Generative AI provides observable advantages for programmers. It facilitates the authoring and debugging of code, which makes our hectic lives a little bit easier. The question of which tool is better for me to utilise, however, is raised by rival products like ChatGPT and Bard.
We pit these tools against one another in a final competition to see which is the most feature-rich tool available right now for programming needs.
ChatGPT and Bard: What’s the difference?
The Large Language Models (LLMs) that underlie ChatGPT and Bard are the main distinction between the two. Compared to Bard, ChatGPT employs the Language Model for Dialogue Applications (LaMBDA), while GPT-4 is used by GPT-4 in ChatGPT. Furthermore, Google created Bard, whilst OpenAI created ChatGPT.
Both have remarkably similar qualities. Uses for ChatGPT among programmers include:
Both models can provide recommendations for the appropriate parameters and syntax for functions and other code constructions.
It can finish writing code you’ve already begun.
You can find bugs and issues in your code via debugging.
The code it generates or the code you input can both be explained.
In addition to Common Crawl, Wikipedia, books, articles, documents, and content that was scraped from the internet, both models were trained on a sizable dataset. In contrast to ChatGPT, which was mostly trained on broad content that was scraped, Bard was educated on web-based interactions and dialogues.
Both of the products are currently being developed, albeit Bard is a little more so than ChatGPT. Here’s how they function when evaluated against one another, though, to really demonstrate how these distinctions matter in practise.
Third-party plugins & UI extensions

Conclusion: ChatGPT wins out, but both tools are useful!
Overall, ChatGPT prevails (4 to 3), but in actual use, you should have both of these technologies in your toolbox. The following are some essential considerations for developers using these tools:
Since ChatGPT’s base version is an LLM only, the data may not be current. Bard makes use of both search results and LLM. As soon as ChatGPT incorporates “Search with Bing” into its free service, this will alter.
Generally speaking, ChatGPT produces superior documentation.
Most of the time, Bard develops more detailed explanations of code.
Bard caps the length of the chat, while ChatGPT simply restricts requests over time (GPT-4)
Keep in mind that it’s still crucial to comprehend the code you’re dealing with even if you’re utilising these tools. The results are never guaranteed to be accurate, so don’t rely too heavily on them. Until then, happy programming!