LaMDA vs Chat GPT-3: What is the difference and which one is better?

 

AI has taken the world by storm. Among the many projects that use AI, Chat GPT was one that came to the mind of many. OpenAI's flagship project has attracted the attention of investors and users alike. You're far from the only tech company using AI for its own projects.

Google is no stranger to pioneering technology, and the tech mogul has his own artificial intelligence chatbot. Google's artificial intelligence bot LaMDA has a lot less lip service than GPT Chat, but it still needs to be mentioned.
How do these two chatbots compare to each other? AI is a burgeoning technology, and the landscape is littered with dozens of new projects using it. Let's take a closer look at these two projects, see how they compare, and review their general usage.

LaMDA vs Chat GPT-3: Side-by-side comparison LaMDA vs Chat GPT-3: What is the difference?

Both AI chatbots are based on similar models. Both use the transformer method to train a model, rather than something like a neural network. Despite these similarities, there are some pretty stark differences between the two AI chatbots.

Use

LaMDA is Google's attempt to develop an AI that can replicate human speech. This was achieved with 137 billion parameters fed into the model, with another 1.56 trillion words, documents, and dialogue examples to train it.

As such, LaMDA stands out for recreating the cadence and creativity of human language. Early adopters have reported that LaMDA's answers are close to the answers they might expect from a particular person. It is not characterized by code generation, but it could very easily be the first point of contact for customer service in the future.

By comparison, Chat GPT-3 easily generates code for developers. Where he falls short is in the authenticity of his answers. Although most of the answers generated by GPT-3 Chat are correct, they lack a human touch.

In addition, the answers to the question seem to be almost composed of pre-generated phrases. GPT-3 chat is not designed as a means of replicating human conversations. rather, it acts as a source of information.

It is characterized by generating responses on a wide range of topics and can be further refined with user input if the received output is inaccurate. This puts it ahead of LaMDA in a way, but its use case seems to be very different from the beginning.

The difference in usage could lead to certain niches being developed for both chatbots in the future. After all, companies are already relying on GPT-3 chat as a means of generating content. One can only imagine what the future holds when it comes to the use of LaMDA in the business landscape.

Prices

The pricing structure of LaMDA is currently unknown, and time will tell whether Google will announce this in the near future. LaMDA is currently being tested via the AI Test Kitchen app. This is available to all testers for free, but availability is extremely limited. You can certainly apply for your own place in the trial program, but approval is not guaranteed.

The price of Chat GPT-3 is a well-known quantity. The most famous product available on OpenAI is the free GPT-3 chat tier, which anyone with an account can easily access. Places, of course, are limited, but the OpenAI product has regularly overtaken the traffic of Microsoft Bing.

For those who are looking for more availability and priority access, a paid subscription is available. Users can pay $ 20 a month and get access to the GPT-4 chat, a much more refined language model that surpasses the capabilities of the GPT-3 chat.

Accuracy and consistency

Every AI model is only as good as the accuracy of its answers. LaMDA is an impressive conversationalist and responds promptly, as you would expect from a particularly funny person. Google has also adjusted the accuracy of Lamda's answers. Each answer must meet a certain standard of safety, quality, and grounding.

This means that no malicious results are generated, but only proven and fact-based answers. This compliance with security gives LaMDA an advantage in terms of overall accuracy, and the wide variety of data provided to it makes it a fairly diverse basis for responding to requests.

That is, it should not be a source of information, but a language model designed to communicate with others in order to provide customer service.

Chat GPT-3 provides a lower overall accuracy. However, this does not mean that the answers you receive are useless. Chat GPT-3 is based on older logs and does not follow the same guidelines as you would expect from its successor.

As such, it can be easily tricked into allowing malicious messages and providing false information. This can now be mitigated by detailed indications. GPT-3 Chat also has trouble providing authoritative answers on specific topics but can be trained to respond appropriately.

LaMDA vs Chat-GPT-3: 6 Facts You Need to Know

• LaMDA was developed with a focus on conversation and accuracy.
• LaMDA adheres to various safety guidelines in order to provide accurate and correct answers.
• LaMDA is capable of creative results and may even be asked to play a role.
• Chat GPT-3 is currently the most popular artificial intelligence utility on the market.
• Chat GPT-3 can generate standard code, summarize text, and much more.
• Chat GPT-3 has been surpassed by the recently released chat GPT-4, but it is still available for free.

LaMDA vs Chat GPT-3: Which one is better? Which one should you choose?

In many ways, AI is the way to go, as everyone can see from these language models. Which one is better really depends on your intended use case. It is safe to say that there is room for both chatbots in the future.
LaMDA is characterized mainly by communication. Being an exceptional conversationalist suggests that LaMDA is gaining greater acceptance in an automated customer service role. This has been widely used for AI, but a more robust and responsive option could lead to its use in multiple industries.
Chat GPT-3 has already been adopted by companies and individuals alike. While the ethical dilemmas surrounding content generation are swirling in the headlines, this has certainly already led to job creation. Where it stumbles is its inability to provide true information, but if Chat GPT-4 gains more strength, this will probably fall by the wayside.
However, one thing is certain: AI will become something that many will rely on in the future. While it could shake up the job landscape, it could easily allow users to automate the more boring aspects of their job and work less.
The LaMDA vs Chat GPT-3 post: What's the difference and which is better? it first appeared in History Computer.