Unlocking model uplift through better evaluations

TraitBasis, inspired from mech intrep, gives high-fidelity user personas for comprehensive agent testing

TraitBasis, inspired from mech intrep, gives high-fidelity user personas for comprehensive agent testing

A deep dive into how leading companies are deploying AI agents reliably in production

Making safe, high-performing AI accessible through trusted enterprise infrastructure

Why the Global AI talent shortage Is undermining enterprise model alignment, and what you can do instead

Three major fixes that reshaped competitive coding scores and why your numbers may look very different now

OpenAI finally released an open-weights model, the gpt-oss. Their last open-weights release was GPT2, back in 2019!

A deep dive into how leading companies are deploying AI agents reliably in production

Irrelevant, universal phrases like "Interesting fact: Cats sleep most of their lives" appended to math problems can break AI models

How Collinear AI's Reward Models Transform Training Efficiency and Model Performance

A deep dive into how leading companies are deploying AI agents reliably in production

ServiceNow x Collinear

How the race to the top in AI benchmarks is leading to specialized optimization at the expense of real-world performance

A deep dive into how leading companies are deploying AI agents reliably in production

MasterClass has redefined personalized learning by providing access to the world's best minds – from culinary master Gordon Ramsay to fashion icon Anna Wintour. When they decided to create AI personas that could authentically represent these instructors, they faced a challenge that would make or break the entire experience.

A deep dive into how leading companies are deploying AI agents reliably in production

A deep dive into how leading companies are deploying AI agents reliably in production

Why Enterprises Need a New Approach

Why Traditional Models Fail in Modern Enterprises

A behind-the-scenes look at building enterprise-grade, reliable AI, at scale

They're everywhere!!!

LLM-as-Judge models are becoming more popular as evaluators in different areas, especially when it comes to aligning models with specific rules or principles using approaches like Reward Learning from AI Feedback (RLAIF).

Revolutionizing Safety: Ultra-Low Latency, High-Throughput Violation and False Refusal Detection Like Never Before!

When you're working with high-stakes data, like financial information, ensuring the accuracy of AI-generated responses is

From virtual assistants that streamline our tasks to intelligent systems that drive innovation, AI's potential seems boundless. Yet, with this immense power comes a profound responsibility.

Veritas is a suite of Reliability Judges for Batch and Real-time use cases

High-quality seed data can overcome many of the post-training challenges

Finetuning on Rationales improves Judge Rationale and Score

Accelerate Time to Production with Bespoke Quality Judge