Remove AI Modeling Remove Explainability Remove Large Language Models
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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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Open source large language models: Benefits, risks and types

IBM Journey to AI blog

Large language models (LLMs) are foundation models that use artificial intelligence (AI), deep learning and massive data sets, including websites, articles and books, to generate text, translate between languages and write many types of content. The license may restrict how the LLM can be used.

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Meta unveils five AI models for multi-modal processing, music generation, and more

AI News

Meta has unveiled five major new AI models and research, including multi-modal systems that can process both text and images, next-gen language models, music generation, AI speech detection, and efforts to improve diversity in AI systems. “AudioSeal is being released under a commercial license.

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How Large Language Models Are Unveiling the Mystery of ‘Blackbox’ AI

Unite.AI

Thats why explainability is such a key issue. People want to know how AI systems work, why they make certain decisions, and what data they use. The more we can explain AI, the easier it is to trust and use it. Large Language Models (LLMs) are changing how we interact with AI.

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A Silent Evolution in AI: The Rise of Compound AI Systems Beyond Traditional AI Models

Unite.AI

As we navigate the recent artificial intelligence (AI) developments, a subtle but significant transition is underway, moving from the reliance on standalone AI models like large language models (LLMs) to the more nuanced and collaborative compound AI systems like AlphaGeometry and Retrieval Augmented Generation (RAG) system.

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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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New AI training techniques aim to overcome current challenges

AI News

The reported advances may influence the types or quantities of resources AI companies need continuously, including specialised hardware and energy to aid the development of AI models. The o1 model is designed to approach problems in a way that mimics human reasoning and thinking, breaking down numerous tasks into steps.