machinelearning
By Anirban Ghoshal Google has added new large language models (LLMs) and a new agent builder feature to its AI and machine learning platform Vertex AI at its annual Google Cloud Next conference. The LLM include a public preview of the Gemini 1.5 Pro model, which has support for 1-million-token context. The expanded support for context allows native reasoning over enormous amounts of data specific to an input request, the company said, adding that it has received feedback from enterprises that this expanded support can eliminate the need to fine-tune models or employ retrieval augmented generat...
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By Peter Wayner Just a few years ago, a prompt was something English teachers used for homework assignments, which filled up weekends and kept students inside on sunny days. Now it seems we’re all teachers, tasked with distributing perfect prompts that direct large language models to do our bidding. These prompts are also endowed with the power to ruin weekends, but it’s not the machines that are suffering. The power of prompts can seem downright magical. We toss off a few words that approximate a human language and, voila! Back comes a nicely formatted, well-structured answer to whatever ques...
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By Isaac Sacolick There’s significant buzz and excitement around using AI copilots to reduce manual work, improving software developer productivity with code generators, and innovating with generative AI. The business opportunities are driving many development teams to build knowledge bases with vector databases and embed large language models (LLMs) into their applications. Some general use cases for building applications with LLM capabilities include search experiences, content generation, document summarization, chatbots, and customer support applications. Industry examples include developi...
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By Anirban Ghoshal Database and related services provider DataStax is acquiring Logspace, creator of the open source package Langflow, for an undisclosed sum, in order to help developers build generative AI applications faster, it said Thursday. Langflow is an open-source, web-based no-code graphical user interface (GUI) that allows developers to visually prototype LangChain flows and iterate them to develop applications faster. LangChain is a modular framework for Python and JavaScript that simplifies the development of applications that are powered by generative AI language models or LLMs. D...
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By Martin Heller Vertex AI Studio is an online environment for building AI apps, featuring Gemini, Google’s own multimodal generative AI model that can work with text, code, audio, images, and video. In addition to Gemini, Vertex AI provides access to more than 40 proprietary models and more than 60 open source models in its Model Garden, for example the proprietary PaLM 2, Imagen, and Codey models from Google Research, open source models like Llama 2 from Meta, and Claude 2 and Claude 3 from Anthropic. Vertex AI also offers pre-trained APIs for speech, natural language, translation, and visio...
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By Martin Heller Vertex AI Studio is an online environment for building AI apps, featuring Gemini, Google’s own multimodal generative AI model that can work with text, code, audio, images, and video. In addition to Gemini, Vertex AI provides access to more than 40 proprietary models and more than 60 open source models in its Model Garden, for example the proprietary PaLM 2, Imagen, and Codey models from Google Research, open source models like Llama 2 from Meta, and Claude 2 and Claude 3 from Anthropic. Vertex AI also offers pre-trained APIs for speech, natural language, translation, and visio...
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By Paul Krill In JFrog’s just-released Software Supply Chain State of the Union 2024 report, the software supply chain platform provider found extensive use of AI and machine learning tools for security. However, only one in three software developers the company surveyed use generative AI to write code. While 90% of survey respondents indicate their organizations currently use AI/ML-powered tools in some capacity to assist in security scanning and remediation, only about one in three professionals, 32%, said their organizations use AI/ML-powered tools to write code. This indicates the majority...
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By Paul Krill In JFrog’s just-released Software Supply Chain State of the Union 2024 report, the software supply chain platform provider found extensive use of AI and machine learning tools for security. However, only one in three software developers the company surveyed use generative AI to write code. While 90% of survey respondents indicate their organizations currently use AI/ML-powered tools in some capacity to assist in security scanning and remediation, only about one in three professionals, 32%, said their organizations use AI/ML-powered tools to write code. This indicates the majority...
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By David Linthicum Federated learning marks a milestone in enhancing collaborative model AI training. It is shifting the main approach to machine learning, moving away from the traditional centralized training methods towards more decentralized ones. Data is scattered, and we need to leverage it as training data where it exists. This paradigm is nothing new. I was playing around with it in the 1990s. What’s old is new again… again. Federated learning allows for the collaborative training of machine learning models across multiple devices or servers, harnessing their collective data without nee...
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By Kevin Cochrane While graphics processing units (GPUs) once resided exclusively in the domains of graphic-intensive games and video streaming, GPUs are now equally associated with and machine learning (ML). Their ability to perform multiple, simultaneous computations that distribute tasks—significantly speeding up ML workload processing—makes GPUs ideal for powering artificial intelligence (AI) applications. The single instruction multiple data (SIMD) stream architecture in a GPU enables data scientists to break down complex tasks into multiple small units. As such, enterprises pursuing AI a...
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