‘recursive’ framework lets LLMs process 10 million tokens without context rot

While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...
blockchain

Samsung’s Tiny Recursive Model (TRM) Outperforms Leading LLMs in Grid Puzzle AI Benchmarks

According to DeepLearning.AI, Samsung’s Tiny Recursive Model (TRM) utilizes iterative answer refinement and maintains a context of previous changes to tackle complex grid puzzles such as Sudoku, Mazes ...
Frontiers

High-precision shape reconstruction for optical fiber sensors based on cubic spline interpolation and tangent angle recursion

School of Physics and Optoelectronics, Xiangtan University, Xiangtan, Hunan, China Accurate reconstruction of optical fiber curves has important applications in fields like medicine, aerospace, and ...
Frontiers

Visual recursion without recursive language? a case study of a minimally verbal autistic child

The human faculty to generate an infinite set of structured expressions in language, present in most cultures and normal ontogeny, is the most substantial evidence of the human capacity for recursion.
Seeking Alpha

Recursion: Lack Of Near-Term Catalysts Leaves The Stock Vulnerable

Recursion's AI-enabled drug discovery platform continues to evolve, but this is yet to translate into meaningful clinical success. The recent cull of programs has further undermined investor ...
unite

Autonomous Agents with AgentOps: Observability, Traceability, and Beyond for your AI Application

The growth of autonomous agents by foundation models (FMs) like Large Language Models (LLMs) has reform how we solve complex, multi-step problems. These agents perform tasks ranging from customer ...
marktechpost

Relaxed Recursive Transformers with Layer-wise Low-Rank Adaptation: Achieving High Performance and Reduced Computational Cost in Large Language Models

Large language models (LLMs) rely on deep learning architectures that capture complex linguistic relationships within layered structures. Primarily based on Transformer architectures, these models are ...
GitHub

[Feature]: SMAWK Algorithm Via Recursion

The SMAWK algorithm is an efficient method for finding row minima in totally monotone matrices, a specific type of matrix where entries decrease or stay constant along each row and column. Developed ...