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Art and Science of Image Annotation: The Tech Behind AI and Machine Learning

Becoming Human

The use of Artificial Intelligence (AI) has become increasingly prevalent in the modern world, seeing its potential to drastically improve human life in every way possible. It takes creativity, intuition, and problem-solving skills to develop artificial intelligence.

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Data labeling a practical guide (2023)

Snorkel AI

This points to a future where enterprise development of LLMs centers on data development, and data labeling remains a core requirement. That makes data labeling a foundational requirement for any supervised machine learning application—which describes the vast majority of ML projects. This is where data labeling fits in.

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Evaluate the text summarization capabilities of LLMs for enhanced decision-making on AWS

AWS Machine Learning Blog

The transformative power of advanced summarization capabilities will only continue growing as more industries adopt artificial intelligence (AI) to harness overflowing information streams. In the financial sector, investment banks condense earnings reports down to key takeaways to rapidly analyze quarterly performance.

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Top Predictive Analytics Tools/Platforms (2023)

Marktechpost

Predictive analytics uses methods from data mining, statistics, machine learning, mathematical modeling, and artificial intelligence to make future predictions about unknowable events. Insights from the data include patterns and relationships between several aspects that may not have been understood in the past.

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ML Pipeline Architecture Design Patterns (With 10 Real-World Examples)

The MLOps Blog

At that point, the Data Scientists or ML Engineers become curious and start looking for such implementations. There comes a time when every ML practitioner realizes that training a model in Jupyter Notebook is just one small part of the entire project. What are ML pipeline architecture design patterns?

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AI and Educational Equity: A Blueprint for Closing the Gap

Unite.AI

Although technology has the potential to make education easier to access for everyone, it can also act as a barrier that worsens inequity, especially for those already at a disadvantage. This blog is going to explore the complex topic of how artificial intelligence (AI) can help make education fair for everyone.

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