Find similar content

#dotnet Najot Ta'lim jamoasi .NET ustozlari uchun vakansiya e'lon qiladi! «Najot Ta'lim» zamonaviy AyTi markazining Toshkent filiali uchun malakali .NET mentorlar (ustozlar) qidirilmoqda. Bu aynan siz bo'lishingiz mumkin. Quyida batafsil tanishib chiqing. Oylik maosh: soatiga 10$ dan 17$ gacha Talablar: • 1.5 yildan kam bo'lmagan ish tajribasi; • O'zbek tilida erkin so'zlasha olish; • Haftada 5 kun, kuniga 3 soat dars berish; • Mashqlar va imtihonlar sxemalarini to'g'ri tanlay olish; • O'quv bo'limi o'quv rejasini ishlab chiqishda yordam berish. Takliflarimiz: • Rasmiy mehnat faoliyati; • Malakali mutaxasisslardan tashkil topgan katta va ahil jamoa; • Katta tajriba orttirish imkoniyati; • Zamonaviy hi-tech ofisdagi ish; • Bepul treninglar, meetup'lar, workshop'lar; • Qo'shimcha imkoniyatlar; • Eng asosiysi, ilmga chanqoq yoshlarga dars berish. Yuqoridagi talab va takliflar sizga ma'qul kelgan bo'lsa yoki shunday mutaxassisni tanisangiz bizga murojaat qiling. Chunki tavsiya qilgan nomzodingiz jamoamizda ish boshlasa, ma'lum bir shartlar asosida sizga ham 300$ suyunchi bor. Sizni jamoamizda ko'rishdan mamnun bo'lamiz! Murojaat uchun: @najottalim_recruiting +998996150011 @mdcuzbekistan

#dotnet Applied Labs is looking for a .Net Developer (Mid to Senior) City: Tashkent (100% remote. Work from wherever you want or from our office at C-Space coworking in Tashkent or combine both). Salary: $2000 - $4000 About us: Applied Labs LLC (appliedlabs.io) is a successful product development and outstaffing (staff augmentation) company focused on providing a wide range of tech solutions to the US market. The company has offices in New York, London, Moscow, and Tashkent. Key Responsibilities: • Proficiency in C #, .NET Framework and .NET -Core; • Understanding how web protocols (HTTP, HTTPS) and REST / SOAP API work; • Knowledge of MS SQL Server, Oracle, PostgreSQL: the ability to design a database structure, write and optimize SQL queries and stored procedures; • Work experience 3+ years; • Fluency in English (verbal and written communication); • Bachelor's Degree in Computer Science, Engineering or related field or strong track record proving the equivalent level of experience; • Capability to multi-task with strong attention to detail; • Ability to work in a fast-paced, agile environment and resolving unplanned incidents quickly; • Outstanding communication skills, including the ability to effectively present information in both technical and non-technical terms and train users using non-technical terms; • Strong customer service focus; • Excellent team player skills with the ability to influence others. Skills Knowledge and Expertise • A sound knowledge of software engineering; • Excellent analytical skills; • Sourcing requirements from customers and suggesting appropriate solutions; • Quick generating of POC (proof of concepts) and demos; • Self-motivated, proactive, independent & responsive candidate, the specialist, who requires little supervisory attention. Benefits • Flexible office policy - You can work from wherever you want or from our cozy office in Tashkent. You can even combine both - few days in the office and a few days remote; • 5/2 work week, 8 hours a day; • Official employment in accordance with Uzbekistan's Labor Laws; • You are expected to be available for communication between 18:00 to 23:00 Tashkent time (because you'll be working with the US team located in New York); • Frequent team-building activities and internal hackathons; • Health insurance; • Group exercises; • Reimbursement for sport. Apply here: https://appliedlabs.pinpointhq.com/en/jobs/73978

Maid - Mobile Artificial Intelligence Distribution Maid is a cross-platform free and an open-source application for interfacing with llama.cpp models locally, and remotely with Ollama, Mistral, Google Gemini and OpenAI models remotely. -Choose from A wide range of models that runs LOCALLY and access remote models via api key! -Text based output -Image Generation (Selected Models only) -No video or short clips generation yet -Voice generation on selected models (Not tested) -Setting model parameters -Setting system prompt (Making the model behave/generate output in a certain way). -And more. Get it on Github - https://github.com/Mobile-Artificial-Intelligence/maid/releases/latest Fdroid - https://f-droid.org/packages/com.danemadsen.maid/ Spystore - https://play.google.com/store/apps/details?id=com.danemadsen.maid *Don't clear CACHE OF THE APP AND EXCLUDE IT FROM SYSTEM'S AUTO CACHE CLEANING as app stores everything in device cache* Follow @nogoolag and @libreware for more #ai

