Remove 2024 Remove Machine Learning Remove Natural Language Processing
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Top 7 Data Science, Large Language Model, and AI Blogs of 2024

Data Science Dojo

In this blog, we will explore the top 7 LLM, data science, and AI blogs of 2024 that have been instrumental in disseminating detailed and updated information in these dynamic fields. Read to gain insights into how each distribution plays a role in real-world machine-learning tasks.

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How to Combine Streamlit, Pandas, and Plotly for Interactive Data Apps

KDnuggets

Born in India and raised in Japan, Vinod brings a global perspective to data science and machine learning education. Vinod focuses on creating accessible learning pathways for complex topics like agentic AI, performance optimization, and AI engineering. unique(), default=df[Region].unique()) unique(), default=df[Product].unique())

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Apple Workshop on Natural Language Understanding 2024

Machine Learning Research at Apple

Progress in natural language processing enables more intuitive ways of interacting with technology. For example, many of Apples products and services, including Siri and search, use natural language understanding and generation to enable a fluent and seamless interface experience for users.

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Most Requested ChatGPT Features for 2024

Analytics Vidhya

OpenAI’s ChatGPT stands out as a trailblazer in natural language processing, reshaping the landscape of human-AI interaction and setting new standards in the field.

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Make Sense of a 10K+ Line GitHub Repos Without Reading the Code

KDnuggets

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter Make Sense of a 10K+ Line GitHub Repos Without Reading the Code No time to read huge GitHub projects?

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'Quantum AI' algorithms already outpace the fastest supercomputers, study says

Flipboard

Image credit: BlackJack3D via Getty Images) Scientists say they have made a breakthrough after developing a quantum computing technique to run machine learning algorithms that outperform state-of-the-art classical computers. The researchers revealed their findings in a study published June 2 in the journal Nature Photonics.

Algorithm 181
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LLM in a Flash: Efficient Large Language Model Inference with Limited Memory

Machine Learning Research at Apple

This paper was accepted at the ACL 2024 Large language models (LLMs) are central to modern natural language processing, delivering exceptional performance in various tasks. However, their substantial computational and memory requirements present challenges, especially for devices with limited DRAM capacity.