Both strategies use the same budgets and decoding settings as IL; only the data source differs (agent-generated branches rather than more expert trajectories). The pipeline seeds from a limited set of ...

The post emphasizes coding parity with Sonnet 4 and computer-use gains relative to Sonnet 4 under these scaffolds. Users should replicate with their own orchestration, tool stacks, and thinking ...

Michal Sutter is a data science professional with a Master of Science in Data Science from the University of Padova. With a solid foundation in statistical analysis, machine learning, and data ...

In the traditional cascade modeling approach, automatic speech recognition (ASR) first produces a single text string, which is then passed to retrieval. Small transcription errors can change query ...

ROMA provides a setup.sh quick start with Docker Setup (Recommended) or Native Setup, plus flags for E2B sandbox integration (--e2b, --test-e2b). The stack lists Backend: Python 3.12+ with ...

ACE positions “context engineering” as a first-class alternative to parameter updates. Instead of compressing instructions into short prompts, ACE accumulates and organizes domain-specific tactics ...

As AI agents evolve beyond simple chatbots, new design patterns have emerged to make them more capable, adaptable, and intelligent. These agentic design patterns define how agents think, act, and ...

Flow-GRPO (Flow-based Group Refined Policy Optimization) converts long-horizon, sparse-reward optimization into tractable single-turn updates: Benchmarks. The research team evaluates four task types: ...

What if an AI agent could localize a root cause, prove a candidate fix via automated analysis and testing, and proactively rewrite related code to eliminate the entire vulnerability class—then open an ...

Perplexity introduced “Email Assistant,” an AI agent that plugs into Gmail and Outlook to draft replies in your voice, auto-label and prioritize messages, and coordinate meetings end-to-end ...