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The AI Safety Gap
Why Traditional Models Fail in Modern Enterprises
Feb 26
•
Soumyadeep Bakshi
and
Nazneen Rajani
4
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The AI Safety Gap
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Issue #1 | Notes on Improving AI Performance
A behind-the-scenes look at building enterprise-grade, reliable AI, at scale
Feb 12
•
Soumyadeep Bakshi
1
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Issue #1 | Notes on Improving AI Performance
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January 2025
Taming AI Agents: Why Your Butler Needs a Babysitter
They’re everywhere!!!
Jan 27
•
Meghana A Rajeev
,
Nazneen Rajani
, and
Soumyadeep Bakshi
5
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Taming AI Agents: Why Your Butler Needs a Babysitter
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December 2024
Collinear-Guard: Where Customization Meets Precision for Fine-Grained Evaluation and Feedback
Overview
Dec 9, 2024
•
Prapti Trivedi
,
Aditya Gulati
, and
Nazneen Rajani
6
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Collinear-Guard: Where Customization Meets Precision for Fine-Grained Evaluation and Feedback
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2
CollinearGuard Nano: A High-Performance, Holistically-Evaluated, Lightning-Fast Moderation Judge
Revolutionizing Safety: Ultra-Low Latency, High-Throughput Violation and False Refusal Detection Like Never Before!
Dec 3, 2024
•
Aditya Gulati
,
Prapti Trivedi
, and
Nazneen Rajani
21
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CollinearGuard Nano: A High-Performance, Holistically-Evaluated, Lightning-Fast Moderation Judge
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6
November 2024
Veritas Reliability Judge: A Cookbook to Benchmark AI Judges on Financial Data
When you're working with high-stakes data, like financial information, ensuring the accuracy of AI-generated responses is crucial.
Nov 18, 2024
•
Meghana A Rajeev
3
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Veritas Reliability Judge: A Cookbook to Benchmark AI Judges on Financial Data
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October 2024
Why AI Safety is existentially important, not optional
From virtual assistants that streamline our tasks to intelligent systems that drive innovation, AI's potential seems boundless.
Oct 24, 2024
•
Jahnavi Jambholkar
,
Nazneen Rajani
,
Meghana A Rajeev
,
Tanveesh Chaudhery
, and
Rajkumar Ramamurthy
1
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Why AI Safety is existentially important, not optional
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Introducing VERITAS: A Unified Approach to Reliability Evaluation
Veritas is a suite of Reliability Judges for Batch and Real-time use cases
Oct 24, 2024
•
Rajkumar Ramamurthy
,
Meghana A Rajeev
,
Nazneen Rajani
, and
Oliver Molenschot
1
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Introducing VERITAS: A Unified Approach to Reliability Evaluation
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A Guide to Creating Seed Conversational Data with Collinear
High-quality seed data can overcome many of the post-training challenges
Oct 19, 2024
•
Jahnavi Jambholkar
,
Nazneen Rajani
, and
Tanveesh Chaudhery
3
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A Guide to Creating Seed Conversational Data with Collinear
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Think Before You Score: Self-Rationalizing Evaluators are State-of-the-Art for Fine-grained Evaluation
Finetuning on Rationales improves Judge Rationale and Score
Oct 10, 2024
•
Prapti Trivedi
,
Aditya Gulati
,
Oliver Molenschot
,
Meghana A Rajeev
, and
Jahnavi Jambholkar
9
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Think Before You Score: Self-Rationalizing Evaluators are State-of-the-Art for Fine-grained Evaluation
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Collinear Flex Judge is Better Aligned than Few-shot Prompted GPT-4o
Accelerate Time to Production with Bespoke Quality Judge
Oct 5, 2024
•
Nazneen Rajani
,
Jahnavi Jambholkar
, and
Tanveesh Chaudhery
5
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Collinear Flex Judge is Better Aligned than Few-shot Prompted GPT-4o
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