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Large Language Model (LLM)

Skellam AI is expert at integrating foundation models such as large-language models (LLMs).  LLMs are designed to process and understand human language at a massive scale for greater enterprise impact.

The defining characteristic of LLMs is their sheer size, often comprising billions or even trillions of parameters. Examples of such models include OpenAI’s GPT-3 (Generative Pre-trained Transformer 3) and similar architectures. The immense number of parameters enables these models to capture intricate patterns, semantic relationships, and contextual nuances present in diverse language data.

These models are useful for a variety of applications due to their capabilities in understanding and generating human-like text. 

Lexcore – Skellam AI’s text analytics solution with LLM integration capabilities include:

  • Built-in integration with Open AI
  • LLM Data Sequence Flow
  • Auto/Emerging Topic Detection
  • Sentiment Analysis LLM
  • Q/A Integration
  • Native Language Layer to SQL
  • Anomaly Detection and Alerting

By integrating large language models into your data pipeline, you can improve your business operations, streamline decision-making processes, and enhance customer experiences. With the ability to process vast amounts of data, these models can provide valuable insights that were once impossible to uncover through traditional data analysis methods.

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Resources

Next-Gen Publishing: How AI Text Analysis is Shaping Content Creation and Curation

Next-Gen Publishing: How AI Text Analysis…

The evolution of publishing is deeply intertwined with technological advancements, and the latest chapter in this ongoing saga is dominated…

Bridging the Gap: Text Analytics for Cross-Cultural Communication in Global Businesses

Bridging the Gap: Text Analytics for…

In the vast, interconnected web of global businesses, effective communication stands as the cornerstone of success. The advent of digital…

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