generativeai
By Khalid Abuhakmeh Whether you’re new to software development or you have decades of experience, there’s always room to learn something new. The TIOBE Index tracks the top 50 most popular programming languages, with many ecosystems presenting opportunities for career advancement and lateral shifts. Given the breadth of technologies available, it can be challenging to find the time to learn a new skill and to do it effectively. Recently, I have been attempting to learn the Rust language, a type-safe language built with performance, reliability, and productivity in mind. In doing so, I have lea...
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The Council of Europe agreed on a treaty on artificial intelligence (AI) on Friday, claiming it is the first binding international treaty on the technology. The treaty, signed by its 46 nations, sets out a legal framework that covers the entire lifecycle of AI systems and addresses the risks they may pose while promoting responsible innovation. “With this new treaty, we aim to ensure a responsible use of AI that respects human rights, the rule of law and democracy,” the council’s Secretary-General Marija Pejčinović said in a statement. The convention aims to establish “transparency and oversig...
Euronews (English)
Earlier this week, OpenAI introduced its latest AI model, GPT-4o, promising a significant upgrade to ChatGPT's capabilities. Building on the success of GPT-4, this new model aims to make ChatGPT smarter, easier to use, and accessible to all users, including those without a paid subscription. The release of the new GPT-4o model was followed by numerous demonstrations that displayed its new capabilities, like advanced analysis of visual inputs, solving complex maths equations, and interpreting facial expressions. The new model is also capable of generating content and understanding commands in v...
Euronews (English)
This week was all about artificial intelligence (AI) competitors showing off their might with OpenAI and Google’s DeepMind trying to trump the other. But the impressive updates show how the technology is being rolled out quickly, living up to previously voiced fears penned in an open letter that AI could harm society and should be put on pause until it is better understood. OpenAI’s co-founder and chief scientist Ilya Sutskever, who was known to question Sam Altman’s ambition to deploy AI quickly, announced on Wednesday he was leaving the start-up. On Monday, OpenAI held its first-ever live se...
Euronews (English)
By David Linthicum According to Forrester’s Infrastructure Cloud Survey in 2023, 79% of about 1,300 enterprise cloud decision-makers surveyed said their organizations are implementing private clouds. Additionally, IDC forecasts that global spending on private, dedicated cloud services, including hosted private clouds, will hit $20.4 billion in 2024 and will at least double by 2027. In addition, global spending on enterprise private cloud infrastructure, including hardware, software, and support services, will be $51.8 billion in 2024 and grow to $66.4 billion in 2027, according to IDC. Of cour...
Info World
By Paul Krill Google has expanded on its Gemma family of AI models, introducing the PaliGemma vision-language model (VLM) and announcing Gemma 2, the next generation of Gemma models based on a new architecture. The company also released the LLM Comparator in open source, an addition to its Responsible Generative AI Toolkit. Google announced the new products on May 14. The company described PaliGemma as a powerful open VLM inspired by the Pali-3 vision-language models, intended to be smaller, faster, and stronger. Built on components from the SigLIP vision model, PaliGemma is designed for a ran...
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By Jignesh Patel The hype and awe around generative AI have waned to some extent. “Generalist” large language models (LLMs) like GPT-4, Gemini (formerly Bard), and Llama whip up smart-sounding sentences, but their thin domain expertise, hallucinations, lack of emotional intelligence, and obliviousness to current events can lead to terrible surprises. Generative AI exceeded our expectations until we needed it to be dependable, not just amusing. In response, domain-specific LLMs have emerged, aiming to provide more credible answers. These LLM “specialists” include LEGAL-BERT for law, BloombergGP...
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By Matt Asay “AI models currently shine at helping so-so coders get more stuff done that works in the time they have,” argues engineer David Showalter. But is that right? Showalter was responding to Santiago Valdarrama’s contention that large language models (LLMs) are untrustworthy coding assistants. Valdarrama says, “Until LLMs give us the same guarantees [as programming languages, which consistently get computers to respond to commands], they’ll be condemned to be eternal ‘cool demos,’ useless for most serious applications.” He is correct that LLMs are decidedly inconsistent in how they res...
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By Martin Heller Back in the ancient days of machine learning, before you could use large language models (LLMs) as foundations for tuned models, you essentially had to train every possible machine learning model on all of your data to find the best (or least bad) fit. By ancient, I mean prior to the seminal paper on the transformer neural network architecture, “Attention is all you need,” in 2017. Yes, most of us continued to blindly train every possible machine learning model for years after that. It was because only hyper-scalers and venture-funded AI companies had access to enough GPUs or ...
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By Paul Krill Red Hat is extending its Lightspeed generative AI technology to work with the company’s Red Hat OpenShift hybrid cloud application platform as well as with Red Hat Enterprise Linux (RHEL). Announced May 7, Red Hat OpenShift Lightspeed and Red Hat Enterprise Linux Lightspeed will offer intelligent, natural language processing capabilities, intended to make OpenShift and RHEL easier for novices to use and more efficient for experienced professionals, Red Hat said. Red Hat OpenShift Lightspeed is slated for availability in late 2024. Red Hat Enterprise Linux is in the planning stage...
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