Your Data
Our Curation and Training
Innovate with ease
Modern enterprises are pushing the boundaries of ‘doing more with less’ to drive business outcomes.
This is where AI’s promise of augmenting human capabilities shines. But also where the adage ‘garbage-in, garbage-out’ rings especially true of the AI training process.
Flow into growth
Our curated models provide user value while protecting the enterprise.
yourLLM’s Large Language Model (LLM) Curation Service perfects training data and validates responses, to minimize false, misleading, or off-topic responses.
Relevant, timely, and accurate LLM management
Just as the Expert Systems of the 2000s were backed by human experts, the AI agents of the 2020s require expert training and curation.
Stand up your LLM and keep it up to date
We provide one-time curated training or ongoing LLM curation services to keep an enterprise's AI knowledge accurate and current.
Leverage Gen AI for your enterprise
We provide solutions that leverage algorithmic programming and machine learning (ML) to prevent or refine output, protecting the release of sensitive, inaccurate, or unwanted information.
The Ying and Yang of AI
AI-automated systems have the ability to perform routine tasks, allowing humans to focus on higher value work—like creating new, expert knowledge.
Evolving human-borne expertise can be trained into new models perpetuating an infinity loop of increased human capability.
Conversely, inaccurate responses can spiral out of control and cause harm.
GenAI for your Enterprise
Avoid sub-optimal or inaccurate responses
LLM-AIs with deep subject matter expertise require large amounts of training data with training supervision, cleansing, and analysis.
While training a model with uncurated data will always result in poor chat completions, LLMs are not guaranteed to be accurate even with quality training—they will ‘hallucinate’. Concerns over relevant, timely, and accurate LLM management is the single most cited reason for businesses not using chat completion AI.
Enterprises cannot afford to have garbage in their training data that provides sub-optimal or grossly inaccurate responses. Often, this happens because massive amounts of data are hastily poured into the ‘AI hopper’ without training supervision, cleansing, or analysis.
Innovate with us
GenAI solutions for your enterprise
yourLLM
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