Abeyon Insights

Create Specific Task LLMs – Part 1 – Prompt Engineering to Fine Tuning

February 23, 2024/in AI, Deep Learning, Machine Learning, NLP, Text Analysis /by Mallesh Murugesan

Introduction In the world of artificial intelligence (AI) and machine learning, Large Language Models (LLMs) like GPT-3 have fundamentally transformed our approach to handling vast quantities of data and knowledge. However, when working on domain specific AI tasks such as Classification or Named Entity Recognition (NER), the need for specialized LLMs becomes apparent. Here we […]

Creating an Enterprise Knowledge Search using Large Language Models (LLMs)

May 9, 2023/in AI, Deep Learning, Machine Learning, NLP, Text Analysis /by Mallesh Murugesan

In today’s environment, enterprises, federal agencies, and departments face challenges in managing vast amounts of internal data and information. Traditional keyword searches or navigation through folder systems are no longer efficient in meeting the demands of modern-day information retrieval. A superior, more robust search system provides advantages such as providing visibility into the most relevant […]

Intelligent Process Automation – Why is it important?

April 7, 2022/in AI, Deep Learning, Machine Learning, NLP, Text Analysis /by Mallesh Murugesan

Intelligent Process Automation is the combination of different technologies to automate more complete, end-to-end business processes Government agencies and enterprises have been performing business process improvements for the past several years to improve efficiency within their internal processes, reduce waste in internal workflows and streamline business functions. This has led to human workers performing tasks […]

With document democracy, we go beyond traditional Topic Modeling

May 12, 2021/in AI, Deep Learning, Machine Learning, NLP, Text Analysis /by Mallesh Murugesan

Bring clarity to unstructured data using Natural Language Processing (NLP) – Part 2

November 5, 2020/in AI, Deep Learning, Machine Learning, NLP, Text Analysis /by Mallesh Murugesan

Natural language processing (NLP) is a branch of artificial intelligence that helps computers understand, interpret and manipulate human language, in particular how to program computers to process and analyze large amounts of natural language data. This is series 2 of the introduction to key capabilities of NLP technologies. Here is the link to Series 1 of this […]

measure an AI models performance using F1 score

How to measure an AI models performance – F1 score explained

November 1, 2019/in AI, Deep Learning, Machine Learning, NLP, Text Analysis /by Mallesh Murugesan

Organizations often ask us, “How well is the AI model is doing?” Or “How do I measure its performance?”, we often respond with “Performance of the AI model is based on what the F1 score of the model is” and we will get a puzzled look on everyones face or asking “what is an F1 […]

Bring clarity to unstructured data using Natural Language Processing (NLP) – Part 1

September 18, 2019/in AI, Deep Learning, Machine Learning, NLP, Text Analysis /by Mallesh Murugesan

Natural language processing (NLP) is a branch of artificial intelligence that helps computers understand, interpret and manipulate human language, in particular how to program computers to process and analyze large amounts of natural language data. In my previous articles, I have addressed some specific topics on NLP like Text Classification, Natural Language Search, etc. Here […]

Text Classification: Binary to Multi-label Multi-class classification

August 8, 2019/in AI, Deep Learning, Machine Learning /by Mallesh Murugesan

Unstructured data in the form of text is everywhere: emails, web pages, social media, survey responses, domain data and more. While textual data is very enriching, it is very complex to gain insights easily and classifying text manually can be hard and time-consuming. For businesses to make intelligent data-driven decisions, understanding the insights in the text […]

Transfer Learning

June 13, 2019/in AI, Deep Learning, Machine Learning /by Mallesh Murugesan

Transfer learning is a machine learning method where a model developed for a task is reused as the starting point for a model on a second task. In transfer learning, we leverage prior knowledge from one domain into a different domain. The way transfer learning is done is by deleting the last output layer and […]

Knowledge Integration in AI

May 23, 2019/in AI, Deep Learning, Machine Learning /by Mallesh Murugesan

So let’s think about how humans learn, we humans are very good at continuously enriching and refining our knowledge and skills by seamlessly combining existing knowledge with new experiences. We exhibit a wide spectrum of learning abilities in various fields. We can be lawyers during the day and go play tennis or go for a […]

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Create Specific Task LLMs – Part 1 – Prompt Engineering to Fine Tuning

Creating an Enterprise Knowledge Search using Large Language Models (LLMs)

Intelligent Process Automation – Why is it important?

With document democracy, we go beyond traditional Topic Modeling

Bring clarity to unstructured data using Natural Language Processing (NLP) – Part 2

How to measure an AI models performance – F1 score explained

Bring clarity to unstructured data using Natural Language Processing (NLP) – Part 1

Text Classification: Binary to Multi-label Multi-class classification

Transfer Learning

Knowledge Integration in AI

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