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Data Science allows us to extract meaning from and interpret data.

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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
Comparing Inferential Strategies of Humans and Large Language Models in Deductive Reasoning

Comparing Inferential Strategies of Humans and Large Language Models in Deductive Reasoning

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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
ChatDev: Communicative Agents for Software Development

ChatDev: Communicative Agents for Software Development

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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
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
Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs

Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs

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3 min read
RAFT: Adapting Language Model to Domain Specific RAG

RAFT: Adapting Language Model to Domain Specific RAG

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4 min read
Evaluating Quantized Large Language Models

Evaluating Quantized Large Language Models

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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
SqueezeLLM: Dense-and-Sparse Quantization

SqueezeLLM: Dense-and-Sparse Quantization

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4 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
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
Virtual avatar generation models as world navigators

Virtual avatar generation models as world navigators

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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
Optimizing Matplotlib Performance: Handling Memory Leaks Efficiently

Optimizing Matplotlib Performance: Handling Memory Leaks Efficiently

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3 min read
Data Mesh: An Executive Guide to Modern Data Architecture in Manufacturing

Data Mesh: An Executive Guide to Modern Data Architecture in Manufacturing

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13 min read
Book Recommendations

Book Recommendations

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12 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
Navigating the Data Jungle. Data Analysis Software: A Comprehensive Guide

Navigating the Data Jungle. Data Analysis Software: A Comprehensive Guide

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11 min read
🎬 From image to text data... to image...to movie clip.

🎬 From image to text data... to image...to movie clip.

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1 min read
Pedaling Through Data: A Wheelie Fun Bike Rental Analysis with Python and PostgreSQL

Pedaling Through Data: A Wheelie Fun Bike Rental Analysis with Python and PostgreSQL

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4 min read
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