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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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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
S-LoRA: Serving Thousands of Concurrent LoRA Adapters

S-LoRA: Serving Thousands of Concurrent LoRA Adapters

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4 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
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
Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning

Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning

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5 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
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
Gated Linear Attention Transformers with Hardware-Efficient Training

Gated Linear Attention Transformers with Hardware-Efficient Training

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4 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
Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression

Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression

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3 min read
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