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The Emergence of Self-Reflection in AI: How Large Language Models Are Using Personal Insights to Evolve

Unite.AI

Artificial intelligence has made remarkable strides in recent years, with large language models (LLMs) leading in natural language understanding, reasoning, and creative expression. Yet, despite their capabilities, these models still depend entirely on external feedback to improve.

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The Hidden Risks of DeepSeek R1: How Large Language Models Are Evolving to Reason Beyond Human Understanding

Unite.AI

Renowned for its ability to efficiently tackle complex reasoning tasks, R1 has attracted significant attention from the AI research community, Silicon Valley , Wall Street , and the media. Yet, beneath its impressive capabilities lies a concerning trend that could redefine the future of AI.

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New AI training techniques aim to overcome current challenges

AI News

OpenAI and other leading AI companies are developing new training techniques to overcome limitations of current methods. Addressing unexpected delays and complications in the development of larger, more powerful language models, these fresh techniques focus on human-like behaviour to teach algorithms to ‘think.

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Meta FAIR advances human-like AI with five major releases

AI News

The Fundamental AI Research (FAIR) team at Meta has announced five projects advancing the company’s pursuit of advanced machine intelligence (AMI). Vision encoders function as the “eyes” for AI systems, allowing them to understand visual data.

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Ant Group uses domestic chips to train AI models and cut costs

AI News

The Alibaba-owned company has used chips from domestic suppliers, including those tied to its parent, Alibaba , and Huawei Technologies to train large language models using the Mixture of Experts (MoE) method. Ant has made its models open source. The company’s optimised training method reduced that cost to around 5.1

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How Does Claude Think? Anthropic’s Quest to Unlock AI’s Black Box

Unite.AI

Large language models (LLMs) like Claude have changed the way we use technology. But despite their amazing abilities, these models are still a mystery in many ways. These interpretability tools could play a vital role, helping us to peek into the thinking process of AI models.

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Knowledge Fusion of Large Language Models (LLMs)

Analytics Vidhya

Introduction In Natural Language Processing (NLP), developing Large Language Models (LLMs) has proven to be a transformative and revolutionary endeavor. These models, equipped with massive parameters and trained on extensive datasets, have demonstrated unprecedented proficiency across many NLP tasks.