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Google says the Gemma 3 opensource model is the best in the world for running on a single GPU or AI accelerator. The latest Gemma model is aimed primarily at developers who need to create AI to run in various environments, be it a data center or a smartphone. And you can tinker with Gemma 3 right now.
CURE International is building an open-source electronic medical record system that will be available to other hospitals in developing countries. The system will allow hospitals to safely and reliably digitize, store, and easily access patient data in one centralized system.
Meet Kestra, a startup that has been working on an open-source project focused on data orchestration across several services, databases, files, repositories and warehouses. But first, why would you need a […]
For years, founders and investors in China had little interest in opensource software because it did not seem like the most viable business model. The three-year-old Chinese startup, which builds opensource software for processing unstructured data, recently closed a Series B round of $43 million.
Long before most of us were thinking about large language models, DataCebo co-founders Kalyan Veeramachaneni and Neha Patki were creating an opensource library called Synthetic Data Vault or SDV for short. The company’s roots go back to 2018 when both were working in the MIT Data Lab. All rights reserved.
A new report shines a light on the world of commercial opensource software (COSS) startups, including which ones are growing fastest, which are raising cash and even which universities are most popular among COSS founders. Runa previously backed a number of companies with opensource foundations such as Nginx , MariaDB and N8n.
But when the stakes are high, data is the knife that cuts through preconceptions to uncover the objective truth. AI turns that knife into a laser taking data-driven decision-making to unprecedented levels of accuracy, efficiency, and ease. AI provides a satellite image of an entire data landscape. Not necessarily so.
Founded out of Berlin in 2021, Qdrant is targeting AI software developers with an opensource vector search engine and database for unstructured data, which is an integral part of AI application development particularly as it relates to using real-time data that hasn’t been categorized or labeled.
As nonprofits emerge from pandemic-related challenges, data has become critical in preparing for what's next. Data Lake for Nonprofit Cloud, Powered by AWS, is a new open-source solution designed to make it even easier for organizations to leverage their Salesforce Nonprofit Cloud data.
Are open-source LLMs cheaper to deploy? Continue reading on Towards Data Science » How much does it cost to deploy LLMs like ChatGPT? What are the tradeoffs?
In a step toward solving it, OpenAI today open-sourced Whisper, an automatic speech recognition system that the company claims enables “robust” transcription in multiple languages as well as translation from those languages into English. Speech recognition remains a challenging problem in AI and machine learning.
If you’ve ever wanted to be like Steve Wozniak and have your own custom-made, geeky watch, Squarofumi (stylized SQFMI) may have the product for you: an open-source, Arduino-powered smartwatch with a 1.54-inch Image: SQFMI. inch e-paper screen ( via Gizmodo ).
Unveiled today as the largest publicly available AI model for genomic data, it was built on the NVIDIA DGX Cloud platform in a collaboration led by nonprofit biomedical research organization Arc Institute and Stanford University.
American Sign Language is the third most prevalent language in the United States but there are vastly fewer AI tools developed with ASL data than data representing the countrys most common languages, English and Spanish. Whether novice or expert, volunteers can record themselves signing to contribute to the ASL dataset.
So despite the broader downturn , it seems that 2022 may have been relatively kind to startups operating in the no- and low-code sphere, something that fledgling Northern Irish startup Budibase is capitalizing on with the announcement of a fresh $7 million tranche of funding to further develop an opensource web app builder.
They wanted to make it easier by building an opensource platform to exchange and collaborate on these files. ” He said that Speckle is also a developer platform on which you can harvest this 3D data and use it for productive things like building applications that make it easier to work with.
With Together, Prakash, Zhang, Re and Liang are seeking to create opensource generative AI models and services that, in their words, “help organizations incorporate AI into their production applications.” Current cloud offerings, with closed-source models and data, do not meet their requirements.”
ARMO , the Tel Aviv-based company behind Kubescape , the popular opensource Kubernetes security platform, today announced that it has raised a $30 million Series A funding round led by Tiger Global. For users who only use up to 10 worker nodes, there is also a free plan with one month of data retention.
This has raised the profile and pursuit of data science: After all, as Airbyte CEO and co-founder Michel Tricot succinctly put it, no data, no AI. Its solution extracts unstructured data from databases, converts more than 30 file types into LLM-ready formats, and loads the results into vector databases for RAG applications.
The technique caught widespread attention after Chinas DeepSeek used it to build powerful and efficient AI models based on opensource systems released by competitors Meta and Alibaba. Through distillation, companies take a large language modeldubbed a teacher modelwhich generates the next likely word in a sentence.
Its open-source-based Prisma ORM, launched last year, now has more than 150,000 developers using it for Node.js Schmidt said the plan is to increase investment in that open-source tool to bring on more users, with a view to building its first revenue-generating products.
LinkedIn has decided to opensource its data management tool, OpenHouse, which it says can help data engineers and related data infrastructure teams in an enterprise to reduce their product engineering effort and decrease the time required to deploy products or applications.
