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Machine Learning

A branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.

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Python antivirus or security operation solution and potentially machine learning.

Python antivirus or security operation solution and potentially machine learning.

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1 min read
AutoCodeRover: Autonomous Program Improvement

AutoCodeRover: Autonomous Program Improvement

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3 min read
Aprenda a falar inglês

Aprenda a falar inglês

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2 min read
Zero-shot Building Age Classification from Facade Image Using GPT-4

Zero-shot Building Age Classification from Facade Image Using GPT-4

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4 min read
The Illusion of State in State-Space Models

The Illusion of State in State-Space Models

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4 min read
Google Play Biometrics Verification Method: Should You Turn It On?

Google Play Biometrics Verification Method: Should You Turn It On?

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2 min read
AI enthusiasm #5 - Calculate your carbon footprint🌱

AI enthusiasm #5 - Calculate your carbon footprint🌱

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3 min read
DEVin | The Scary Future For Developers

DEVin | The Scary Future For Developers

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4 min read
Data preprocessing for extractive QA

Data preprocessing for extractive QA

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1 min read
Tools Every Data Scientist Should Know

Tools Every Data Scientist Should Know

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2 min read
Recommender Systems in the Era of Large Language Models (LLMs)

Recommender Systems in the Era of Large Language Models (LLMs)

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4 min read
Large Language Models as Optimizers

Large Language Models as Optimizers

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4 min read
Why do small language models underperform? Studying Language Model Saturation via the Softmax Bottleneck

Why do small language models underperform? Studying Language Model Saturation via the Softmax Bottleneck

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4 min read
Manipulating Large Language Models to Increase Product Visibility

Manipulating Large Language Models to Increase Product Visibility

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3 min read
H2O-Danube-1.8B Technical Report

H2O-Danube-1.8B Technical Report

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4 min read
Tiny Titans: Can Smaller Large Language Models Punch Above Their Weight in the Real World for Meeting Summarization?

Tiny Titans: Can Smaller Large Language Models Punch Above Their Weight in the Real World for Meeting Summarization?

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4 min read
CHOPS: CHat with custOmer Profile Systems for Customer Service with LLMs

CHOPS: CHat with custOmer Profile Systems for Customer Service with LLMs

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3 min read
Dataset Reset Policy Optimization for RLHF

Dataset Reset Policy Optimization for RLHF

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4 min read
ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models

ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models

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4 min read
BooookScore: A systematic exploration of book-length summarization in the era of LLMs

BooookScore: A systematic exploration of book-length summarization in the era of LLMs

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4 min read
Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length

Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length

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4 min read
The Curse of Recursion: Training on Generated Data Makes Models Forget

The Curse of Recursion: Training on Generated Data Makes Models Forget

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4 min read
TransformerFAM: Feedback attention is working memory

TransformerFAM: Feedback attention is working memory

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4 min read
Beginner's Guide to Math's for Machine Learning

Beginner's Guide to Math's for Machine Learning

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Tied-Lora: Enhancing parameter efficiency of LoRA with weight tying

Tied-Lora: Enhancing parameter efficiency of LoRA with weight tying

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4 min read
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