The world has recently witnessed a new technological revolution in the development of chatbots and text generation tools using artificial intelligence. Language processing and conversation programs using artificial intelligence like ChatGPT, Google Bard, Bing Chat, and AI-based image creation programs like Dall-E, have gained popularity worldwide.
Recent advancements in artificial intelligence models and tools have been rapid. However, the technology is still in its infancy and faces challenges such as biased or inaccurate results. Although users do not need much experience to use these tools, being mindful of common mistakes and avoiding them can greatly improve results and maximize the benefits of these tools. The following paragraphs highlight the most important mistakes to avoid when using artificial intelligence chatbots to achieve optimal results.
What are artificial intelligence chatbots?
They are models or tools capable of analyzing and processing vast amounts of data to produce entirely new types of outputs such as text, graphics, images, art, code, voice, videos, and other outputs. These AI tools are based on previous models of machine learning and deep learning models, which have greatly contributed to the development of large language models (LLMs). LLMs contain billions or even trillions of pieces of information and data that artificial intelligence is trained on to produce new results, such as in ChatGPT.
While artificial intelligence chatbots are not entirely new, there were primitive models of chatbots in the 1960s. However, the technology saw a significant breakthrough in 2014 with the development of GAN networks, which are a type of artificial intelligence algorithms capable of creating stunningly realistic images, videos, and audio clips. AI chatbots and generative AI models can contribute to improving various fields by enhancing various processes such as writing code, product development, business process restructuring, and more.
How artificial intelligence chatbots work
Understanding how artificial intelligence chatbots work can help us get satisfactory results when using them. While there are many differences between these tools, most of them share similar operating mechanisms. Taking ChatGPT as an example, this AI-powered chatbot relies on the LaMDA model, which has been trained on massive amounts of data from the internet or other sources to provide interactive responses resembling human responses in text or natural dialogue conversations.
Mistakes to avoid when using artificial intelligence chatbots
Writing claims incorrectly:
The quality and accuracy of results obtained from artificial intelligence chatbots depend on how well these models are trained and the clarity and accuracy of the inputs and claims provided by the user. For example, spelling and grammatical errors in texts entered into ChatGPT can affect the bot’s ability to link words and vocabulary together, affecting the accuracy of the information it provides in response to inquiries. Therefore, writing clear and error-free texts is essential to obtain good responses.
Over-reliance on chatbots:
Privacy and data security concerns when sharing data with artificial intelligence chatbots have raised issues, with companies facing criticism for using applications as a means to collect data that may jeopardize user data privacy and security. It is not advisable to share any sensitive personal information and confidential data with such applications.
Relying on chatbots as a trusted source of information:
The answers provided by AI-powered chatbots rely on the information the bot was fed and trained on, which is limited in most cases by a certain time frame. Therefore, the accuracy and reliability of generative artificial intelligence tools remain questionable, lacking the ability for review, verification, and correction based on more reliable sources.
Over-relying on chatbots for writing reports:
Some AI chatbots available online can write complete articles from scratch, but there are still factors preventing content creators and publishers from relying on these chatbots for writing tasks, such as style awkwardness, weak writing, and the risk of legal implications related to copyright violations.
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Artificial intelligence chatbots, with all their positives and negatives, have become an integral part of our technological reality today. While this article focused on some of the negative aspects of the technology and its underlying weaknesses, it is important to note that AI chatbots possess many strengths and useful applications. Ultimately, the best option is to use the technology responsibly to maximize its benefits, ensuring its continued development to enhance performance and efficiency in the near future.