Cherry Studio Cherry Studio is a desktop client for Windows, Mac and Linux, which supports many LLM providers, including large cloud services and local models. Among its main functions is the ability to work with more than 300 pre -designed #AI assistants, the creation of custom assistants, as well as support for various formats of documents, including text, images and office files. The application offers tools for global search, top management and translating, which significantly improves interaction with the user thanks to the cross -platform and many settings options. https://github.com/cherryhq/cherry-studio

LibreChat AI Open-source platform that allows users to chat and interact with various #AI models through a unified interface. You can use OpenAI, Gemini, Anthropic and other AI models using their API. You may also use Ollama as an endpoint and use LibreChat to interact with local LLMs. It can be installed locally or deployed on a server. LibreChat is designed to be highly customizable and supports a wide range of AI providers and services. Let me summarize its main features: Free and Open Source: Accessible to everyone without any costs. Customization: Offers extensive options to tailor the platform to individual preferences. Multi-AI Support: Integrates with numerous AI models and services. Unified Interface: Provides a consistent experience for interacting with different AI models. https://www.librechat.ai https://itsfoss.com/librechat-linux/

Jan.ai https://jan.ai A platform that enables you to run self-hosted local #AI. Jan provides an OpenAI-equivalent API server at localhost:1337 that can be used as a drop-in replacement with compatible apps. With Jan, you can: -Run open-source LLMs locally or connect to cloud AIs like ChatGPT or Google. -Search the web and databases. Integrate AI with everyday tools to work on your behalf (with permission). -Customize and add features with Extensions. Jan is opinionated software about what AI should be.

Version 3.10 of the legendary programming language is now here: https://www.python.org/downloads/release/python-3100 No rush to update, though. #Python

#Python is the main language of data science, per this analysis on 10M Jupyter Notebooks: https://blog.jetbrains.com/datalore/2020/12/17/we-downloaded-10-000-000-jupyter-notebooks-from-github-this-is-what-we-learned/

#ai 24 年决定转行的时候，一直犹豫不决，感觉也许是自己 overthinking，担心不做出改变会很快失业。再三思考以后，决定走一条深入了解实际问题本身的职业路线。当时想应该是一个很容易赢得的赛跑。 两年后的现在看来，甚至比之前预想的来的还要快，从创新，到工程，没有一项不被渗透的。 我统计了我们的研发部门对 AI 的使用，他们对于 AI 的依赖可以说已经无可替代了。很多人说 AI 创新的问题，现实逻辑其实是，很多时候组合创新很有效，而这个是 AI 很擅长的，比如一个领域没有出现过 Monte Carlo 这种方法，我有个同事就通过跟 AI 聊天发现了 Monte Carlo 并且有了代码实现，而他有了更多的时间来思考更高层次的问题。这是问题本身抽象，然后数学表示，然后解决数学问题，最后翻译回结论，这样的传统工作流需要很多的经验，但是 AI 加持下极大的降低了这条路经的门槛。 工程更是渗透地可怕，我身边没有哪个 sensor swe 不在 vibe coding 。vibe coding 三要素：定义、工程栈与设计哲学、测试和验证，只要其中一项足够熟悉，就可以堆出不错的屎山。像是 GitHub 的各种深度整合，工作流变成了提出 issue，交给 copilot，等待，review 代码，迭代。有很大的概率无需自己写任何代码。 到最后，知道问题的价值，了解技术栈与好的设计，懂得如何验证结果，不管是从创新层面，还是从工程层面，都在卷起来了。 我自己选择的路线是：做距离问题最近的管理+全栈，说实话也不知道是不是一条正确的路。最近我采访了我们一线的各种职位的员工，目的就是减少来告诉我什么是重要问题的中间人。而我有时间这样做也是因为 AI 的加持。 除了这些，能够在急速迭代中保持身心健康，不在迭代中迷失方向，也是很核心的。我经常听到同事朋友说迭代太快人有些 burnout 了。 感想触发： https://x.com/slow_developer/status/2020064994101014727

朱老师用一系列 AI 工具创作了一本童书，总共花了二十小时。 当然，他也坦言，因为自己是设计师，所以懂排版；因为之前出过书，所以了解整个出版流程。如果没有这些经验，恐怕远远不止二十小时。 他用到的工具： ChatGPT3.5, New Bing, Midjourney V4, Figma, Blurb. https://www.douban.com/note/846359765/ #ai