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Top 7 Examples of ChatGPT Sentiment Analysis
A study estimated that 80% of companies will adapt to solutions that utilize sentiment analysis in 2023. Sentiment analysis is a Natural Language Processing (NLP) method that classifies texts, images, or videos based on the emotional tone as negative, positive, or neutral.
Speech Recognition: Everything You Need to Know
Speech recognition, also known as automatic speech recognition (ASR), enables seamless communication between humans and machines. This technology empowers organizations to transform human speech into written text. Speech recognition technology can revolutionize many business applications, including customer service, healthcare, finance and sales.
The Future of Large Language Models
Interest in large language models (LLMs) is rising since ChatGPT attracted over 200 million monthly visitors in 2024.LLMs along with generative AI have an influence on a variety of areas, including medical imaging analysis and high-resolution weather forecasting.
How to Use ChatGPT for Business: Top 40 Applications
With numerous potential use cases for ChatGPT, businesses may struggle to identify the most valuable applications of the technology and face challenges in meeting their unique needs. To get the most from ChatGPT, businesses need the tool fine-tuned to meet their specific needs and objectives.
Top 12 ChatGPT Survey Research Use Cases & Tips
ChatGPT generated gamified survey question
7 Competitive Intelligence Challenges & Solutions
In the current competitive business environment, maintaining an edge over rivals has become essential for strategic decision-making. Despite its critical importance, most organizations struggle with competitive intelligence. Research shows that 90% of Fortune 500 companies already use Competitive Intelligence, but its perceived effectiveness is low.
LLM Fine-Tuning Guide for Enterprises
Follow the links for the specific solutions to your LLM output challenges. If your LLM: The widespread adoption of large language models (LLMs) has improved our ability to process human language. However, their generic training often results in suboptimal performance for specific tasks.
Generative AI for Sales Use Cases
Unlike traditional AI in sales applications, which typically focuses on data analysis and pattern recognition, generative AI actively contributes to the sales process by creating content, drafting communications, and improving customer engagement. Explore the future of generative AI for sales, including use cases with examples that align with the steps of a typical selling process.
Conversational AI for Sales: Applications & Real-Life Examples
By combining natural language processing, machine learning, and integration with customer data systems, conversational AI tools enable sales teams to handle routine tasks, qualify leads, and engage in personalized conversations with prospects and customers.
Generative AI Legal Use Cases & Examples
Generative AI legal applications are set to significantly impact the legal industry, with a survey showing that 95% of over 1,000 UK lawyers anticipate a noticeable effect. Also, Goldman Sachs economists predict AI could automate 44% of legal work (Figure 1), indicating a potential transformation in legal services and professional roles.