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Ai research

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All Ai research (9) Ai (2978) Artificial-intelligence (2352) Machine-learning (2046) Generative-ai (1032) Business-ai (895) Ai-ethics (839) Openai (782) Nlp (574) Innovation (533) Chatgpt (395)

Generative-ai • April 20, 2025

Generative AI Agents: Navigating Challenges Ahead

Generative AI agents revolutionize industries. But what challenges do they present? Delve into the impact on our world.

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Research-breakthroughs • April 18, 2025

AI Tool to Transform Study of Political Conflicts

Explore how AI tools are transforming the study of political conflicts, offering new insights into their causes and solutions.

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Artificial Intelligence • April 17, 2025

AI Fact-Finding: OpenAI's Quest for Accuracy

OpenAI excels in fact-finding, yet accuracy falters. Discover the quest for improved AI reliability.

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Artificial-intelligence • April 16, 2025

UC Berkeley AI Research Boosted by $12M Fund in 7 Days

The House Fund swiftly raised $12M to advance UC Berkeley's AI research, cementing academia's pivotal role in AI development.

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Business-applications • April 15, 2025

Anthropic AI Research Boosts Google Workspace Integration

Anthropic unveils AI innovations and Google Workspace integration, boosting enterprise productivity and collaboration.

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AI • April 15, 2025

OpenAI's AI Models Design Experiments - A New Era

OpenAI introduces AI models crafting their own experiments. Dive into this innovation's impact on AI's future.

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Natural-language-processing • April 15, 2025

Small AI Models to Surpass Large Language Models by 2027

Small, task-specific AI models are expected to surpass general-purpose models by 2027, leading a new wave of AI efficiency and precision.

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Natural-language-processing • April 14, 2025

Over-Training Language Models: Challenges in Fine-Tuning

Over-training language models hinders adaptability in AI. Explore the implications for future NLP advancements.

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AI Research • April 3, 2025

Overtraining Risks in Large Language Models Unveiled

A new study exposes overtraining risks in LLMs. Learn strategies to prevent overfitting and maintain AI reliability.

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