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Give it a benchmark and walk away. An agent that does the part of ML research nobody enjoys: 40 experiments at 2am. It found a feature we'd missed, and stopped itself when it stopped learning.
It splits a task into stages, records the evidence behind each one, and turns every stage boundary into a checkpoint you can inspect, verify, roll back, fork, and resume from.
An AI Agent with direct access to a company's documents has more authority than it needs. VaultGate enforces need-to-know access before any protected content ever reaches the model.
An autonomous ML-research agent: +0.0040 over baseline, 45 runs, $2.55, zero interventions
Agentic workflow for RecSys enhancement for MLE's.
AI generated content detector
A transformation-aware detector that identifies AI-generated images after compression, blur, cropping, resizing, noise, and colour edits.
Autonomous ML agent - Zero human intervention
An autonomous agent that improves recommendation models through its own experiment loop
An offline, zero-token shopping agent that finds the hidden product in a 50,000 item catalog in under two turns on average.
Autonomous ML agent that engineers causal features, tunes & blends LightGBM/XGBoost/CatBoost rankers, self-converges in 8 min, and beats KuaiRand's baseline +5.5% relative on hidden test.
bbq sauce has designed a shopping copilot to find the perfect product for you in a Top 10 list in roughly 3 turns, with no LLM API, fully offline, with every design decision backed by data.
An AI research agent generates ML hypotheses; evolutionary search decides which experiments survive.
Autonomous FM HPO for KuaiRand-Pure: Qwen LoRA + GP-EI (HPUCB) search lr/l2/k on date-split valid; ship valid-best test ranks. Modest gain over official FM.
Identity and authorization middleware for AI agents: scoped, revocable permissions enforced live on every request, not just granted once and trusted forever. Real access control, not a prompt
Find what fits, conversation by conversation.
Every coding agent gets a gate: changes become persistent only after trusted checks and a one-shot permit. Rejected attempts leave the workspace unchanged. No evidence, no effect.
Building a conversational search system that asks smart questions and finds a customer’s ideal product from 50,000 items within 10 turns.
A fast, in-memory, high-performance recommendation algorithm based on the Amazon 2023 50K product catalog.
An autonomous ML research agent that builds and improves recommender models with best-first search, turning routine experimentation into a reproducible, clear workflow with minimal human intervention.
Intent Ledger is an offline hybrid facet-graph shopping copilot that remembers changing needs, narrows exact constraints, and protects recall with progressive search.
"Dont put keys in agent context" WATCH ME. Now with sandboxxing and storage for codified processes.
Robust Detection of AI‑Generated Images Under Real‑World Transformations
An LLM-powered shopping copilot that uncovers the right product from 50,000 options in 10 turns or fewer using intelligent questions and hybrid search.
