Difference Between Google’s Bert and Microsoft Chat GPT3

Difference Between Google’s Bert and Microsoft Chat GPT3

Microsoft’s Chatgpt is expanding fast in area. Google, a professional search engine provider, is therefore making serious preparations to compete with it. The corporation worries that chatgpt could endanger its search engine business.

The Microsoft language architecture for Chhatgpt has become extremely popular all around the world. The biggest search engine firm in the world, Google, has decided to get ready after identifying the threat. This year, the corporation will reportedly unveil more than 20 AI-related initiatives, according to reports. A conversation GPT with artificial intelligence (AI) is thought to be a threat to Google’s search engine business. Sundar Pichai, CEO of Google, is thus making full preparations to advance in this industry.

This year, Google will introduce a few items as well as a smart chatbot that incorporates artificial intelligence. At least 20 AI-based goods will reportedly be displayed by the corporation, changing how customers access the internet. Google’s search engine can also be used in conjunction with the upcoming chatbot. This will enable the chatbot to respond to any query just like a human. This year, Google will highlight a few items as well as a smart chatbot that uses artificial intelligence. At least 20 AI-based goods will reportedly be displayed by the corporation, changing how customers access the internet. Google’s search engine can also be used in conjunction with the upcoming chatbot. This will enable the chatbot to respond to any query just like a human

Different Between Microsoft and Google’s AI Strategy

Google and Microsoft both offer language models trained by AI, but there are lots of differences between them.

Google’s language model is called “Bert” and was released in 2018. It is trained on a large collection of texts from the Internet and is well-tuned for various NLP tasks such as sentiment analysis, question answering, and text classification. Bert is part of Google’s AI platform and is available through cloud-based services such as Google Cloud AI.

On the other hand, Microsoft offers a language model called “Microsoft GPT-3″ or “OpenAI GPT-3″. This model was developed by OpenAI and released in 2020. It is one of the largest language models ever trained on a massive text collection from the Internet. Microsoft also provides access to GPT-3 through its Azure platform for use in various NLP applications.

In terms of performance, both models are considered very accurate and have been shown to outperform previous language models on a variety of NLP tasks. However, GPT-3 has received much attention by the users in the AI ​​community due to its size and ability to perform a wide range of tasks, including writing consistent, human-like text.

In terms of ease of use, both Google’s Bert and Microsoft’s GPT-3 are available as cloud-based services, allowing developers to integrate them into their applications. Google offers pre-trained models that can be fine-tuned for specific tasks. On the other hand, Microsoft provides access to OpenAI GPT-3, which can be fine-tuned for specific tasks.

As for pricing, both Google and Microsoft charge for access to their language models through their cloud platforms. Google’s pricing is based on the amount of computing resources used, while Microsoft’s pricing is based on the number of API calls.

As a result, both Google’s Bert model and  Microsoft chat GPT-3 model are very accurate and advanced language models that can be used on cloud platforms. Which one you choose depends heavily on the specific needs of your particular project and the resources available to support it. Both models have unique features and capabilities

Key Different Between Google Bert Model and Microsoft Chat GPT-3 Model

BERT (Bidirectional Encoder Representations of Transformers) is a pre-trained deep learning language model developed by Google Research that can be fine-tuned for specific NLP tasks such as question answering and sentiment analysis. Because BERT is trained on large sets of textual data, it can create context-aware representations of words in sentences.

GPT-3 (Generative Pretrained Transformer-3) is a language generation model developed by OpenAI. It is one of the largest language models with over 175 billion parameters and has been trained on a wide variety of Internet texts. GPT-3 can do things like generate human-like text, perform language translation, summarize text, and answer questions. It has shown significant results in language tasks that demonstrate a high level of understanding of language and natural context.