Tag: LLM

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DeepSeek AI Introduces CODEI/O: A Novel Approach that Transforms Code-based Reasoning Patterns into Natural Language Formats to Enhance LLMs’ Reasoning Capabilities

DeepSeek AI Introduces CODEI/O: A Novel Approach that T...

Large Language Models (LLMs) have advanced significantly in natural language pro...

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This AI Paper from Apple Introduces a Distillation Scaling Law: A Compute-Optimal Approach for Training Efficient Language Models

This AI Paper from Apple Introduces a Distillation Scal...

Language models have become increasingly expensive to train and deploy. This has...

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KAIST and DeepAuto AI Researchers Propose InfiniteHiP: A Game-Changing Long-Context LLM Framework for 3M-Token Inference on a Single GPU

KAIST and DeepAuto AI Researchers Propose InfiniteHiP: ...

In large language models (LLMs), processing extended input sequences demands sig...

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This AI Paper from IBM and MIT Introduces SOLOMON: A Neuro-Inspired Reasoning Network for Enhancing LLM Adaptability in Semiconductor Layout Design

This AI Paper from IBM and MIT Introduces SOLOMON: A Ne...

Adapting large language models for specialized domains remains challenging, espe...

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How Does DeepSeek Measure up as a PR Tool?

How Does DeepSeek Measure up as a PR Tool?

On January 20th, 2025, a Chinese company called DeepSeek released a new AI model...

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The Many Faces of Reinforcement Learning: Shaping Large Language Models

The Many Faces of Reinforcement Learning: Shaping Large...

In recent years, Large Language Models (LLMs) have significantly redefined the f...

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Top AI Models are Getting Lost in Long Documents

Top AI Models are Getting Lost in Long Documents

A new study from researchers at LMU Munich, the Munich Center for Machine Learni...

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Keeping LLMs Relevant: Comparing RAG and CAG for AI Efficiency and Accuracy

Keeping LLMs Relevant: Comparing RAG and CAG for AI Eff...

Suppose an AI assistant fails to answer a question about current events or provi...

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