#computational-efficiency

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Artificial intelligence
fromHackernoon
1 year ago

Multi-Token Prediction: Mastering Algorithmic Reasoning with Enhanced Resource Use | HackerNoon

Multi-token prediction in training language models allows for efficient resource allocation based on token prediction difficulty.
fromHackernoon
1 year ago

Mutation Testing with GPT and CodeLlama | HackerNoon

Mutation testing enhances software reliability by identifying weaknesses in test suites through strategic code mutations.
fromHackernoon
8 months ago

Battle of the Algorithms: Why SGRLD Beats the Competition in GP Inference | HackerNoon

The SGRLD method significantly improves the estimation of spatial covariance parameters in large datasets compared to traditional Bayesian methods.
Artificial intelligence
fromWIRED
2 months ago

Google DeepMind's AI Agent Dreams Up Algorithms Beyond Human Expertise

AlphaEvolve demonstrates that AI models can generate novel and efficient algorithms that surpass human capabilities in specific tasks.
#nonlinear-equations
fromHackernoon
4 months ago
Scala

NonlinearSolve.jl: High-Performance and Robust Solvers for Systems of Nonlinear Equations in Julia | HackerNoon

fromHackernoon
4 months ago
Scala

NonlinearSolve.jl: High-Performance and Robust Solvers for Systems of Nonlinear Equations in Julia | HackerNoon

more#nonlinear-equations
Artificial intelligence
fromHackernoon
1 year ago

Google Researchers Develop New AI Tech That Doesn't Waste Brainpower on Useless Words | HackerNoon

Transformers can dynamically allocate compute resources to enhance efficiency in language model performance.
Artificial intelligence
fromHackernoon
1 year ago

Goodbye, Compute-Hungry Models-This Tiny AI Is the Future of Prediction | HackerNoon

The TTM model presents a solution for efficient pre-training in time series forecasting with limited data availability.
fromHackernoon
5 months ago

Why Some AI Power Flow Models Are Faster Than Others | HackerNoon

The study shows that PPFL methods exhibit superior computational efficiency over DPFL methods due to their reliance on predefined physical models, avoiding training processes.
Artificial intelligence
fromHackernoon
8 months ago

Primer on Large Language Model (LLM) Inference Optimizations: 2. Introduction to Artificial Intelligence (AI) Accelerators | HackerNoon

AI accelerators are specialized hardware optimized for AI workloads, enabling significant performance gains and cost reductions when deploying Large Language Models at scale.
Artificial intelligence
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