Jacob Devlin News Today

Google Bard has become Google Gemini, and the generative AI has some new tricks to go with the rebranding. Heres how to access it, whether or not you should pay for Gemini Advanced, and whether or no

A deep dive into Transformer a neural network architecture that was introduced in the famous paper “attention is all you need” in 2017, its applications, impacts, challenges and future directions

Announcing our nominees for the VB Transform AI Innovation awards multiple generative AI categories.

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I trained a BERT model (Devlin et al, 2019) from scratch on my desktop PC (which has a Nvidia 3060 Ti 8GB GPU). The model architecture, tokenizer, and trainer all came from Hugging Face libraries, and my contribution was mainly setting up the code, setting up the data (~20GB uncompressed text), and leaving my computer running. (And making sure it was working correctly, with good GPU utilization.)

The enormous expense of developing such a cutting-edge technology, ChatGPT, is something that many people might not be aware of. OpenAI's losses doubled to reach a startling $540 million last year, according to recent claims in foreign media. Costs increased as the business created ChatGPT and hired key Google employees., Technology & Science News, Times Now

Besides the costs involved in the actual development and maintenance of Generative AI platforms like ChatGPT, OpenAI expenses are exceptionally high because it paid handsomely to employees it poached from Google, claims a new report.

Where you can access it, how it compares against ChatGPT, and why Bard has garnered so much controversy.

OpenAI CEO Sam Altman has responded to reports suggesting Google used ChatGPT data to train its AI chatbot Bard.

Google is being accused of using ChatGPT's data to train Bard, it's generative AI. But is that really the case? Here's what Google said: