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AI Learns from AI: The Emergence of Social Learning Among Large Language Models

Unite.AI

Since OpenAI unveiled ChatGPT in late 2022, the role of foundational large language models (LLMs) has become increasingly prominent in artificial intelligence (AI), particularly in natural language processing (NLP).

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ChatGPT and large language model bias | 60 Minutes

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AI researcher Timnit Gebru explains why large language models like ChatGPT have inherent bias and calls for oversight in the tech industry.

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This AI Paper Releases a Detailed Review of Open-Source Large Language Models that Claim to Catch up with or Surpass ChatGPT in Different Tasks

Marktechpost

The recent release of ChatGPT last year has taken the Artificial Intelligence community by storm. Based on GPT’s transformer architecture, which is the latest Large Language Model, ChatGPT has had a significant impact on both academic and commercial applications.

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Do Large Language Models Really Need All Those Layers? This AI Research Unmasks Model Efficiency: The Quest for Essential Components in Large Language Models

Marktechpost

The advent of large language models (LLMs) has sparked significant interest among the public, particularly with the emergence of ChatGPT. These models, which are trained on extensive amounts of data, can learn in context, even with minimal examples.

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This AI Research Dives Into The Limitations and Capabilities of Transformer Large Language Models (LLMs), Empirically and Theoretically, on Compositional Tasks

Marktechpost

ChatGPT is trending, and millions of people are using it every day. With its incredible capabilities of imitating humans, such as question answering, generating unique and creative content, summarizing massive textual data, code completion, and developing highly useful virtual assistants, ChatGPT is making our lives easier.

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Can a Language Model Revolutionize Radiology? Meet Radiology-Llama2: A Large Language Model Specialized For Radiology Through a Process Known as Instruction Tuning

Marktechpost

Large language models (LLMs) built on transformers, including ChatGPT and GPT-4, have demonstrated amazing natural language processing abilities. The creation of transformer-based NLP models has sparked advancements in designing and using transformer-based models in computer vision and other modalities.

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How Effective are Self-Explanations from Large Language Models like ChatGPT in Sentiment Analysis? A Deep Dive into Performance, Cost, and Interpretability

Marktechpost

Large language models consider surrounding text, but understanding the context can be challenging. Large language models may not correctly interpret such nuances. It’s important to consider these implications and use AI responsibly. In the assessment, they studied two ways of generation.