AI Tools For Text Generation

The basics of text generation through generative AI. Explain the key capabilities of common models and tools for text generation. At the core of the text generation capabilities of generative AI are large language models, or LLMs.

Based on patterns and structures learned during training, LLMs interpret context grammar and semantics to generate coherent and contextually appropriate text. Drawing statistical relationships between words and phrases allows LLMs to adapt creative writing styles for any given context. LLMs are the basis for many text generation models. Two such examples are generative pre-trained transformer or GPT and PaLM. These models have evolved into multimodal models offering multiple capabilities.

Let's learn about the capabilities of these models through two popular tools, ChatGPT and Bard.

• ChatGPT

ChatGPT is based on GPT as the large language model and uses advanced natural language processing, or NLP. While originally ChatGPT only took text prompts as input to generate new contents, with the newer versions, it can take both image and text inputs. ChatGPT offers diverse capabilities for text generation. It is capable of smooth and context based conversations. Let's start a conversation with ChatGPT. To learn a concept, input a prompt that says "I've heard about generative AI and want to learn more." ChatGPT responds with some basic information based on the context. When you take the conversation forward to refine the research by asking, "how can I use generative AI to improve my storytelling skills?" As a prompt, ChatGPT provides the response based on the context and question provided by you. Feel free to experiment and guide the conversation further. ChatGPT will build an informative and interesting conversational flow. It can also help you with varied creative tasks. Let's enter the prompt, "help me to create slides to demonstrate the features of a learning platform." And ChatGPT comes with suggestions about the title, content and visuals for specific slides. Although ChatGPT is most proficient in English, it can understand and respond to several other languages. Let's prompt it to write hello in French and Spanish and it generates the desired output. ChatGPT can also be a useful tool to assist you in learning a new language or any subject for that matter.

• Google Bard

Another popular text generation tool is Google Bard. It is based on Google's advanced language models, PaLM, short for Pathways Language Model. PaLM is a combination of transformer model and Google's Pathways AI platform. Path AI is based on Pathways, which are specialized modules responsible for a particular task. Such as NLP or machine translation. In addition to the massive training data set of text and code, it also pulls information from sources on the internet to respond to prompts. Try experimenting with different prompts to explore the capabilities of Bard. Let's try Bard with a prompt to get a summary of the latest news on a topic such as "provide a summary of the latest news on the war in Ukraine." It provides you with multiple drafts as the response. You can select one of these or regenerate. Next, let's try Bard to generate ideas or solve a problem. Let's prompt it to provide a strategy for a digital marketing campaign for promoting a fashion brand. It provides a step by step approach to the marketing campaign.

• Using ChatGPT and Bard

ChatGPT and Bard offer capabilities for other valuable use cases. For example, they can help you with basic mathematics, statistics and problem solving through these subjects. They are also proficient in financial analysis, investment, research, budgeting and more. Furthermore, ChatGPT and Bard can generate code and perform code related tasks, across various programming languages and frameworks.

• Comparing ChatGPT and Bard

Having interacted with both ChatGPT and Bard, you'll notice that ChatGPT is more effective in generating dynamic responses and maintaining conversational flow. While Bard may be a better choice for researching the latest news or information on a topic as it has access to web sources through Google Search and Google Scholar. It's important to realize that generative AI models, including GPT and PaLM, are evolving, so their capabilities and features may change.

Apart from Chat, GPT and Bard, there are other text generators as well.

• Jasper

Jasper, for example, generates high quality marketing content of any length tailored to a brand's voice.

• Rytr

Rytr is a valuable tool for creating high quality content for blogs, emails, SEO metadata, and ads on social media.

• Copy.ai

Also Copy.ai is great for creating content for social media marketing and product descriptions.

• Writesonic

Another tool, Writesonic, offers specific templates for different types of text, such as articles and blogs, ads and marketing.

• Tools for Specific Uses Cases

There are also tools available for specific use cases. For example, tools like Resoomer can generate a summary of a text by extracting key ideas or concepts. Next, tools like Uclassify are used for classification to assign one or more categories to a snippet of text. Tools for sentiment analysis understand and generate text that reflects the underlying emotions expressed in human language. Examples include Brand24 and Repustate. For multilingual language translation, you can use Language, Weaver and Yandex.

It is important to note that many of the open source generative AI tools collect and review the data shared with them to improve their systems. This is an important consideration for interacting with these tools to avoid sharing any confidential or sensitive information. So, do we have open source privacy-preserving alternatives? The answer is yes. GPT4ALL, for example, can be installed on your machines to run as a privacy aware chatbot without Internet or a graphics processing unit. Further, chatbots like H2O.ai and PrivateGPT are designed to protect user privacy by running on local machines without any Internet connection using the power of LLMs. Not only that, you can customize these tools for use within a specific organization by linking them to your organization's documents and databases.

• Benefits of Text Generators

Generative AI-based text generators offer several benefits. These tools are good learning aids as they provide step by step explanations. They can generate different forms of text quickly, enabling efficiency for writers and creators. These tools enhance creativity and inspire new ideas. By enabling engaging and interactive conversations, they're useful as virtual assistants and chat bots. By automating repetitive writing tasks, they can increase productivity for organizations. With multilingual support, they enable communication and content localization for global audiences.

• Outline

In this Article, you learned that LLMs interpret context, grammar, and semantics to generate coherent and contextually appropriate text. LLMs are the basis for many text generation tools. Two popular text generation tools are OpenAI's, ChatGPT and Google Bard. ChatGPT is based on GPT and Bard is based on PaLM. Both ChatGPT and Bard can generate different kinds of text, translate languages and answer your questions in an interactive and informative way. Some of the other tools we talked about include Jasper, Copy AI, Writesonic. Open source privacy-preserving text generators include GPT4ALL, H20.ai and PrivateGPT.

Taught By : Rav Ahuja, Global Program Director

IBM Skills Network