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A General Introduction to Large Language Model (LLM)

Artificial Corner

In this world of complex terminologies, someone who wants to explain Large Language Models (LLMs) to some non-tech guy is a difficult task. So that’s why I tried in this article to explain LLM in simple or to say general language. A transformer architecture is typically implemented as a Large language model.

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Small But Mighty: Small Language Models Breakthroughs in the Era of Dominant Large Language Models

Unite.AI

Small Language Models (SLM) are emerging and challenging the prevailing narrative of their larger counterparts. Despite their excellent language abilities these models are expensive due to high energy consumption, considerable memory requirements as well as heavy computational costs.

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A Deep Dive into Retrieval-Augmented Generation in LLM

Unite.AI

Imagine you're an Analyst, and you've got access to a Large Language Model. ” Large Language Model, for all their linguistic power, lack the ability to grasp the ‘ now ‘ And in the fast-paced world, ‘ now ‘ is everything. My last training data only goes up to January 2022.”

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Techniques and approaches for monitoring large language models on AWS

AWS Machine Learning Blog

Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP), improving tasks such as language translation, text summarization, and sentiment analysis. Monitoring the performance and behavior of LLMs is a critical task for ensuring their safety and effectiveness.

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Understanding the Dark Side of Large Language Models: A Comprehensive Guide to Security Threats and Vulnerabilities

Marktechpost

LLMs have become increasingly popular in the NLP (natural language processing) community in recent years. Scaling neural network-based machine learning models has led to recent advances, resulting in models that can generate natural language nearly indistinguishable from that produced by humans.

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Can Synthetic Clinical Text Generation Revolutionize Clinical NLP Tasks? Meet ClinGen: An AI Model that Involves Clinical Knowledge Extraction and Context-Informed LLM Prompting

Marktechpost

Medical data extraction, analysis, and interpretation from unstructured clinical literature are included in the emerging discipline of clinical natural language processing (NLP). Even with its importance, particular difficulties arise while developing methodologies for clinical NLP. We are also on Telegram and WhatsApp.

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2023 Was the Year of Large Language Models: Then and Now

ODSC - Open Data Science

The year 2023 has witnessed an unprecedented surge in the development of large language models , with new models emerging at an astonishing pace. In the early months of the year, Google AI took center stage with the release of PaLM 2 , a massive LLM with 540B parameters. Finally, in early November ChatGPT 4.5