Remove AI Modeling Remove Explainability Remove Large Language Models Remove LLM
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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.

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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. Some of the most illustrative examples of this can be found in the healthcare industry.

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

Marktechpost

During Data Science Conference 2023 in Belgrade on Thursday, 23 November, it was announced that Real AI won the ISCRA project. Real AI is chosen to build Europe’s first-ever Human-Centered LLM on the world’s 4th largest AI Computer Cluster ‘LEONARDO’. – Tarry Singh , CEO of Real AI B.V.

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The AI Mind Unveiled: How Anthropic is Demystifying the Inner Workings of LLMs

Unite.AI

In a world where AI seems to work like magic, Anthropic has made significant strides in deciphering the inner workings of Large Language Models (LLMs). By examining the ‘brain' of their LLM, Claude Sonnet, they are uncovering how these models think. How Anthropic Enhances Transparency of LLMs?

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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. That there is an inevitable trade-off between the precision of a standard model and its resilience against adversarial interventions.