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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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Building your first machine learning model in Python

Building your first machine learning model in Python

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6 min read
Understanding Generative AI and LLMs

Understanding Generative AI and LLMs

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3 min read
What other skills does industry need in ML?

What other skills does industry need in ML?

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1 min read
Search Engines 2.0: Powered by LLMs and Multilingual Voice Search

Search Engines 2.0: Powered by LLMs and Multilingual Voice Search

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8 min read
Computer Vision Meetup: Lessons Learned fine-tuning Llama2 for Autonomous Agents 31:03

Computer Vision Meetup: Lessons Learned fine-tuning Llama2 for Autonomous Agents

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1 min read
China's new Sora rival is here

China's new Sora rival is here

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1 min read
From sticks and levers to worlds and chasms

From sticks and levers to worlds and chasms

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2 min read
WaveCoder: Widespread And Versatile Enhancement For Code Large Language Models By Instruction Tuning

WaveCoder: Widespread And Versatile Enhancement For Code Large Language Models By Instruction Tuning

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3 min read
Computer Vision Meetup: Combining Hugging Face Transformer Models and Image Data with FiftyOne 09:25

Computer Vision Meetup: Combining Hugging Face Transformer Models and Image Data with FiftyOne

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1 min read
InfoLossQA: Characterizing and Recovering Information Loss in Text Simplification

InfoLossQA: Characterizing and Recovering Information Loss in Text Simplification

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3 min read
ReGAL: Refactoring Programs to Discover Generalizable Abstractions

ReGAL: Refactoring Programs to Discover Generalizable Abstractions

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4 min read
Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Mamba: Linear-Time Sequence Modeling with Selective State Spaces

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4 min read
Knockout: A simple way to handle missing inputs

Knockout: A simple way to handle missing inputs

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4 min read
Gated Linear Attention Transformers with Hardware-Efficient Training

Gated Linear Attention Transformers with Hardware-Efficient Training

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4 min read
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection

GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection

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4 min read
LLMs cannot find reasoning errors, but can correct them given the error location

LLMs cannot find reasoning errors, but can correct them given the error location

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5 min read
Deep Learning for Camera Calibration and Beyond: A Survey

Deep Learning for Camera Calibration and Beyond: A Survey

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4 min read
Harvard Undergraduate Survey on Generative AI

Harvard Undergraduate Survey on Generative AI

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2 min read
The Geometry of Categorical and Hierarchical Concepts in Large Language Models

The Geometry of Categorical and Hierarchical Concepts in Large Language Models

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4 min read
S-LoRA: Serving Thousands of Concurrent LoRA Adapters

S-LoRA: Serving Thousands of Concurrent LoRA Adapters

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4 min read
LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

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4 min read
Contrastive Learning and Mixture of Experts Enables Precise Vector Embeddings

Contrastive Learning and Mixture of Experts Enables Precise Vector Embeddings

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4 min read
Will we run out of data? Limits of LLM scaling based on human-generated data

Will we run out of data? Limits of LLM scaling based on human-generated data

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4 min read
Can LLMs Separate Instructions From Data? And What Do We Even Mean By That?

Can LLMs Separate Instructions From Data? And What Do We Even Mean By That?

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4 min read
REBUS: A Robust Evaluation Benchmark of Understanding Symbols

REBUS: A Robust Evaluation Benchmark of Understanding Symbols

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4 min read
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