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The 3 Horizons of LLM Evolution

Flipboard

The shift from native LLMs (2018) to LLM agents (2025) has enabled AI to move beyond static knowledge, integrating retrieval, reasoning, and real-world interaction for autonomous problem-solving.

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Bridging the Gap: New Datasets Push Recommender Research Toward Real-World Scale

KDnuggets

Spotify Million Playlist Released for RecSys 2018, this dataset helps analyze short-term and sequential listening behavior. Read the original article at Turing Post , the newsletter for over 90 000 professionals who are serious about AI and ML. Yelp Open Dataset Contains 8.6M reviews, but coverage is sparse and city-specific.

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The most important unanswered questions of 2018 in Artificial Intelligence (AI) and Machine Learning (ML)

Dataconomy

This is the first part of an article series based on a whitepaper by Dataiku) The year 2018 was supposed to be the one. The post The most important unanswered questions of 2018 in Artificial Intelligence (AI) and Machine Learning (ML) appeared first on Dataconomy. Let’s find out.

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Automated Fine-Tuning of LLAMA2 Models on Gradient AI Cloud

Analytics Vidhya

However, in 2018, the “Universal Language Model Fine-tuning for Text Classification” paper changed the entire landscape of Natural Language Processing (NLP). LLAMA2 […] The post Automated Fine-Tuning of LLAMA2 Models on Gradient AI Cloud appeared first on Analytics Vidhya.

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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.

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Machine Learning & Data Analysts: Seizing the Opportunity in 2018

Dataconomy

Undoubtedly, 2017 has been yet another hype year for machine learning (ML) and artificial intelligence (AI). As ML and AI become increasingly ubiquitous in many industries, so does the proof that advanced analytics significantly improve day-to-day operations and drive more revenue for businesses.

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Enhancing Sentiment Analysis with ModernBERT

Analytics Vidhya

Since its introduction in 2018, BERT has transformed Natural Language Processing. It performs well in tasks like sentiment analysis, question answering, and language inference. Using bidirectional training and transformer-based self-attention, BERT introduced a new way to understand relationships between words in text.