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 ...
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 ...
Google AI Proposes ReasoningBank: A Strategy-Level AI Agent Memory Framework that Makes LLM Agents Self-Evolve at Test Time ...
Liquid AI has released LFM2-Audio-1.5B, a compact audio–language foundation model that both understands and generates speech and text through a single end-to-end stack. It positions itself for ...
SwiReasoning is a decoding-time framework that lets a reasoning LLM decide when to think in latent space and when to write explicit chain-of-thought, using ...
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 ...
An open-source framework that couples LLM-driven program mutations with evolutionary search to automate algorithm discovery and optimization. Code and report are public. 2) How does it achieve higher ...
What Do We Mean by “Physical AI”? Artificial intelligence in robotics is not just a matter of clever algorithms. Robots operate in the physical world, and their intelligence emerges from the co-design ...
Alibaba’s Tongyi Lab has open-sourced Tongyi-DeepResearch-30B-A3B, an agent-specialized large language model built for long-horizon, deep information-seeking with web tools. The model uses a ...
Xiaomi’s MiMo team released MiMo-Audio, a 7-billion-parameter audio-language model that runs a single next-token objective over interleaved text and discretized speech, scaling pretraining beyond 100 ...
In this tutorial, we walk through the process of building an advanced AI desktop automation agent that runs seamlessly in Google Colab. We design it to interpret natural language commands, simulate ...
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