What if you could tune multi-modal retrieval (transaction accuracy, latency, and index size) at serving time by simply selecting the number of learnable meta-tokens to use (e.g., 1→16 for queries, 1→64 for candidates)? Introduction...
long story short: A team of researchers from Stanford University, SambaNova Systems, and UC Berkeley introduced the ACE framework, which improves LLM performance by: Edit and grow input context instead of updating model weights....
Google has open sourced the Model Context Protocol (MCP) server, which exposes read-only access to the Google Ads API for agency and LLM applications. repository googleads/google-ads-mcp Use Python to implement the MCP server. Currently,...
Long story short: The computer usage agent is a VLM-driven UI agent that behaves like a user on unmodified software. baseline at operating system world Started with 12.24% (human 72.36%); Claude Sonnet 4.5 Report...
Long story short: Skala is a deep learning exchange correlation function for Kohn-Sham density functional theory (DFT) that targets hybrid-level accuracy at semi-local cost, reporting MAE ≈ 1.06 kcal/mol on W4-17 (0.85 on a...
Can iterative draft revision solvers that repeatedly update latent scratchpads outperform larger autoregressive LLMs on ARC-AGI? Samsung SAIT (Montreal) released Tiny Recursive Model (TRM)— A two-layer, ~7M parameter recursive reasoner that reports 44.6–45% Test...
Long story short: A new Apple study formalizes what reinforcement learning RL should do “during training” after training and introduces RA3 (Reasoning as action abstraction)— An EM-style program that learns time-consistent potential actions from...
Long story short: AgentFlow is a trainable agent framework with four modules (Planner, Executor, Validator, Generator) coordinated by an explicit memory and toolset. Planner optimized in loop Using new in-strategy methods, flow-grpowhich broadcasts trajectory-level...
How do you audit cutting-edge LL.M.s for inconsistent behavior in a realistic multi-round, tool-use environment—at scale and beyond a rough summary score? Anthropic release Petri (a parallel exploration tool for risk interactions)an open source...
MCP (Model Context Protocol): Transport-agnostic open protocol that standardizes the discovery and invocation of tools/resources across hosts and servers. most suitable Portable, multi-tool, multi-runtime system. Function call: Provider functions...