2. Image generation You can use generative AI to create visual content. Generative AI tools like Stable Diffusion and DALL-E use natural language processing (NLP) and computer vision technologies to recognize objects and generate realistic images from text or image inputs. They can also transform ...
Thanks to natural language processing, computer applications can respond to spoken commands and summarize large amounts of text in real-time to interact with humans meaningfully and expressively. How does NLP work? NLP is all around us, even if we don’t necessarily notice it. Virtual assistants...
Sydney Go Sydney has been creating content for over 10 years. She has been a writer, content manager and coordinator, editor, and strategist. At Semrush, she’s a blog editor who makes sure each article is as accurate, optimized, and helpful as possible. ...
Okay, this could be a bit of a stretch, but the reason that LLMs are becoming so popular is because of the wide range of use cases in the real-world. Large language models are used for: Text generation: The ability to generate language or text in response to prompts, for example, ...
How Does Fine-Tuning Work? Step-by-Step Approach to Implement Fine-Tuning Difference Between Fine Tuning and Transfer Learning Benefits of Fine-Tuning Challenges of Fine-Tuning Applications of Fine-Tuning in Deep Learning Case Studies of Fine-Tuning Wrapping Up This article will examine the idea ...
Use our guide to learn what a natural language processing (NLP) chatbot is and how next-generation AI agents are revolutionizing the world of NLP.
Natural Language Generation:This is the opposite of speech-to-text and is how NLP machines can generate speech or text to communicate back. Why Is NLP So Important? Natural Language Processing is a huge and ever-growing field that encompasses many functions. Some of the major uses of NLP are...
NLP Layer The Natural language processing (NLP) layer consists of two systems; Natural Language Understanding (NLU), and Natural Language Generation (NLG). The NLU system analyzes the different aspects of the language. While the NLG system maps the given input in natural language into a useful ...
Natural language understanding (NLU):A subset of NLP, NLU digs deeper to grasp subtler meanings. Dialogue management:The AI decides how to respond based on the meaning it extracts. Natural language generation (NLG):The AI turns its response into human-like speech. Sophisticated conversational bots...
Use case: Generative AI for research and idea generation: In this section, we will explore how Generative AI can be used to assist businesses in researching new ideas and generating new concepts. This can be done through natural language processing and machine learning techniques, which can help...