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Technical interviews about software topics.
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C++ Safety with Herb Sutter
The U.S. government recently released a report calling on the technical community to proactively reduce the attack surface area of software infrastructure. The report emphasized memory safety vulnerabilities, which affect how memory can be accessed, written, allocated, or deallocated. The report cites this class of vulnerability as a common theme in the some of the
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Figma Engineering with Abhi Mathur
Figma is a cloud-based design and product development platform that is widely used in UI and UX work. It allows users to collaborate in real-time, a key feature that has helped drive its popularity. Figma is an impressive engineering feat, in part because of how far it pushes what’s possible in a web browser. Abhi
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Unstructured Data and LLMs with Crag Wolfe and Matt Robinson
The majority of enterprise data exists in heterogenous formats such as HTML, PDF, PNG, and PowerPoint. However, large language models do best when trained with clean, curated data. This presents a major data cleaning challenge. Unstructured is focused on extracting and transforming complex data to prepare it for vector databases and LLM frameworks. Crag Wolfe
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The Changing Enterprise Linux Ecosystem with Wim Coekaerts
Red Hat Enterprise Linux is a Linux distribution developed by Red Hat for the commercial market. The company recently announced changes to the availability of its source code. In response, CIQ, Oracle and SUSE formed the Open Enterprise Linux Association, or OpenELA, which aims to provide a consistent and secure upstream location for Enterprise Linux
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LLM Community Development with Antonio Velasco Fernández and Jose Pablo Cabeza García
LLMs have become one of the most important technologies to emerge in recent years. Many of the most prominent LLM tools are closed source, which has led to great interest in developing open-source tools. Antonio Velasco Fernández is a Data Scientist and Jose Pablo Cabeza García is a Lead Data Engineer, both at Elastacloud. In
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Detecting Deepfakes with Ryan Ofman
A deepfake is a synthetic media technique that uses deep learning to create or manipulate video, audio, or images to present something that didn’t actually occur. Deepfakes have gained attention in part due to their potential for misuse, such as creating forged videos for political manipulation or spreading misinformation. Ryan Ofman is a Lead Engineer