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OpenAI’s New Tool Explains Behavior of Language Model At Every Neuron Level

Analytics Vidhya

In recent news, OpenAI has been working on a groundbreaking tool to interpret an AI model’s behavior at every neuron level. Large language models (LLMs) such as OpenAI’s ChatGPT are often called black boxes.

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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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Generative AI in the Healthcare Industry Needs a Dose of Explainability

Unite.AI

Such issues are typically related to the extensive and diverse datasets used to train Large Language Models (LLMs) – the models that text-based generative AI tools feed off in order to perform high-level tasks. In this context, explainability refers to the ability to understand any given LLM’s logic pathways.

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Real AI Wins Project to Build Europe’s Open Source Large Language Model

Marktechpost

Together with UNINA and AI supercomputer cluster ‘Leonardo’, we can make this possible”. – Tarry Singh , CEO of Real AI B.V. Real AI will build the first Human-Centered LLM (large language model) by allocating substantial computing power from Leonardo, to significantly accelerate the development of a LLM from scratch.

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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. It could be a signal that the model is now more prone to engage in toxic or harmful conversations.

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This AI Paper Tests the Biological Reasoning Capabilities of Large Language Models

Marktechpost

A team of researchers from the University of Georgia and Mayo Clinic explored how well powerful computer algorithms, known as Large Language Models (LLMs), understand and solve biology-related questions. Their research found that OpenAI’s GPT-4 performed better than similar AI models regarding reasoning about biology.

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

Marktechpost

The paper explains why any technique for addressing undesirable LLM behaviors that do not completely eradicate them renders the model vulnerable to adversarial quick attacks. The post Understanding the Dark Side of Large Language Models: A Comprehensive Guide to Security Threats and Vulnerabilities appeared first on MarkTechPost.