# cv Published articles for cv. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## (Re)introducing Developer Story DevFeed: [(Re)introducing Developer Story]() Original publisher: [Read original article]() Author: Philippe Beaudette Published: 2026-09-10T18:01:54Z Content type: news Language: en Sources: [Stack Overflow Blog]() Topics: [Programming](), [Code](), [Large Language Model](), [datasets]() Tags: [career](), [community](), [company](), [cv](), [datasets](), [developer](), [identity](), [llms](), [news](), [privacy](), [profile](), [programming](), [se-stackoverflow](), [se-tech](), [skills](), [work]() ### AI overview Stack Overflow is reintroducing Developer Story, a profile feature designed to showcase developers' careers, specialties, contributions, and technical identity. The article also introduces Stack Identity, a broader vision for verified proof of developer work, with privacy controls and integrations for verified contributions from other sites. ### Source excerpt For the past few years, we've been looking at ways to bring a little more of the individual developer back to Stack. ## Continuous Thought Machine: Sakana AI's experimental architecture for time-based neural computation DevFeed: [Continuous Thought Machine: Sakana AI's experimental architecture for time-based neural computation]() Original publisher: [Read original article]() Author: redmadrobot (red\_mad\_robot) Published: 2025-06-06T16:44:09Z Content type: article Language: ru Sources: [Redmadrobot EN](), [Redmadrobot RU]() Topics: [Artificial Intelligence](), [Machine learning]() Tags: [ai](), [architecture](), [cifar-10](), [ctm](), [cv](), [lstm](), [machine](), [ml](), [nlm](), [rl](), [sakana](), [sakanaai](), [tag-13e2af703774](), [tag-68e701e78517]() ### AI overview The article examines Sakana AI's experimental Continuous Thought Machine (CTM), an architecture that makes internal temporal dynamics and neural synchronization central to computation. It describes iterative reasoning through internal states and ticks, while noting that the model is resource-intensive, unstable without careful tuning, and not intended to replace transformers. ### Source excerpt Аналитический центр red_mad_robot продолжает следить за архитектурными прорывами в мире AI. В этот раз -- экспериментальная модель от команды Sakana AI, которая предлагает мыслить не в терминах слоёв, а в терминах времени. Их Continuous Thought Machine (CTM) -- попытка встроить в нейросеть внутреннюю динамику, вдохновлённую человеческим мозгом. Разбираем, как устроена архитектура, что такое "внутренние тики" и зачем нейросети синхронизировать собственные мысли -- на примерах из CV, сортировки, Q&A и RL. Читать далее ## Timm ❤ Transformers: Use any timm model with transformers DevFeed: [Timm ❤ Transformers: Use any timm model with transformers]() Original publisher: [Read original article]() Author: Aritra Roy Gosthipaty; Ross Wightman; Pavel Iakubovskii; Pedro Cuenca; Vaibhav Srivastav Published: 2025-01-16T00:00:00Z Content type: tutorial Language: en Sources: [Hugging Face - Blog]() Topics: [AI, ML & Data Engineering](), [object-detection](), [web applications]() Tags: [api](), [classification](), [community](), [computer-vision](), [cv](), [fine-tuning](), [gradio](), [integration](), [pytorch](), [quantization](), [timm](), [transformers]() ### AI overview A tutorial on integrating timm computer-vision models with Transformers for pipelines, quantization, fine-tuning, and inference, including an image-classification app example. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## Visual Document Retrieval Goes Multilingual DevFeed: [Visual Document Retrieval Goes Multilingual]() Original publisher: [Read original article]() Author: Marco Cimolai; Logan Markewich Published: 2025-01-10T00:00:00Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [datasets](), [Embeddings](), [hugging face](), [llamaindex](), [multimodal](), [Open Source](), [Inference](), [data](), [Query (disambiguation)]() Tags: [artificial-intelligence](), [benchmarks](), [cv](), [data](), [datasets](), [embeddings](), [hugging-face](), [inference](), [integrations](), [llamaindex](), [multimodal](), [nlp](), [open-source](), [open-source-collab](), [retrieval](), [synthetic](), [vector](), [vlms]() ### AI overview The article introduces a multilingual embedding model for visual document retrieval and its English-only counterpart. The models encode document page screenshots into dense single-vector representations, enabling visual search across languages without OCR or document-chunking pipelines. The article also presents a 500,000-sample open-source multilingual synthetic dataset, reports faster inference and lower VRAM usage, and describes cross-lingual retrieval and Matryoshka Representation Learning capabilities. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## Docmatix - a huge dataset for Document Visual Question Answering DevFeed: [Docmatix - a huge dataset for Document Visual Question Answering]() Original publisher: [Read original article]() Author: Andres Marafioti; Hugo Laurençon Published: 2024-07-18T00:00:00Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [datasets](), [vlm](), [Fine-tuning](), [hugging face](), [pdf](), [Language models]() Tags: [announcement](), [code](), [community](), [cv](), [datasets](), [fine-tuning](), [hallucinations](), [hugging-face](), [open-source](), [pdf](), [research](), [synthetic-data](), [vlm]() ### AI overview The article introduces Docmatix, a large Document Visual Question Answering dataset containing 2.4 million images and 9.5 million question-answer pairs derived from 1.3 million PDF documents. It describes the dataset's generation from PDFA transcriptions using a Phi-3-small model, quality filtering, image processing, and prompt optimization. