AI AI Research Large Language Models 
Unite.AI
MARCH 1, 2025
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.
Unite.AI
MARCH 6, 2025
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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AI News
NOVEMBER 28, 2024
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.
Unite.AI
APRIL 2, 2025
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.
Analytics Vidhya
FEBRUARY 16, 2024
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.
Unite.AI
SEPTEMBER 18, 2024
The field of artificial intelligence is evolving at a breathtaking pace, with large language models (LLMs) leading the charge in natural language processing and understanding. As we navigate this, a new generation of LLMs has emerged, each pushing the boundaries of what's possible in AI. Visit Claude 3 → 2.
AssemblyAI
MAY 3, 2023
In the grand tapestry of modern artificial intelligence, how do we ensure that the threads we weave when designing powerful AI systems align with the intricate patterns of human values? This question lies at the heart of AI alignment , a field that seeks to harmonize the actions of AI systems with our own goals and interests.
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