Began implementing novel AI & ML solutions in the Insurance & Banking industries, helping companies leverage their data to make better decisions...
The day after GPT-3.5 is released, we setup a team of 10 AI Prompt Engineers to become experts with getting these LLMs to produce highly accurate output.
By July 2023, our team had completed over 50 significant, mathematically-sound experiments with LLMs to understand the full range of biases that these models exhibit.
In August 2023, we released a full set of General Purpose Metrics capable of detecting incorrect, incomplete, and and unsafe outputs at a 95% efficacy.
Using our AI Evals, our team created the worlds first system for generating math content for every math concept across 12 years of grade-level schooling, at a 99% efficacy
Through 3 years of R&D, we designed a set of industry-agnostic, research-backed AI guardrail metrics, substantially better than any of the giants in the space, like AWS Bedrock.
We begin experimenting with GenAI for marketing use-cases, and launch a successful pilot for a client, involving GenAI videos, that ended up going viral.
Our team collectively comes together to officially form DeepRails
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Most retail ChatGPT users are average AI handlers, naturally yielding average outputs. Expert handlers know exactly what a prompt should contain in terms of structure & substance, and use a quality evaluation framework like DeepRails to yield the absolute best outputs.
The best part? DeepRails can be integrated into any AI workflow in as little as 2 lines of code!
