Eclipse working group to address cybersecurity, AI regulations
The Eclipse Foundation has launched the Open Regulatory Compliance Working Group (ORC WG) to address evolving global regulations aimed at improving software quality and security. The working group’s formation follows Eclipse’s initial partnering with the Apache Software Foundation and other open source organizations in April. Announced September 24, the initiative looks to support participants globally […]
Read MoreOpenAI Academy to help train developers, offer free credits
In order to help developers globally understand large language models (LLMs) better, the company has funded and published a professional translation of the Massive Multitask Language Understanding (MMLU) benchmark in 14 languages via Hugging Face. “Supporting those who (developers) understand the unique cultures, economies, and social dynamics of their communities will help ensure that […]
Read MoreMeta introduces Llama Stack distributions for building LLM apps
Looking to ease the development of generative AI applications, Meta is sharing its first official Llama Stack distributions, to simplify how developers work with Llama large language models (LLMs) in different environments. Unveiled September 25, Llama Stack distributions package multiple Llama Stack API providers that work well together to provide a single endpoint for developers, […]
Read MoreIntro to Node’s built-in SQLite module
Finally, in (6), we create a select prepared statement and then run it with query.all(), outputting the results to the console: $ node –experimental-sqlite physicists.mjs [ { id: 1, name: ‘Albert Einstein’, quote: “I believe in Spinoza’s God” }, { id: 2, name: ‘Marie Curie’, quote: ‘Nothing in life is to be feared, it is […]
Read MoreCloud architects: Try thinking like a CFO
Improve collaboration across departments. Promoting cooperation between IT, finance, and business units will drive cloud initiatives that leverage insights from across the organization. Cross-disciplinary teams with technical and commercial expertise can help create technically sound and commercially viable solutions, ultimately solving real business challenges and enhancing operational efficiency. Cloud computing architects who adopt a CFO’s […]
Read MoreDeno 2.0 moves to release candidate stage
To improve dependency management, Deno 2.0 introduces a deno add subcommand to handle specifiers with a subpath. In addition, if a project contains a package.json file, Deno will prefer adding npm: dependencies to package.json rather than deno.json. Developers can add “dev dependencies” to package.json using the –dev flag. Also with Deno 2.0, deno install now […]
Read MoreC++ Alliance takes aim at C++ memory safety
C++ and the C language have been the target of criticism by the White House, which in February urged developers to stop using these languages over memory safety concerns. C++ founder Bjarne Stroustrup responded by defending the language. The Safe C++ Extensions proposal aims to turn the tide for C++. A key component of the […]
Read MoreIntro to Deno Fresh: A fresh take on full-stack JavaScript
islands/Counter.tsx import type { Signal } from “@preact/signals”; import { Button } from “../components/Button.tsx”; interface CounterProps { count: Signal<number>; } export default function Counter(props: CounterProps) { return ( <div class=”flex gap-8 py-6″> <Button onClick={() => props.count.value -= 1}>-1</Button> <p class=”text-3xl tabular-nums”>{props.count}</p> <Button onClick={() => props.count.value += 1}>+1</Button> </div> ); } Fresh knows this file is […]
Read MoreException handling in Java: Advanced features and types
My example revealed only one cause. Exceptions thrown from non-trivial real-world applications may contain extensive chains of many causes. You can access these causes by employing a loop such as the following: catch (Exception exc) { Throwable t = exc.getCause(); while (t != null) { System.out.println(t); t = t.getCause(); } } Try-with-resources Java applications often […]
Read MoreOvercoming AI hallucinations with RAG and knowledge graphs
Rather than storing data in rows and columns for traditional searches, or as embeddings for vector search, a knowledge graph represents data points as nodes and edges. A node will be a distinct fact or characteristic, and edges will connect all the nodes that have relevant relationships to that fact. In the example of a […]
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