Sparsity refers to the property that allows for the automatic detection of the most relevant features in a set of possible ones for a specific learning task. It enables the deployment of simpler models with reduced computational effort, leading to beneficial regularization effects in machine learning.
we have been ahead of the curve on fine-tuning via PeFT, ReFT, and LoRA for both SLM and LLMs on customer proprietary data.
we're industry experts in rolling out deployments of multi-agent frameworks including Langroid, LangGraph, and AutoGen.
we can provide a fully documented, fully in-house solution with IaC via NixOS, HashiCorp, and K8s with long term support.
we've enabled building highly effective custom recommenders for market analysis and customer satisfaction, driving down acquisition costs and maximizing customer lifetime value.
we can help implement and train on interpretability models for safety, compliance, and efficacy of AI-enabled products.
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