NLP Accuracy Without Complexity
A key enabler of digital transformation, natural language processing (NLP) applications are used across many industries to improve and accelerate business with sentiment analysis, fraud detection, automated service agents, chatbots, and more. But developing NLP with BERT or smaller models has resulted in a proliferation of models that have limited accuracy, are costly and difficult to maintain, and have limited accountability.
Common Challenges With Small Nlp Models
01
Each task and use case requires a separate model. Over time this has resulted in organizations deploying thousands of individual models across the enterprise, making management complex and expensive.
02
Smaller models are limited in the number of terms they are trained on and in the amount of textual data they can analyze. This limits their accuracy and dramatically reduces their effectiveness.
03
Managing large numbers of models is difficult as the data set each one is trained on may be unknown and many models may not be properly documented. This makes explainability and compliance almost Impossible.
“AI-based NLP is becoming the standard for organizations that want to thrive with digital transformation.”
IDC
Deploy State-of-the-Art Large Language Models
Generate new content
LLMs understand language data with human-level accuracy far beyond traditional NLP models, and can generate new, context relevant language based on questions or prompts.
Unlock the insights in unstructured data
80% of an organization’s data is unstructured in the form of information-rich emails, customer call transcripts, knowledge bases, reports, and more which cannot be interpreted by traditional systems or business workflows. Large language models (LLMs) enable organizations to unlock these trapped insights to improve their business
Unlock the insights in unstructured data
80% of an organization’s data is unstructured in the form of information-rich emails, customer call transcripts, knowledge bases, reports, and more which cannot be interpreted by traditional systems or business workflows. Large language models (LLMs) enable organizations to unlock these trapped insights to improve their business
22x faster results
Dataflow-as-a-Service greatly reduces the complexity of training, updating, and managing these models, streamlines the management and ingestion of enterprise data, and improves organization-wide transparency and auditability
Production ready foundation models
SambaNova Dataflow-as-a-Service™ GPT delivers production-ready, pre-trained GPT foundation models that can be further adapted through unlimited fine-tuning or pre-training within an organization’s own environment to deliver world record accuracy.
Production ready foundation models
SambaNova Dataflow-as-a-Service™ GPT delivers production-ready, pre-trained GPT foundation models that can be further adapted through unlimited fine-tuning or pre-training within an organization’s own environment to deliver world record accuracy.
Dataflow-as-a-Service GPT is the Fastest, Easiest, and
Guaranteed Path to State-of-the-Art foundation models for NLP
Faster Time to Value
Dataflow-as-a-Service greatly reduces the complexity of training, updating, and managing models, streamlines the management and ingestion of enterprise data, and improves organization-wide transparency and auditability.
Unmatched Flexibility
With the flexibility to accurately solve a comprehensive set of language tasks with a single foundation model, LLMs enable organizations to overcome the challenges of traditional NLP: low model accuracy, and the limited transparency and high model maintenance.
Unrivaled Ease of Use
Dataflow-as-a-Service delivers unlimited and seamless inferencing without the need for complex technical infrastructure parallelization and optimization, enabling organizations to scale their AI strategy to scale with the needs of their business.
Learn more about our solution for natural language processing.
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