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Top 7 data science, AI and large language models blogs of 2023

Data Science Dojo

As we delve into 2023, the realms of Data Science, Artificial Intelligence (AI), and Large Language Models (LLMs) continue to evolve at an unprecedented pace. In this blog, we will explore the top 7 blogs of 2023 that have been instrumental in disseminating detailed and updated information in these dynamic fields.

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Training Sessions Coming to ODSC APAC 2023

ODSC - Open Data Science

More confirmed sessions include Introduction to Large Lange Models (LLMs) | ODSC Instructor Introduction to Data Course | Sheamus McGovern | CEO and Software Architect, Data Engineer, and AI expert | ODSC Advanced NLP: Deep Learning and Transfer Learning for Natural Language Processing | Dipanjan (DJ) Sarkar | Lead Data Scientist | Google Developer (..)

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Top 15 Data Analytics Projects in 2023 for beginners to Experienced

Pickl AI

Top 15 Data Analytics Projects in 2023 for Beginners to Experienced Levels: Data Analytics Projects allow aspirants in the field to display their proficiency to employers and acquire job roles. NLP techniques help extract insights, sentiment analysis, and topic modeling from text data.

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Getting Started with AI

Towards AI

Last Updated on August 26, 2023 by Editorial Team Author(s): Jeff Holmes MS MSCS Originally published on Towards AI. McKinney, Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython, 2nd ed., Natural Language Processing with Python — Analyzing Text with the Natural Language Toolkit.

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Must-Have Prompt Engineering Skills for 2024

ODSC - Open Data Science

Fine-tuning is important for applying domain-specific knowledge to an existing LLM which provides better performance and prompt results Inference Efficiency An emergent skill in late 2023, its inclusion speaks to its importance. NLP skills have long been essential for dealing with textual data.

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How to become an AI Architect?

Pickl AI

from 2023 to 2030. Explore topics such as regression, classification, clustering, neural networks, and natural language processing. Data Manipulation and Preprocessing Proficiency in data preprocessing techniques, feature engineering, and data wrangling to ensure the quality and reliability of input data.

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