Google Concern about Open AI ChatGPT

It is unlikely that GPT or other AI chatbots would replace Google Search engine.

While ChatGPT is a powerful language model, it is designed for specific tasks such as generating text, and is not intended to replace general-purpose search engines

Google has a strong presence in the field of natural language processing (NLP), with a number of widely-used tools and resources, such as Google Translate and Google Assistant ,LaMDA.

Information retrieval, and machine learning, to provide relevant and accurate search results. Google's resources and expertise in these areas give it a strong competitive advantage.

Whereas openAI ChatGPT (Generative Pre-trained Transformer) on a diverse set of web pages and rely on Data that engineers provide, with help of it shows impressive results in a variety of language-based tasks, such as text completion, translation and summarization.

ChatGPT Vs LaMDA

LaMDA is a pre-trained language model that is specifically designed for conversational applications such as chatbots and virtual assistants. It has been trained on a large dataset of conversational text and is able to generate a wide variety of responses such as answering questions, casual conversations, jokes, stories, poetry and even song lyrics like ChatGPT

whereas GPT is a general-purpose language model that can be used for a wide range of language-based tasks, such as text completion, translation, and summarization.

GPT is larger model than LaMDA, It has a large number of parameters which makes it more powerful in general tasks but also requires more computational resources like CPUs with a high number of cores ,GPU ,Memory,Storage,Network Bandwidth,Power supply

Overall, while both LaMDA and GPT are powerful language models, LaMDA is specifically designed for dialogue applications and may be better suited for conversational tasks, while GPT is a general-purpose model that can be used for a wide range of language-based tasks.

No one predict or hard to say what future holds google has been actively working to enhance its search engine using the same technology underlies beneath #LaMDA

– Sam Altman CEO of Open AI –

ChatGpt or any other AI bot cannot scrap the internet yes its does a great job at being creative , but it i not factually accurate every time you summon it and if you doing so it is not a good idea says

The computational resources required for running GPT (Generative Pre-trained Transformer) AI models like ChatGPT include:

CPU: Central Processing Unit is the primary computational resource for running AI models. GPT models can be run on standard CPUs, but more powerful CPUs with a high number of cores can help to speed up the computation.

GPU: Graphics Processing Unit can be used to accelerate the computation of AI models, especially when training large models or performing resource-intensive tasks. Most of the deep learning libraries support GPU acceleration.

Memory: The model requires a certain amount of memory to store the model's parameters and intermediate results during computation. The amount of memory required will depend on the size of the model and the specific task it is being used for.

Storage: GPT models require a large amount of storage to store the model's parameters, training data and other information. The amount of storage required will depend on the size of the model and the specific task it is being used for.

Network Bandwidth: When working with large models, it's important to ensure that the machine you are running the model on has sufficient network bandwidth to transfer the model's parameters and training data.

Power supply: Running GPT models require a significant amount of power and generates heat. So, it's important to have a reliable and well-ventilated power supply to ensure that the model can run without interruption.