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December, 2024

December, 2024

Cutting-Edge Techniques That Speed Up AI Without Extra Costs
:::info Authors: (1) Albert Gu, Machine Learning Department, Carnegie Mellon University and with equal contribution; (2) Tri Dao, Department of Computer Science, Princeton University and with equal co...
How Selection Mechanisms Transform State Space Models
:::info Authors: (1) Albert Gu, Machine Learning Department, Carnegie Mellon University and with equal contribution; (2) Tri Dao, Department of Computer Science, Princeton University and with equal co...
Why Compressing Information Helps AI Work Better
:::info Authors: (1) Albert Gu, Machine Learning Department, Carnegie Mellon University and with equal contribution; (2) Tri Dao, Department of Computer Science, Princeton University and with equal co...
How State Space Models Improve AI Sequence Modeling Efficiency
:::info Authors: (1) Albert Gu, Machine Learning Department, Carnegie Mellon University and with equal contribution; (2)...
Princeton and CMU Push AI Boundaries with the Mamba Sequence Model
:::info Authors: (1) Albert Gu, Machine Learning Department, Carnegie Mellon University and with equal contribution; (2)...
User Study for Evaluating Robust Style Mimicry
Table of Links Abstract and 1. Introduction Background and Related Work Threat Model Robust Style Mimicry Experiment...
Refactoring 020 - Transform Static Functions
Kill Static, Revive Objects TL;DR: Replace static functions with object interactions. Problems Addressed High coupling due to global access Poor testability Overloaded protocols in classes Decrea...
How I Made Money Investing in Domains (SEO Strategy)
\ If you read my previous article, "I Built a Niche Site and Ranked It on Google in a Short Time, Here’s How,” you ...
Compute Resources for Style Mimicry Experiments
Table of Links Abstract and 1. Introduction Background and Related Work Threat Model Robust Style Mimicry Experiment...
Misalignment Between Instructions and Responses in Domain-Specific LLM Tasks
Table of Links Abstract and Introduction SylloBio-NLI Empirical Evaluation Related Work Conclusions Limitations and References \ A. Formalization of the SylloBio-NLI Resource Generation Process...
Newswire > December, 2024

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