MLOps platform Iterative , which announced a $20 million Series A round almost exactly a year ago, today launched MLEM, an open-source git-based machine learning model management and deployment tool. Using MLEM, developers can store and track their ML models throughout their lifecycle.
The nonpartisan think tank Brookings this week published a piece decrying the bloc’s regulation of opensource AI, arguing it would create legal liability for general-purpose AI systems while simultaneously undermining their development. “In the end, the [E.U.’s] “In the end, the [E.U.’s]
Cloud-based data warehouse company Snowflake has developed an open-source large language model (LLM), Arctic, to take on the likes of Meta’s Llama 3 , Mistral’s family of models, xAI’s Grok-1 , and Databricks’ DBRX. To read this article in full, please click here
Data lakehouse provider Databricks has released a family of open-source large language models (LLM) , DBRX, that it says outperforms OpenAI’s GPT 3.5 and open-source models such as Mixtral, Claude 3, Llama 2 , and Grok-1 on standard benchmarking tests. To read this article in full, please click here
Snowflake says it will open up the source code to its new Polaris Catalog, a strategy that suggests it wants to lure data catalog users away from rival Databricks’ Unity Catalog while bolstering the attractiveness of its own offering, analysts said. To read this article in full, please click here
This was a great accomplishment, since the USB-C port was fully functional for both charging and data transfers. Last month, we learned that an engineering student from Swiss Federal Institute of Technology, EPFL, had successfully modded an iPhone X to change the charging port from Lightning to USB-C.
Given the tremendous barrier to entry, is it worth considering whether opensource foundation models could level the playing field and also address concerns about privacy and bias?
However, much of the data that drives these advances remain unreleased to the broader research community. Public instruction tuning data collections Since 2020, several instruction tuning task collections have been released in rapid succession, shown in the timeline below. Flan-T5 outperforms T5 on single-task fine-tuning.
The weights, sample data, and interactive interface for Muse, which Microsoft calls a "World and. Microsoft researchers recently introduced Muse, a generative AI model designed to extrapolate interactive video game scenarios from images, clips, and recorded player input. Read Entire Article
As a company founded by data scientists, Streamlit may be in a unique position to develop tooling to help companies build machine learning applications. For starters, it developed an open-source project, but today the startup announced an expanded beta of a new commercial offering and $35 million in Series B funding.
Platform Specific Tools and Advanced Techniques Photo by Christopher Burns on Unsplash The modern data ecosystem keeps evolving and new data tools emerge now and then. In this article, I want to talk about crucial things that affect data engineers. Are your data pipelines efficient? Data warehouse exmaple.
Commercial data centers are also transforming to meet the demands of AI and high-performance computing applications. Aligned Data Centers has rolled out next-generation liquid-cooling systems, which use far less water and energy than air cooling, across its operations. in Ehningen, Germany. TSMC had record 2024 annual revenue of $87.8
Optimizing queries, improving runtimes, and geospatial data science applications Photo by Tamas Tuzes-Katai on Unsplash Intro: why is a spatial index useful? In doing geospatial data science work, it is very important to think about optimizing the code you are writing. This is where concepts such as spatial indices come in.
Audacity's simple, functional interface and powerful audio manipulating capabilities have long made it a favorite among newbie and expert users, especially since it's free and has been continuously worked on and improved by the open-source community for over two decades.
A deep dive into the “Agentic Reasoning” framework & the techniques behind it that make it outperform the most advanced reasoning LLMs… Continue reading on Level Up Coding
IBM today announced that it acquired Databand , a startup developing an observability platform for data and machine learning pipelines. Databand employees will join IBM’s data and AI division, with the purchase expected to close on June 27. Details of the deal weren’t disclosed, but Tel Aviv-based Databand had raised $14.5
Previously, the stunning intelligence gains that led to chatbots such ChatGPT and Claude had come from supersizing models and the data and computing power used to train them. Nvidia unveiled the new GPUs in March 2024 and quickly sold its entire 2024 supply to the largest data center operators. Read more about Nvidia , honored as No.
Onehouse emerged last year with a cloud data lake product built on top of the opensource Apache Hudi project. The startup wants to act as an integration layer to move data between different repositories, rather than competing directly with larger data lake vendors like Snowflake and Databricks.
How to build a modern, scalable data platform to power your analytics and data science projects (updated) Table of Contents: What’s changed? The Platform Integration Data Store Transformation Orchestration Presentation Transportation Observability Closing What’s changed? Over the last three years, my life has changed as well.
Data Management A tutorial on how to use VDK to perform batch data processing Photo by Mika Baumeister on Unsplash Versatile Data Ki t (VDK) is an open-sourcedata ingestion and processing framework designed to simplify data management complexities.
Are You a Data Ticket Taker or Decision Maker? The characteristics and value of reactive vs. proactive data teams Image courtesy of the author. Fundamentally, there are two different types of data teams in this world. This isn’t to say data teams should never resolve a ticket or field an ad-hoc request.
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