AI Weekly

APRIL 11, 2024

artificialintelligence-news.com Meta confirms that its Llama 3 open source LLM is coming in the next month On Tuesday, Meta confirmed that it plans an initial release of Llama 3 — the next generation of its large language model used to power generative AI assistants — within the next month. techxplore.com Are deepfakes illegal?

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Robotics Artificial Intelligence Artificial Intelligence Large Language Models 264

Towards AI

FEBRUARY 17, 2025

legal document review) It excels in tasks that require specialised terminologies or brand-specific responses but needs a lot of computational resources and may become obsolete with new data. For instance, a medical LLM fine-tuned on clinical notes can make more accurate recommendations because it understands niche medical terminology.

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Data Drift LLM Automation Metadata 95

O'Reilly Media

MARCH 25, 2025

Lets be real: building LLM applications today feels like purgatory. The truth is, we’re in the earliest days of understanding how to build robust LLM applications. What makes LLM applications so different? Two big things: They bring the messiness of the real world into your system through unstructured data.

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LLM Software Development Prompt Engineer Prompt Engineering 69

TheSequence

JULY 5, 2023

Created Using Midjourney In case you missed yesterday’s newsletter due to July the 4th holiday, we discussed the universe of in-context retrieval augmented LLMs or techniques that allow to expand the LLM knowledge without altering its core architecutre. Like any large tech company, data is the backbone of the Uber platform.

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Data Drift Data Quality Metadata Data Platform 52

Unite.AI

JUNE 24, 2024

This is not ideal because data distribution is prone to change in the real world which results in degradation in the model’s predictive power, this is what you call data drift. There is only one way to identify the data drift, by continuously monitoring your models in production.

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ODSC - Open Data Science

FEBRUARY 5, 2025

This problem often stems from inadequate user value, underwhelming performance, and an absence of robust best practices for building and deploying LLM tools as part of the AI development lifecycle. Real-world applications often expose gaps that proper data preparation could have preempted. Engineering scalable and adaptable solutions.

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AI Developer AI Development LLM Data Drift 52

The MLOps Blog

JUNE 27, 2023

Some popular data quality monitoring and management MLOps tools available for data science and ML teams in 2023 Great Expectations Great Expectations is an open-source library for data quality validation and monitoring. It could help you detect and prevent data pipeline failures, data drift, and anomalies.

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Machine Learning Metadata Data Scientist Data Quality 134