Artificial intelligence (AI) has been advancing at an unprecedented pace, and its development and deployment have sparked concerns among prominent AI experts, tech entrepreneurs, and scientists. A letter written by the Future of Life Institute, an organization focused on technological risks to humanity, calls for a pause on the development and testing of AI technologies more powerful than OpenAI's language model GPT-4 so that the risks it may pose can be properly studied. The letter has been signed by hundreds of individuals, including those working on advanced AI models. The letter warns that language models like GPT-4 can already compete with humans at a growing range of tasks and could be used to automate jobs and spread misinformation. Furthermore, the letter raises the distant prospect of AI systems that could replace humans and remake civilization. Therefore, the pause should be "public and verifiable" and should involve all those working on advanced AI models like GPT-4.

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SlateStone Wealth chief market strategist Kenny Polcari discusses when the Fed could cut rates and if it's too early to invest in A.I. on'Varney & Co.' Bloomberg, a leading financial data services provider, this week unveiled a new artificial intelligence (AI) model that aims to revolutionize the finance industry in the same way programs like OpenAI's ChatGPT are set to radically transform written communications. A research paper released by the company Thursday details the development of BloombergGPT, a new large language model (LLM) that has been trained on a massive amount of financial data to assist with a variety of natural language processing (NLP) tasks within the financial industry. In plain English, Blooomberg GPT is an advanced machine learning software that can rapidly analyze financial data to assist with making risk assessments, judge financial sentiment, and potentially even automate accounting and auditing tasks and more. The complexity and unique terminology of the financial industry requires an AI that is specifically trained with financial datasets, Bloomberg said in a release. BloombergGPT will have access to the vast quantity of data available on the Bloomberg Terminal -- a computer software system used by investors and financial professionals to access real-time market data, breaking news, financial research and powerful analytics.

Originally published on Towards AI. In this article, I go through the basics of finetuning large language models like BLOOM on a legal text dataset. You can try it on HuggingFace Spaces! I am currently on a quest to learn the ropes of working with large language models (LLMs). This includes learning how to finetune pre-trained models such as OPT and BLOOM.

Originally published on Towards AI. I recently started an AI-focused educational newsletter, that already has over 150,000 subscribers. TheSequence is a no-BS (meaning no hype, no news etc) ML-oriented newsletter that takes 5 minutes to read. The goal is to keep you up to date with machine learning projects, research papers and concepts. A few days ago, the data science community engaged in an intense debate when AI legend and Chief AI Scientist at Meta, Yann LeCun made some… Read the full blog for free on Medium.

Originally published on Towards AI. This is a follow-up to my part 1 on ChatGPT. GPT-4 has burst onto the scene! Open AI officially released the larger and more powerful successor to GPT-3 with many improvements, including the ability to process images, draft a lawsuit, and handle up to a 25,000-word input.¹ During testing, Open AI reported that it was smart enough to find a solution for solving a CAPTCHA by hiring a human on taskrabbit to do it for GPT-4.²

Originally published on Towards AI. ChatGPT is an artificial intelligence language model that has rapidly become a key tool for many individuals and businesses. I was initially skeptical of how it could assist me in my daily tasks (both personally and professionally), but my perspective changed drastically after exploring its capabilities. ChatGPT has completely transformed the way I approach problem-solving, leading me to view it as an extension of test-driven development (TDD). In this article, I'll share my experience using ChatGPT to enhance my productivity, from writing Python code to cooking a Valentine's Day meal for my spouse.

A New York Rabbi recently went viral for delivering a sermon written by ChatGPT to his congregation, causing many to question the humanity in such an act. Think of ChatGPT as a far more sophisticated version of Google. It's an AI language model designed to generate human-like responses to various questions, from recipes to historical context to computer code and much more in mere seconds. CLICK TO GET KURT'S CYBERGUY NEWSLETTER WITH QUICK TIPS, TECH REVIEWS, SECURITY ALERTS AND EASY HOW-TO'S TO MAKE YOU SMARTER It's surpassed the million-user marker in about a week of its introduction. For context, it took companies like Facebook several months to achieve the same success.

Ever since being popularized by ChatGPT in late 2022, large language models (LLM) have attracted intense interest from the research and industry communities. While general chatbot is an obvious application of large language models, enterprises are thinking about how to integrate large language models into their business workflows to leverage this latest AI advance. A fundamental premise of business specific integration though, is to be able to adapt the large language models to the bespoke business domain, since LLMs are usually trained on open internet information, which contains too much noise and is not always closely relevant to the specific business context. While there are many good blog posts out there already detailing large language models themselves, there seems to be a lack of solid introduction on how to leverage LLMs. In this blog post, we examine a few canonical ways of adapting LLMs to domain specific tasks from recent research literature.

Panic about new technologies is nothing new, and artificial intelligence is no exception. This week more than 1,800 people have signed an open letter calling for at least a six-month pause on training AI systems that are'more powerful than GPT-4′ – the latest chatbot released by Open AI. The signatories – who include the likes of Elon Musk, Andrew Yang and Steve Wozniak – want governments to impose a moratorium if AI labs don't stop their research voluntarily. Meanwhile here in the UK, the Government recently released its own AI regulation strategy. The letter cites a number of concerns about AI: 1) disseminating dis/misinformation 2) ushering in a period of widespread unemployment, and 3) the creation of nefarious robot overlords.