To prevent their search results from being overrun with low-quality content, Google has been examining possible solutions to the problems caused by the anticipated explosion of AI content.
AI Content Assistants have become more popular after the creation of GPT-3. After the release of ChatGPT, content assistants have become a hot topic in the market, raising everybody’s curiosity about their abilities, reach, and utility. In some cases, this industry interest has also increased investment in AI.
According to Techjury report on 101 Artificial Intelligence Statistics [Updated for 2023], AI will increase the global Economy by $15.7 trillion by 2030. The adoption rate of AI worldwide increased gradually and is now 35%, up four points from 2021.
Top 4 AI Content Assistants in 2023
ChatSonic Writesonic, an AI content assistant, is trained by ‘Google Search’ to chat with users on existing events & trending topics in real-time. This helps generate digital AI artwork for social media platforms and digital campaigns.
ChatSonic enables personalized experience for customers to customize and use to write high-quality content of different types in personality Avatars. Users can add the ChatSonic ChatGPT chrome extension and get content recommendations from anywhere.
With ChatSonic API access, users can connect with their existing applications via ChatSonic for a seamless user experience.
This is an excellent alternative to ChatGPT which helps copywriters with content writing by offering idea generation, copy rephrasing & brainstorming support. With this AI content Assistant, writers can stop dreading content creation as it provides automated assistance.
Limitations of ChatSonic
Inaccurate or irrelevant answers may result from ChatSonic AI’s inability to comprehend the context of a customer’s request or query. Customers may become frustrated as a result, which will lower their satisfaction.
The caliber of the training data used to create the AI model is critical to ChatSonic AI’s success. Incorrect responses or bias in the AI’s customer encounters can result from insufficient training data.
GPT software, on which ChatSonic AI depends, may be constrained regarding its capacity to produce logical and pertinent answers. Customers may experience talks as disjointed or useless as a result of this.
Hubspot CRM platform launched an AI-based content assistant named ChatSpot.ai to assist users with content creation efficiently and saves time with quick generation; in the meantime, it also enhances the relationship with their audiences.
ChatSpot.ai is based on conversation intelligence, data quality tooling, data enrichment, predictive AI, content optimization, etc. It works on Natural Language Query and amalgamates ChatGPT, HubSpot CRM, Dolly 2, Google Docs, and Keyword Research to offer relevant results to the users.
It can suggest blog titles related to a product or service, then generate a complete blog post outline for that title and streamline content marketing workflows into one place, saving teams time and energy.
ChatSpot.ai helps HubSpot customers complete various tasks using a natural language chat-based user experience. The tool allows users to Add contacts and companies to the HubSpot CRM; Create custom reports related to marketing, sales, and customer service; Draft professional, effective sales emails personalized to the recipient.
Limitation of ChatSpot.ai
ChatSpot is limited data available on the HubSpot CRM platform. With a single button, it can access all the analytics data inside HubSpot around website visitors, conversions, leads, and customers.
This raises a concern regarding data privacy. Are users’ data secure? Another thing about it is that it can ideate the content, but it needs changes, so writers are required. But the user can modify the prompt.
Open AI – ChatGPT
It is a long-form Q & powered by artificial intelligence specialized in answering complicated queries conversationally. This has been compiled as a revolutionary technology, built to learn human intent when they have questions.
Many users are in astonishment at its capacity to deliver responses of human quality, which gives rise to the idea that it might ultimately have the ability to change how people interact with computers and alter how content is acquired.
ChatGPT can respond to follow-up inquiries, acknowledge mistakes, refute unfounded assumptions, and reject unnecessary requests; credit goes to the dialogue structure. OpenAI used Reinforcement Learning from Human Feedback (RLHF) model for ChatGPT training.
Limitations of ChatGPT
ChatGPT is sensitive to changes in the input syntax or repeatedly trying the same prompt. ChatGPT occasionally produces responses that seem correct but are untrue or ridiculous. The need for a source of truth during RL instruction makes it challenging to solve this issue.
Because the ideal response relies more on what the model knows than what the human demonstrator knows, it forces the model to be more cautious, which causes it to degrade the questionnaire that it can answer accurately. This results in the model being misled during supervised training.
Emmanuel Walckenaer, CEO at Yseop says-
“We consider both large language models to be a fascinating foundational technology that can be helpful in apps that call for a natural language interface. This technology is still in its early stage with many limitations, including accuracy, data privacy, and explainability. As a generative AI company that provides content automation for regulated industries, Yseop plans to add this technology to our toolkit, put in the proper guardrails to manage it, and use it appropriately to meet the content automation needs of our customers.”
Google’s newly launched AI content assistant seeks to integrate information with big language models’ power, intelligence & creativity. It claims to extract data from the web and avail new content with high-quality responses. Bard AI is used to simplify complicated topics.
Google has launched this one with their LaMDA lightweight model version that consumes less computing power and enables users to give more feedback. Bard comprises multi-model communication capabilities incorporated with Google services and natural language processing methods.
The real-time interaction of Google Bard makes it a more versatile tool for companies and users to communicate with customers in multiple ways. The NLP methods make it a highly effective tool in automating customer services.
Limitations of Bard
Currently, only a few coders and companies have access to Bard. This implies that only some who wish to use it will be able to. Bard can be tailored to meet the requirements of various businesses, but its customization options are presently constrained. Privacy and data security issues exist when using Bard, as with any for-profit business. Companies and people who wish to use Bard should recognize and address these worries.
How these innovations will alter daily marketing activities is a significant issue that needs to be addressed. The announcement of Grammarly’s new generative AI tool, scheduled to release this spring, provides a potential hint.
Millions of workers already use Grammarly to help them create content. They already incorporate the generative AI transformation into their daily operations. They may be more willing to trust an AI tool to edit an email than ChatGPT newbies, who may naturally want to carefully review the content their bots have produced before sending.