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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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RAFT: Adapting Language Model to Domain Specific RAG

RAFT: Adapting Language Model to Domain Specific RAG

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4 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
SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales

SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales

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4 min read
SqueezeLLM: Dense-and-Sparse Quantization

SqueezeLLM: Dense-and-Sparse Quantization

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4 min read
Do Llamas Work in English? On the Latent Language of Multilingual Transformers

Do Llamas Work in English? On the Latent Language of Multilingual Transformers

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4 min read
LLark: A Multimodal Instruction-Following Language Model for Music

LLark: A Multimodal Instruction-Following Language Model for Music

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3 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
Empirical influence functions to understand the logic of fine-tuning

Empirical influence functions to understand the logic of fine-tuning

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4 min read
Evaluating Quantized Large Language Models

Evaluating Quantized Large Language Models

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5 min read
Examining the robustness of LLM evaluation to the distributional assumptions of benchmarks

Examining the robustness of LLM evaluation to the distributional assumptions of benchmarks

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4 min read
Large Language Models for Generative Information Extraction: A Survey

Large Language Models for Generative Information Extraction: A Survey

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5 min read
Bridging the Empirical-Theoretical Gap in Neural Network Formal Language Learning Using Minimum Description Length

Bridging the Empirical-Theoretical Gap in Neural Network Formal Language Learning Using Minimum Description Length

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4 min read
A Shocking Amount of the Web is Machine Translated: Insights from Multi-Way Parallelism

A Shocking Amount of the Web is Machine Translated: Insights from Multi-Way Parallelism

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4 min read
Position: Categorical Deep Learning is an Algebraic Theory of All Architectures

Position: Categorical Deep Learning is an Algebraic Theory of All Architectures

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1 min read
Are We Living in a Nightmare or a Paradise Together with Machines?

Are We Living in a Nightmare or a Paradise Together with Machines?

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2 min read
How We Generated a 10K Dataset Using LLM to Fine-Tune Another LLM

How We Generated a 10K Dataset Using LLM to Fine-Tune Another LLM

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4 min read
Machine Learning Developmental Life Cycle

Machine Learning Developmental Life Cycle

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1 min read
A step-by-step guide to building an MLOps pipeline

A step-by-step guide to building an MLOps pipeline

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13 min read
Transform Your Video Transcripts: From Raw to Readable Text

Transform Your Video Transcripts: From Raw to Readable Text

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6 min read
Dev: Machine Learning

Dev: Machine Learning

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3 min read
Three Levels of Scrapping Data: From Basic to Advanced to Pro

Three Levels of Scrapping Data: From Basic to Advanced to Pro

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3 min read
ValueError: A given column is not a column of the dataframe

ValueError: A given column is not a column of the dataframe

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1 min read
Machine Learning Models: Linear Regression

Machine Learning Models: Linear Regression

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8 min read
Heart Disease Prediction System

Heart Disease Prediction System

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2 min read
A Quick Guide to RAG Using Algoboost for Embedding Vector Inference

A Quick Guide to RAG Using Algoboost for Embedding Vector Inference

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7 min read
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