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meta-ai’s-‘early-experience’-trains-language-agents-without-rewards—and-outperforms-imitation-learning

Meta AI’s ‘Early Experience’ Trains Language Agents without Rewards—and Outperforms Imitation Learning

Source: MarkTechPost How would your agent stack change if a policy could train purely from its own outcome-grounded...
Oct 15, 2025
alibaba’s-qwen-ai-releases-compact-dense-qwen3-vl-4b/8b-(instruct-&-thinking)-with-fp8-checkpoints

Alibaba’s Qwen AI Releases Compact Dense Qwen3-VL 4B/8B (Instruct & Thinking) With FP8 Checkpoints

Source: MarkTechPost Do you actually need a giant VLM when dense Qwen3-VL 4B/8B (Instruct/Thinking) with FP8 runs in...
Oct 15, 2025
andrej-karpathy-releases-‘nanochat’:-a-minimal,-end-to-end-chatgpt-style-pipeline-you-can-train-in-~4-hours-for-~$100

Andrej Karpathy Releases ‘nanochat’: A Minimal, End-to-End ChatGPT-Style Pipeline You Can Train in ~4 Hours for ~$100

Source: MarkTechPost Andrej Karpathy has open-sourced nanochat, a compact, dependency-light codebase that implements a full ChatGPT-style stack—from tokenizer...
Oct 14, 2025
nvidia-researchers-propose-reinforcement-learning-pretraining-(rlp):-reinforcement-as-a-pretraining-objective-for-building-reasoning-during-pretraining

NVIDIA Researchers Propose Reinforcement Learning Pretraining (RLP): Reinforcement as a Pretraining Objective for Building Reasoning During Pretraining

Source: MarkTechPost NVIDIA AI has introduced Reinforcement Learning Pretraining (RLP), a training objective that injects reinforcement learning into...
Oct 14, 2025
microsoft-ai-debuts-mai-image-1:-an-in-house-text-to-image-model-that-enters-lmarena’s-top-10

Microsoft AI Debuts MAI-Image-1: An In-House Text-to-Image Model that Enters LMArena’s Top-10

Source: MarkTechPost Microsoft AI introduced MAI-Image-1, its first image generation model developed entirely in-house at Microsoft. The model...
Oct 14, 2025
swireasoning:-entropy-driven-alternation-of-latent-and-explicit-chain-of-thought-for-reasoning-llms

SwiReasoning: Entropy-Driven Alternation of Latent and Explicit Chain-of-Thought for Reasoning LLMs

Source: MarkTechPost SwiReasoning is a decoding-time framework that lets a reasoning LLM decide when to think in latent...
Oct 13, 2025
a-coding-implementation-of-secure-ai-agent-with-self-auditing-guardrails,-pii-redaction,-and-safe-tool-access-in-python

A Coding Implementation of Secure AI Agent with Self-Auditing Guardrails, PII Redaction, and Safe Tool Access in Python

Source: MarkTechPost In this tutorial, we explore how to secure AI agents in practical, hands-on ways using Python....
Oct 13, 2025
bytedance-introduces-seed-prover:-an-advanced-formal-reasoning-system-for-automated-mathematical-theorem-proving

ByteDance Introduces Seed-Prover: An Advanced Formal Reasoning System for Automated Mathematical Theorem Proving

Source: MarkTechPost LLMs have shown notable improvements in mathematical reasoning by extending through natural language, resulting in performance...
Aug 4, 2025
deepreinforce-team-introduces-cuda-l1:-an-automated-reinforcement-learning-(rl)-framework-for-cuda-optimization-unlocking-3x-more-power-from-gpus

DeepReinforce Team Introduces CUDA-L1: An Automated Reinforcement Learning (RL) Framework for CUDA Optimization Unlocking 3x More Power from GPUs

Source: MarkTechPost Estimated reading time: 6 minutes Table of contents The Breakthrough: Contrastive Reinforcement Learning (Contrastive-RL) How Good...
Aug 3, 2025
google-ai-releases-mle-star:-a-state-of-the-art-machine-learning-engineering-agent-capable-of-automating-various-ai-tasks

Google AI Releases MLE-STAR: A State-of-the-Art Machine Learning Engineering Agent Capable of Automating Various AI Tasks

Source: MarkTechPost MLE-STAR (Machine Learning Engineering via Search and Targeted Refinement) is a state-of-the-art agent system developed by...
Aug 3, 2025
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