AI chatbots have ignited headlines around the world, with Chat GPT-4 being the latest to capture everyone’s attention. Google’s LaMDA has captured its own fair share of attention, thanks in part to the remarkable technology at work when engaging in conversation.
These two AI chatbots are among many incredible projects in development right now, but they certainly show the most promise. With this in mind, how does Chat GPT-4 stack up against LaMDA?
Both of these language models are poised at the top of the heap in terms of the maturity of their respective platforms. Let’s take a closer look at the capabilities of these AI models, how they perform, and where they perform best. If you’re planning on investing any amount of time in one, it’s worth knowing which one is the best.
LaMDA vs Chat GPT-4: Side-by-Side Comparison
|Language model built for delivering authentic conversation, capable of mimicking human coherency and creativity
|Language model which can generate a variety of outputs depending on the prompt given by the end user; can create content, code, or summarize information
|Type of AI Model
|Limited availability through AI Test Kitchen
|Open availability through a monthly subscription
|$20 a month
LaMDA vs Chat GPT-4: What’s the Difference
Both of these AI models are in active development and have been fed a diverse set of inputs. There are some very stark differences in terms of how they perform and their specified use cases.
LaMDA is the flagship AI product from Google and is one of the very best for mimicking communicating with another person. LaMDA will likely excel as the first point of contact for people seeking help with particular issues, like a customer service or support staff liaison.
It is fairly creative, as well, and is capable of providing a set of responses instantly. In practice, it’s like having a fully interactive conversational partner that has been trained with billions of data points and trillions of scenarios.
Chat GPT-4 is the latest revision of Chat GPT from OpenAI. It features a host of refinements and some improvements to the overall model. This improvement in accuracy is reflected by Chat GPT-4’s outputs.
Previously, Chat GPT-3 lacked a certain degree of factual accuracy when prompted on certain subjects. GPT-3 could also be readily tricked into providing malicious outputs.
That is less of a concern for Chat GPT-4, which provides more factually true information while being trained to recognize and avoid malicious outputs. In use, Chat GPT-4 acts as a resource rather than a conversational partner. It can generate content, provide solutions to questions, and produce functional code when prompted.
The overall pricing and availability for Google’s LaMDA are currently greatly restricted. Users can only effectively use LaMDA by requesting access through the AI Test Kitchen App. Thankfully, this is a free process for the time being. With this in mind, access is greatly restricted and is provided to a select few.
If you aren’t a significant figure within the operating space, you likely won’t get access to LaMDA just yet. There is also the fact that LaMDA is likely intended to be a commercial product, which greatly hinders how the general public is going to interact with the AI model.
Getting a hold of Chat GPT-4, by comparison, is a far simpler endeavor. OpenAI made the keen decision last year to open access to Chat GPT-3 to the general public for free. This came with limited availability, but more priority slots were available with the payment of a monthly subscription.
Chat GPT-4 itself isn’t open to the general public as a free product but has completely replaced Chat GPT-3 as the paid tier in the monthly subscription. Chat GPT-3 still acts as a taster of sorts and remains fully functional. However, Chat GPT-4 provides a stellar product for a minuscule monthly cost.
Accuracy and Coherency
Accuracy is paramount to the usability and overall efficacy of an AI model. If an AI model is responding with false information or can pass malicious outputs, it is of little use to those seeking to employ it in a professional capacity.
Google’s LaMDA is unerringly accurate, which can be seen in the limited tests made available to the public. It is a creative voice, of sorts; as much as a transformer-based AI model can be, of course.
The information provided is accurate, and there are safety nets in place to make sure LaMDA itself cannot pass forward any malicious outputs. This placed Google’s AI model well ahead of the previous revision of Chat GPT, despite the differences in their use cases. As it stands, Google has taken special precautions to make sure the outputs are safe, accurate, and coherent.
OpenAI’s Chat GPT-3 had issues with false information and malicious outputs. Chat GPT-4 does away with a fair bit of this and is a wide improvement across the board for users looking to employ the AI model.
OpenAI has spent a fair amount of time further refining the language model at the heart of Chat GPT-4, and, as such, the outputs are far more accurate than GPT-3’s. There have also been special strides taken to make sure the language model can recognize and circumvent malicious prompts.
LaMDA vs Chat GPT-4: 6 Must-Know Facts
- LaMDA was developed for conversation, not informational purposes.
- LaMDA has multiple safety guidelines to provide safe and factual outputs.
- LaMDA is intended as a business product first and foremost.
- Chat GPT-4 is OpenAI’s most advanced AI model to date.
- Chat GPT-4 has multiple safety guidelines to safeguard users from malicious outputs.
- Chat GPT-4 is currently only available as a paid product.
LaMDA vs Chat GPT-4: Which One Is Better? Which Should You Choose?
Utilizing AI models relies on a multitude of different factors. Considerations like the overall use case are paramount to deciding how you are going to employ an AI model. LaMDA isn’t going to be anyone’s first choice for providing content, nor should it be.
Instead, LaMDA will likely see great success replacing the many chatbots that companies have been using for customer service purposes for a number of years. Likewise, you wouldn’t expect to employ Chat GPT-4 in a conversation-heavy context like customer service, but for the purposes of refining information, generating content, and providing boilerplate code, it excels.
Neither one of these AI models are inherently better or worse than the other. Instead, they have wildly different use cases where they respectively can shine. As far as what you should use, the only real option available at the time of this writing is Chat GPT-4.
LaMDA is still in testing and available on a very limited basis. However, if you want to test Chat GPT-4 for yourself, for the going subscription rate, you can use it as much as you want for a variety of purposes.
AI is the wave of the future, and what the general populace is seeing now is specialized models being developed for a variety of purposes. No one can know what the future holds, but AI looks to be here to stay.
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