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Researchers surprised to find less-educated areas adopting AI writing tools faster

Corporate and diplomatic trends in AI writing According to the researchers, all sectors they analyzed (consumer complaints, corporate communications, job postings) showed similar adoption patterns: sharp increases beginning three to four months after ChatGPT’s November 2022 launch, followed by stabilization in late 2023. Organization age emerged as the strongest predictor of AI writing usage in the job posting analysis. Companies founded after 2015 showed adoption rates up to three times higher than firms established before 1980, reaching 10–15 percent AI-modified text in certain roles compared to below 5 percent for older organizations. Small companies with fewer employees also incorporated AI

Stanford CRFM

*Work done while at Stanford CRFM We introduce HELM Safety v1.0 as a collection of 5 safety benchmarks spanning 6 risk categories (violence, fraud, discrimination, sexual content, harassment, deception) and evaluate 24 prominent language models as an ongoing effort to standardize safety evaluations. Content Warning: The transcipts in the evaluations of HELM Safety may be offensive due to their coverage of topics such as discrimination, violence, and other types of harm. Introduction Given the many risks of language models such as inadvertent bias, developing chemical and malicious use for scams, many efforts aim to improve the safety of language models.

LangGraph 0.3 Release: Prebuilt Agents

By Nuno Campos and Vadym Barda Over the past year, we’ve invested heavily in making LangGraph the go-to framework for building AI agents. With companies like Replit, Klarna, LinkedIn and Uber choosing to build on top of LangGraph, we have more conviction than ever that we are on the right path. A core principle of LangGraph is to be as low level as possible. There are no hidden prompts or no enforced “cognitive architectures” in LangGraph. This has served to make it production ready and also distinguishes itself from all other frameworks. At the same, we do see the value

Reddit – Dive into anything

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Reddit – Dive into anything

We value your privacy Reddit and its partners use cookies and similar technologies to provide you with a better experience. By accepting all cookies, you agree to our use of cookies to deliver and maintain our services and site, improve the quality of Reddit, personalize Reddit content and advertising, and measure the effectiveness of advertising. By rejecting non-essential cookies, Reddit may still use certain cookies to ensure the proper functionality of our platform. For more information, please see our Cookie Notice and our Privacy Policy. Source link

Handling Dynamic Data Using Schema Evolution in Delta

One of the biggest challenges of managing data nowadays is its constantly changing nature. We recently came across a requirement to ingest survey data and send it for sentimental analysis. The survey data is very dynamic, and even for existing surveys, new questions will be added, modified, or deleted.  As the data source evolves and adapts to new changes, the challenge is how to deal with the dynamically changing data to be represented in a table format. We implemented this by leveraging the schema evolution feature in Delta tables. Why Delta Lake? Delta Lake (or Delta Table) is designed to

No Borders, No Threats – Secure Your Online Adventures With NordVPN

Online threats are all around us. Each time we find our footing on the internet, we’re unknowingly monitored and fleeced for private data by brokers. Then, there are annoying geo-restrictions that ruin the party. While enjoyable most of the time, the internet can be really annoying. However, we shouldn’t be so pessimistic when there’s NordVPN. As one of the most secure VPNs, it will guard you from harm and help you remove borders by unblocking restricted websites. Sounds like a combo from dreams? Well, wait until you discover more, including NordVPN’s Birthday offer. See Offer At NordVPN Safeguard Your Online Identity

Virtual Personas for Language Models via an Anthology of Backstories – The Berkeley Artificial Intelligence Research Blog

We introduce Anthology, a method for conditioning LLMs to representative, consistent, and diverse virtual personas by generating and utilizing naturalistic backstories with rich details of individual values and experience. What does it mean for large language models (LLMs) to be trained on massive text corpora, collectively produced by millions and billions of distinctive human authors? In “Language Models as Agent Models”, compelling evidence suggests that recent language models could be considered models of agents: provided with a textual context, LLMs are capable of generating conditional text that represents the characteristics of an agent likely to have produced that context. This

Meta is planning to launch a standalone AI app

Just a heads up, if you buy something through our links, we may get a small share of the sale. It’s one of the ways we keep the lights on here. Click here for more. According to a report from CNBC, Meta is pushing into the generative AI space by planning to launch its AI chatbot, Meta AI, as a standalone app.  The company, led by Mark Zuckerberg, aims to roll out the Meta AI app between April and June 2024 and potentially introduce a subscription model offering advanced features.  This development positions Meta AI in direct competition with established