Reasoning
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Technique improves the reasoning capabilities of large language models | MIT News
Large language models like those that power ChatGPT have shown impressive performance on tasks like drafting legal briefs, analyzing the…
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Buffer of Thoughts (BoT): A Novel Thought-Augmented Reasoning AI Approach for Enhancing Accuracy, Efficiency, and Robustness of LLMs
The remarkable performance in different reasoning tasks has been demonstrated by several Large Language Models (LLMs), such as GPT-4, PaLM,…
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Google DeepMind Introduces Med-Gemini: A Groundbreaking Family of AI Models Revolutionizing Medical Diagnosis and Clinical Reasoning
Artificial intelligence (AI) in medicine is revolutionizing how clinicians handle complex tasks such as diagnosing patients, planning treatments, and staying…
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Microsoft Releases Orca 2: Pioneering Advanced Reasoning in Smaller Language Models with Tailored Training Strategies
LLMs (Large Language Models) are trained on vast volumes of textual data to comprehend and produce language similar to that…
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Achieving Structured Reasoning with LLMs in Chaotic Contexts with Thread of Thought Prompting and Parallel Knowledge Graph Retrieval | by Anthony Alcaraz | Nov, 2023
Large language models (LLMs) demonstrated impressive few-shot learning capabilities, rapidly adapting to new tasks with just a handful of examples.…
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Knowledge Graph Transformers: Architecting Dynamic Reasoning for Evolving Knowledge | by Anthony Alcaraz | Oct, 2023
Knowledge graphs, which represent facts as interconnected entities, have emerged as a pivotal technique for enhancing AI systems with the…
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Enhancing Language Models with Analogical Prompting for Improved Reasoning
In recent years, language models have demonstrated remarkable proficiency in understanding and generating human-like text. However, despite their impressive language…
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