DeepSeek’s LLM has caused a stir, but ... companies like OpenAI and Anthropic are aiming higher, their sights are set on artificial general intelligence, for which LLMs will be a component. No matter how fast, powerful, or efficient they get, LLMs alone won’t be enough to achieve AGI.

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SAN MATEO, Calif. – Jan 24, 2024 – SnapLogic today unveiled GenAI Builder, a no-code generative AI application development product for enterprise applications and services. The product is compatible with legacy mainframe data, modern databases and APIs, the company said, enabling it to leverage conversational AI for customer, employee and partner digital experiences. Generative AI […]

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Few people can talk in such an engaging way about the chips driving the AI revolution as Karl Freund, founder and principal analyst at Cambrian-AI Research. He joins us to discuss the, well, "Cambrian explosion" we're witnessing in AI chips, the general state of the AI semiconductor....

The post @HPCpodcast: Industry Analyst Karl Freund Compares and Contrasts the Chips Driving the AI Revolution appeared first on High-Performance Computing News Analysis | insideHPC.

Oct. 27, 2023 — Datasaur, a natural language processing (NLP) data-labeling platform, today launched LLM Lab, an interface designed for data scientists and engineers to build and train custom LLM models like ChatGPT. The product will provide a wide range of features for users to test different foundation models, connect to their own internal documents, […]

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Dell Technologies (NYSE: DELL) is collaborating with Meta in a partnership designed to make it easy to deploy Meta’s Llama 2 large language models on premises with Dell’s generative AI portfolio of IT infrastructure and client devices. Dell said the collaboration simplifies the on-prem AI environment by combining Dell’s infrastructure portfolio and Llama 2 AI models....

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HPC-AI industry analyst firm Hyperion Research said its new study on Large Language Models in the HPC community shows that interest in LLMs has exploded in the last six months driven by unique capabilities of the technology to answer queries, generate concise summaries, and even produce unique works of fiction....

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“Lawyers who use AI will replace lawyers who don’t.” That was the coda of a presentation given at the recent HPC User Forum in Tucson by Arizona State University law professor Gary Marchant, a graduate of Harvard Law School and a professor at ASU since 1999. Marchant’s presentation at the Forum, hosted by Hyperion Research, was one of the conference's most talked-about sessions. In this interview, Marchant shares his observations on how generative AI and large language models....

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Large language models fit the classic model of a red-hot technology in an early stage of commercial viability: there’s more talk about it than knowledge, and FOMO – the fear that your competitors are implementing it at your peril – is helping to drive explosive demand. There’s also an allure and mystery around LLMs: some of the awe-inspiring "zero shot" things they do surprise even the data scientists who trained the models (more on this below). Against this backdrop....

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Bonn, Germany,  September 13th, 2023 – Code Intelligence today announced CI Spark, an LLM-powered AI-assistant for software security testing. CI Spark automatically identifies attack surfaces and suggests test code for them, enabling developers to reduce the manual effort needed to generate powerful white-box tests from multiple hours down to a few minutes, the company said, adding […]

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Today ML Commons announced new results from two industry-standard MLPerf benchmark suites: Training v3.0, which measures the performance of training machine learning models, and Tiny v1.1, which measures how quickly a trained neural network can process new data for extremely low-power devices in the smallest form factors. To view the results and to find additional […]

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