TagsETH and Stanford Researchers Introduce MIRIAD: A 5.8M Pair Dataset to Improve LLM Accuracy...

Tag: ETH and Stanford Researchers Introduce MIRIAD: A 5.8M Pair Dataset to Improve LLM Accuracy...

AI

Unbabel Introduces TOWER+: A Unified Framework for High-Fidelity Translation and Instruction-Following in Multilingual LLMs

Mr Hossain - June 27, 2025 0

AI

Polaris-4B and Polaris-7B: Post-Training Reinforcement Learning for Efficient Math and Logic Reasoning

Mr Hossain - June 27, 2025 0

AI

GURU: A Reinforcement Learning Framework that Bridges LLM Reasoning Across Six Domains

Mr Hossain - June 27, 2025 0

AI

Build a Powerful Multi-Tool AI Agent Using Nebius with Llama 3 and Real-Time Reasoning Tools

Mr Hossain - June 27, 2025 0

AI

Google AI Releases Gemma 3n: A Compact Multimodal Model Built for Edge Deployment

Mr Hossain - June 27, 2025 0

AI

Inception Labs Introduces Mercury: A Diffusion-Based Language Model for Ultra-Fast Code Generation

Mr Hossain - June 27, 2025 0

AI

Google DeepMind Releases AlphaGenome: A Deep Learning Model that can more Comprehensively Predict the Impact of Single Variants or Mutations in DNA

Mr Hossain - June 26, 2025 0

AI

MIT and NUS Researchers Introduce MEM1: A Memory-Efficient Framework for Long-Horizon Language Agents

Mr Hossain - June 26, 2025 0

AI

Google AI Releases Gemini CLI: An Open-Source AI Agent for Your Terminal

Mr Hossain - June 26, 2025 0

AI

New AI Research Reveals Privacy Risks in LLM Reasoning Traces

Mr Hossain - June 25, 2025 0

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