TAMING THE AI BEAST Few months ago, I wrote a very brief post on LinkedIn stating that AI is inevitable but that it is going to be a BEAST that we must tame! I propose the following 5 steps as a starting point for taming the beast of AI! 1. acknowledge that AI has both negative and positive dimensions. The negative ones are a terrifying beast and will become more powerful in the future to a point where it will be an existential threat to all humanity. It means that we need to use anti-AI tools and material that will negate or neutralize the dominance of the current AI tools. We must fight fire with fire and adopt the old approach of "to catch a thief ".

CryptoGPT recently rolled out AI assistant "Alex" and is developing its ZK rollup layer 2 blockchain and a data-to-AI engine, which collects, encrypts and transfers data for commercial applications. Zero-knowledge (ZK) layer 2 blockchain CryptoGPT has cashed in on the recent surge in interest around artificial intelligence (AI) to raise $10 million in funding. The Series A round, which was led by market maker DWF Labs – which has emerged as one of the most active investors during the crypto bear market – gave the AI-focused blockchain a $250 million valuation, according to a statement. CryptoGPT recently rolled out Web3-focused AI assistant "Alex" and is developing its ZK rollup layer 2 blockchain and a data-to-AI engine, which collects, encrypts and transfers data for commercial applications. "Instead of applying ZK technology to payments, CryptoGPT integrates it for private data transfers," CryptoGPT said in the statement on Monday. The proceeds of the new funding will be used to grow its developer team globally and build on its regional presence in the Asian markets, said Dejan Erja, co-founder and chief technology officer of the AI-focused blockchain.

Bloomberg's announcement that it created a ChatGPT-like large language model focused on finance created a bit of a stir. "BloombergGPT AI may be the harbinger of the next wave of corporate AI," Ethan Mollick, a professor at Wharton, tweeted. He noted that building models is all about the training data and Bloomberg enjoyed the advantage of including proprietary data about finance as well as general information scraped from the Web. Reading the Bloomberg research paper provides some insight into the strange terrain where we find ourselves. Among other things, Bloomberg used a data set called "Enron Emails."

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Deep learning is a subset of machine learning that is based on artificial neural networks. It has revolutionized the field of artificial intelligence and is being used in a variety of applications, including image and speech recognition, natural language processing, and autonomous vehicles. In this blog post, we will provide an overview of what deep learning is, how it works, and its applications.

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The tool has quickly garnered a lot of attention thanks to its detailed responses across various domains of knowledge. It has also been subject to controversy, and it's not hard to see why. For example, ChatGPT is capable of composing high school and college-level essays that are indistinguishable from those written by humans. Since this is one of the most disruptive AI tools we have seen to date, I wanted to provide an explanation of the technology behind ChatGPT. And what better way to do this, and showcase the tool's incredible capabilities, than by allowing it to explain itself.

Artificial intelligence has revolutionized the way we work and live, with countless tools and platforms available to help us work smarter and faster. However, with so many options to choose from, it can be overwhelming to find the right AI tool for your needs. That's why we've compiled a list of the best AI tools in each category based on their monthly visitors, which gives us a good idea of which ones are the most popular and widely used. But before we dive into our list, we want to emphasize that this video is for informational purposes only. We're not giving advice on which tool you should buy, and it's important to do your own research and consider your specific needs before making any purchases.

Check out our latest tutorial on how to build a speech-to-text system using ChatGPT and Python! Learn how to leverage the power of natural language processing and deep learning to convert audio to text with amazing accuracy. Please let me know your valuable feedback on the video by means of comments. Please like and share the video. Do not forget to subscribe to my channel for more educational videos.

How I use ChatGPT in my data science work (4-5 hours per week time savings): I told myself I wouldn't make content around this, but here I am. I feel like I'm selling out. On the other hand, I've found ChatGPT useful and I feel like it is important to share how this tool has benefited me in my work. I usually have to look up code for this or sift through docs to create exact specifications I'm looking for. With ChatGPT, I can put into words what I'm trying to do and it gives me pretty decent examples to work with.