NLP
In-depth Guide to Knowledge Graph: Benefits, Use Cases & Examples
The rapid growth of data in today’s digital world has made data governance a challenging task. According to McKinsey, even the global leading firms can waste between 5-10% of employee time on non-value-added tasks due to poor data governance. This can rise up to %29 in average across enterprises.
LLM Fine Tuning Guide for Enterprises in 2024
The widespread adoption of large language models (LLMs) has improved our ability to process human language (Figure 1). However, their generic training often results in suboptimal performance for specific tasks. To overcome this limitation, fine-tuning methods are employed to tailor LLMs to the unique requirements of different application areas.
The Future of Large Language Models in 2024
Interest in large language models (LLMs) is on the rise especially after the release of ChatGPT in November 2022 (see Figure 1). In recent years, LLMs have transformed various industries, generating human-like text and addressing a wide range of applications.
Top Large Language Model Examples in 2024
Large language models (LLMs) have taken over the internet. In January 2023, OpenAI’s ChatGPT had 100 million monthly active users, setting the record for the fastest-growing user base ever.
Large Language Model Training in 2024
Large language models (LLMs) took the internet by storm at the end of 2022 as ChatGPT from OpenAI reached 1 million users just 5 days after its launch. ChatGPT’s capabilities and wide applications can be accredited to the 175 billion parameters the GPT-3 language model has.
NLU vs NLP in 2024: Main Differences & Use Cases Comparison
Have you ever wondered how Alexa, ChatGPT, or a customer care chatbot can understand your spoken or written comment and respond appropriately? NLP and NLU, two subfields of artificial intelligence (AI), facilitate understanding and responding to human language. Both of these technologies are beneficial to companies in various industries.
Top 5 Expectations Regarding the Future of NLP in 2024
A subfield of artificial intelligence (AI) known as “natural language processing,” or simply “NLP,” enables machines to comprehend, decode, and interpret human language. NLP models can be trained to understand data in text format (such as PDF) or audio format (such as voice commands). The use of NLP technology is widespread among numerous industries already.
5 Ways NLP & RPA Enable Intelligent Automation in 2024
Due to their wide range of use cases, robotic process automation (RPA) and natural language processing (NLP) are widely adopted in enterprises: Leading RPA vendors have started to integrate AI capabilities into their automation tools to create intelligent bots that allow end-to-end process automation with decision-making capabilities.
Improve Your NLP Solutions with Data Augmentation in 2024
Introduction Natural Language Processing (NLP) offers a plethora of use cases that your business can benefit. As a cutting-edge research field, methods to improve NLP models and use cases are constantly being developed.
Intent Classification in 2024: What it is & How it Works
Customers have more options than ever due to increasing competition and the quality of customer service has become one of the key factors for businesses to stay ahead of the competition. According to studies: AI applications in customer services such as chatbots and personalization help businesses to understand their customers better and improve customer experience.