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how-ai-agents-store,-forget,-and-retrieve?-a-fresh-look-at-memory-operations-for-the-next-gen-llms

How AI Agents Store, Forget, and Retrieve? A Fresh Look at Memory Operations for the Next-Gen LLMs

Source: MarkTechPost Memory plays a crucial role in LLM-based AI systems, supporting sustained, coherent interactions over time. While...
May 5, 2025
rwkv-x-combines-sparse-attention-and-recurrent-memory-to-enable-efficient-1m-token-decoding-with-linear-complexity

RWKV-X Combines Sparse Attention and Recurrent Memory to Enable Efficient 1M-Token Decoding with Linear Complexity

Source: MarkTechPost LLMs built on Transformer architectures face significant scaling challenges due to their quadratic complexity in sequence...
May 5, 2025
how-the-model-context-protocol-(mcp)-standardizes,-simplifies,-and-future-proofs-ai-agent-tool-calling-across-models-for-scalable,-secure,-interoperable-workflows-traditional-approaches-to-ai–tool-integration

How the Model Context Protocol (MCP) Standardizes, Simplifies, and Future-Proofs AI Agent Tool Calling Across Models for Scalable, Secure, Interoperable Workflows Traditional Approaches to AI–Tool Integration

Source: MarkTechPost Before MCP, LLMs relied on ad-hoc, model-specific integrations to access external tools. Approaches like ReAct interleave...
May 5, 2025
scaling-reinforcement-learning-beyond-math:-researchers-from-nvidia-ai-and-cmu-propose-nemotron-crossthink-for-multi-domain-reasoning-with-verifiable-reward-modeling

Scaling Reinforcement Learning Beyond Math: Researchers from NVIDIA AI and CMU Propose Nemotron-CrossThink for Multi-Domain Reasoning with Verifiable Reward Modeling

Source: MarkTechPost Large Language Models (LLMs) have demonstrated remarkable reasoning capabilities across diverse tasks, with Reinforcement Learning (RL)...
May 5, 2025
multimodal-queries-require-multimodal-rag:-researchers-from-kaist-and-deepauto.ai-propose-universalrag—a-new-framework-that-dynamically-routes-across-modalities-and-granularities-for-accurate-and-efficient-retrieval-augmented-generation

Multimodal Queries Require Multimodal RAG: Researchers from KAIST and DeepAuto.ai Propose UniversalRAG—A New Framework That Dynamically Routes Across Modalities and Granularities for Accurate and Efficient Retrieval-Augmented Generation

Source: MarkTechPost RAG has proven effective in enhancing the factual accuracy of LLMs by grounding their outputs in...
May 5, 2025
google-researchers-advance-diagnostic-ai:-amie-now-matches-or-outperforms-primary-care-physicians-using-multimodal-reasoning-with-gemini-2.0-flash

Google Researchers Advance Diagnostic AI: AMIE Now Matches or Outperforms Primary Care Physicians Using Multimodal Reasoning with Gemini 2.0 Flash

Source: MarkTechPost LLMs have shown impressive promise in conducting diagnostic conversations, particularly through text-based interactions. However, their evaluation...
May 4, 2025
meta-ai-releases-llama-prompt-ops:-a-python-toolkit-for-prompt-optimization-on-llama-models

Meta AI Releases Llama Prompt Ops: A Python Toolkit for Prompt Optimization on Llama Models

Source: MarkTechPost Meta AI has released Llama Prompt Ops, a Python package designed to streamline the process of...
May 4, 2025
ibm-ai-releases-granite-4.0-tiny-preview:-a-compact-open-language-model-optimized-for-long-context-and-instruction-tasks

IBM AI Releases Granite 4.0 Tiny Preview: A Compact Open-Language Model Optimized for Long-Context and Instruction Tasks

Source: MarkTechPost IBM has introduced a preview of Granite 4.0 Tiny, the smallest member of its upcoming Granite...
May 4, 2025
oversight-at-scale-isn’t-guaranteed:-mit-researchers-quantify-the-fragility-of-nested-ai-supervision-with-new-elo-based-framework

Oversight at Scale Isn’t Guaranteed: MIT Researchers Quantify the Fragility of Nested AI Supervision with New Elo-Based Framework

Source: MarkTechPost Frontier AI companies show advancement toward artificial general intelligence (AGI), creating a need for techniques to...
May 3, 2025
llms-can-now-reason-in-parallel:-uc-berkeley-and-ucsf-researchers-introduce-adaptive-parallel-reasoning-to-scale-inference-efficiently-without-exceeding-context-windows

LLMs Can Now Reason in Parallel: UC Berkeley and UCSF Researchers Introduce Adaptive Parallel Reasoning to Scale Inference Efficiently Without Exceeding Context Windows

Source: MarkTechPost Large language models (LLMs) have made significant strides in reasoning capabilities, exemplified by breakthrough systems like...
May 3, 2025
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