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## Introducing Idefics2: A Powerful 8B Vision-Language Model for the community DevFeed: [Introducing Idefics2: A Powerful 8B Vision-Language Model for the community]() Original publisher: [Read original article]() Author: Leo Tronchon; Hugo Laurençon; Victor Sanh Published: 2024-04-15T00:00:00Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [vlm](), [multimodal](), [smolvlm](), [Open Source](), [datasets](), [foundation-models](), [Fine-tuning](), [Transformers](), [Computer vision]() Tags: [computer-vision](), [cv](), [datasets](), [fine-tuning](), [model](), [multimodal](), [nlp](), [ocr](), [open](), [open-source](), [performance](), [research](), [transformers](), [vision](), [vlm]() ### AI overview Idefics2 is an 8B open multimodal vision-language model that accepts text and images and generates text responses. It supports image question answering, visual description, multi-image storytelling, document information extraction, and basic arithmetic, with enhanced OCR and integration with Transformers for fine-tuning. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## Applying for Developer Advocacy DevFeed: [Applying for Developer Advocacy]() Original publisher: [Read original article]() Author: Hadi Hariri (mail@hadihariri.com) Published: 2022-01-02T23:00:00Z Content type: opinion Language: en Sources: [Hadi Hariri]() Topics: [Developer experience](), [Job](), [jetbrains](), [Development]() Tags: [communication](), [community](), [cv](), [developer](), [developer-experience](), [hiring](), [jetbrains](), [teaching]() ### AI overview An overview of what JetBrains looks for when hiring developer advocates, including real-world software development experience, familiarity with JetBrains tools, communication skills, community involvement, and teaching ability. ### Source excerpt We have a few positions open for Developer Advocacy at JetBrains, and for the past several months I've been going through CVs. I usually look for specific things that stand-out for the role and thought it might be worth sharing these. Developer Experience Developer Advocacy is first and foremost about Software Development. You are someone that will be helping developers. You are someone that will be helping the product teams make a better product. Both of these are hard to accomplish if you don't have the experience and war-stories. Highlight your experience as a developer in your CV. In the 12 years I've been involved in Advocacy, only on a couple of occasions did we hire someone with little real-world developer experience, but these were justified for other reasons. Experience with JetBrains Tools We want folks that join JetBrains to believe in what we're doing, and enjoy using our products. If you don't, then you probably won't be happy at your job. If you use our products, make sure you point it out. You don't need to be an expert, but believing in them and wanting to help improve them is important. We are strongly against hiring shills. Communication Skills Communicating is critical in the role. Whether it's talking to a customer at a booth, or talking to developers inside the company, it must be something that you're not only good at but enjoy doing. As such, highlighting communication skills is important when applying for the role. Community Presence As a Developer Advocate, having a community presence is important. Provide information about your community activities and/or online presence, whether it's speaking, organising events, social media accounts, GitHub or other repository accounts. Note however that while community presence is important, it's not critical. You don't have to be a micro-celebrity in your community to get a job as a Developer Advocate at JetBrains. We're not particularly looking for big names. We're looking for people that are aligned w ## Writing a better Tech Resume / CV DevFeed: [Writing a better Tech Resume / CV]() Original publisher: [Read original article]() Author: Rebecca Franks Published: 2021-04-18T08:31:53Z Content type: tutorial Language: en Sources: [Rebecca Franks - @riggaroo]() Topics: [Job](), [Software]() Tags: [career](), [curriculum-vitae](), [cv](), [job](), [resume](), [tech](), [tips](), [writing]() ### AI overview A practical guide to improving technology resumes and cover letters. It recommends making cover letters personal, brief, role-specific, and original, while emphasizing that resume structure is as important as content. ### Source excerpt Your resume doesn't need to be boring! In the past couple of years of my career I've been involved in the recruitment process of software engineers, which has meant reading a lot of resumes and deciding when to move forward with a candidate based on its content. I've seen some really great resumes and unfortunately, [...] The post Writing a better Tech Resume / CV appeared first on Rebecca Franks - @riggaroo. ## My Journey to trivago DevFeed: [My Journey to trivago]() Original publisher: [Read original article]() Author: Behrang Yarahmadi Software Engineer; Learning New Things Published: 2018-10-31T00:00:00Z Content type: opinion Language: en Sources: [Trivago]() Topics: [Job](), [Testing](), [Requirements]() Tags: [community](), [cv](), [email](), [engineering](), [engineering-culture](), [experience](), [frontend](), [germany](), [internet](), [interview](), [job](), [jobs](), [journey](), [student](), [testing](), [university]() ### AI overview A computer engineering student recounts finding and applying for a student job in trivago's Manual Testing department, including the application and interview process and his first impressions of the workplace. ### Source excerpt Sometimes, when I look back over the time I have spent working at trivago, I see how it changed my life and how lucky I have been to get the chance to work among this amazing community, to live and to learn with them. I look back and see a younger version of myself looking desperately for something different and, by just sheer luck, getting it.