Artificial intelligence
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NVIDIA AI Introduces PivotRL: A New AI Framework That Achieves Higher Agent Accuracy with 4x Fewer Outputs and More Efficient Turns
After training Large-scale Language Modelers (LLMs) for long-horizon agent tasks—such as software engineering, web browsing, and the use of complex…
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Google Introduces TurboQuant: A New Compression Algorithm That Reduces LLM Key Value Cache Memory by 6x and Delivers Up to 8x Speedup, All with Zero Loss of Accuracy
The scaling of large-scale language models (LLMs) is increasingly constrained by the memory interface between High-Bandwidth Memory (HBM) and SRAM.…
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Paged Attention to Major Language Models LLMs
When using LLMs at scale, the real limitation is GPU memory rather than computation, mainly because each application needs a…
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This AI Paper Introduces TinyLoRA, a 13-Parameter Fine-Tuning Method That Achieves 91.8 Percent of GSM8K on Qwen2.5-7B
Researchers from FAIR on the Meta, Cornell Universityagain Carnegie Mellon University showed that large-scale linguistic models (LLMs) can learn reasoning…
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Artificial Data: How Human Expertise Makes Scale Usable for AI
AI teams are under constant pressure to move faster. They need more data, more diversity, and broader coverage across contexts,…
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Yann LeCun’s New LeWorldModel (LeWM) Leads to Research JEPA Collapse in Pixel-based Predictive World Modeling
World Models (WMs) are a central framework for developing agents that think and plan in a discrete collective environment. However,…
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How to build a “humble” AI | MIT News
Artificial intelligence holds the promise of helping doctors identify patients and personalize treatment options. However, an international group of scientists…
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New Meta AI Hyperagents Don’t Just Solve Tasks—They Rewrite the Rules of How They Learn
The dream of iterative self-improvement in AI—where the system doesn’t just get better at the job, but gets better reading-It…
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Developing international trade research and community outreach | MIT News
The sense of support and community was palpable when Sojun Park, a fellow at the MIT Center for International Studies…
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How to design a production-ready AI agent that automates Google Colab workflows using Colab-MCP, MCP Tools, FastMCP, and Kernel Execution
import asyncio import json import io import contextlib import re from dataclasses import dataclass from typing import Callable, Awaitable import…
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