Amazon launches new AI service to compete Google and ChatGPT

Published on:

  • Google also introduced their own chatbot model to rival OpenAI’s ChatGPT in a bid to keep its users
  • Generative Artificial Intelligence (AI) models such as ChatGPT by OpenAI have taken the tech world by storm
  • Amazon has now entered the tech world by launching its model, the Bedrock AI service

ChatGPT and other generative artificial intelligence models have taken the technology world by storm, threatening to sip into the mainstream. With the unveiling of Bedrock, it’s evident that Amazon, like Big Tech competitors Microsoft and Google, is ready to go all-in.

Bedrock will enable Amazon Web Services (AWS) customers to create generative AI from foundation models (FMs). GPT-4 is one such model, and ChatGPT is a generative AI application developed on top of it.

According to the service’s announcement blog post, Bedrock offers “a serverless experience”. Users may “privately customize FMs with their own data, and easily integrate and deploy them into their applications.”

Amazon also unveiled Titan. This features two new foundational models developed by Amazon Machine Learning, at the same time as Bedrock.

READ: New Open AI plugins will now make ChatGPT access the internet

Titan details are currently limited. With Amazon representatives keeping technical specifics under wraps. However, Amazon Web Services vice president Bratin Saha told reporters that the corporation has been using “a fine-tuned version” of Titan. This is so as to expose search results on its site.

Users will not be limited to Amazon’s in-house FMs. This is because the company also announced Bedrock integration for some of the industry’s most popular models. The models include Jurassic-2, a multi-lingual language learning model (LLM), and Claude, an Anthropic conversational agent built on the company’s “Constitutional AI” foundation.

Amazon Bedrock will also enable on-platform API access to Stability AI’s models. This includes the popular text-to-image generator Stable Diffusion.

Amazon may be a little late to the party, with the launch of GPT-4 now a month in the past. However, Bedrock and Titan could pose a challenge to the incumbent industry leaders due to AWS’s near-ubiquity and ease of use.

Training a generative AI model can be quite expensive. Unfortunately, once a model has been trained on a certain data set, it is “dirty” with that data. This may “hallucinate” information from it in response to unrelated queries.

Bedrock helps customers to avoid this issue by allowing them to use pre-existing FMs. They use them as a backbone for their data. Customers who are already on AWS and those who are bringing their data to the AWS ecosystem can rest assured that their data will stay as secure. This is because it is on Amazon’s cloud and will never be put into training data sets.

ALSO READ: Five tips to get next level prompts from your ChatGPT

According to Amazon, “none of the customer’s data is used to train the underlying models, and since all data is encrypted and does not leave a customer’s Virtual Private Cloud (VPC). Moreover, customers can trust that their data will remain private and confidential.”

Another Chinese internet giant, Baidu, sought to break through with the launch of Ernie, a nod to Google’s Bard, but poor reaction led to a 10% drop in the company’s stock.

As Titan and Bedrock prepare to join the first wave of publicly visible generative AI models, IT companies around the world are preparing to make their debuts. Alibaba, a Chinese technology company, is poised to launch its own AI chatbot, “Tongyi Qianwen,” in the hopes of adding some competition to the Western firms that now dominate the area.


Leave a Reply

Please enter your comment!
Please enter your name here

Nathan Sialah
Nathan Sialah
Nathan Sialah is a seasoned journalist with a diverse background in digital journalism, radio broadcasting, and cryptocurrency trading. With over five years of experience in the field, Nathan has honed his skills in delivering accurate and engaging news content to a wide audience. In addition to his journalistic expertise, Nathan is a dedicated researcher in the Artificial Intelligence industry, keeping abreast of the latest advancements and trends. His multifaceted background allows him to bring a unique perspective to his reporting, covering a wide range of topics with depth and insight.