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Code with Brij

Code with Brij

前往频道在 Telegram

📈 Telegram 频道 Code with Brij 的分析概览

频道 Code with Brij (@codewithbrij) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 14 016 名订阅者,在 技术与应用 类别中位列第 9 200,并在 马来西亚 地区排名第 2 758

📊 受众指标与增长动态

невідомо 创建以来,项目保持高速增长,吸引了 14 016 名订阅者。

根据 23 六月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 -166,过去 24 小时变化为 -5,整体触达仍然可观。

  • 认证状态: 未认证
  • 互动率 (ER): 平均受众互动率为 10.74%。内容发布后 24 小时内通常能获得 N/A% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 0 次浏览,首日通常累积 0 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 0

📝 描述与内容策略

尚未提供频道描述。

凭借高频更新(最新数据采集于 24 六月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 技术与应用 类别中的关键影响点。

14 016
订阅者
-524 小时
-297
-16630
帖子存档
This is not your average tech talk. We're talking about building systems that understand both words and pictures, like some kind of super-powered search engine on steroids. Forget the days of searching in silos - text here, images there. Imagine a retrieval system that bridges the gap, where words and visuals dance hand-in-hand to find exactly what you need. That's the power of LangChain for Multimodal Apps, and we're learning all the secrets in this engaging workshop - 👉 𝗥𝗲𝘀𝗲𝗿𝘃𝗲 𝘆𝗼𝘂𝗿 𝘀𝗽𝗼𝘁 𝗻𝗼𝘄 𝗮𝘁: brij.guru/ai 🗓️ 𝗝𝗮𝗻𝘂𝗮𝗿𝘆 𝟮𝟲, 2024, 10 AM - 11 AM PT Here's what's on the menu: ✅ 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗮 𝗺𝘂𝗹𝘁𝗶-𝗺𝗼𝗱𝗮𝗹 𝗺𝗮𝗿𝘃𝗲 ✅ 𝗘𝗺𝗯𝗲𝗱𝗱𝗶𝗻𝗴𝘀 𝗴𝗮𝗹𝗼𝗿𝗲 ✅ 𝗤𝘂𝗲𝗿𝘆 𝘄𝗵𝗶𝘀𝗽𝗲𝗿𝗲𝗿 ✅ 𝗗𝗮𝘁𝗮 𝗵𝗮𝗿𝗺𝗼𝗻𝘆 ✅ 𝗥𝗲𝗮𝗹-𝘄𝗼𝗿𝗹𝗱 𝗺𝗮𝗴𝗶𝗰

This is not your average tech talk. We're talking about building systems that understand both words and pictures, like some kind of super-powered search engine on steroids. Forget the days of searching in silos - text here, images there. Imagine a retrieval system that bridges the gap, where words and visuals dance hand-in-hand to find exactly what you need. That's the power of LangChain for Multimodal Apps, and we're learning all the secrets in this engaging workshop - 👉 𝗥𝗲𝘀𝗲𝗿𝘃𝗲 𝘆𝗼𝘂𝗿 𝘀𝗽𝗼𝘁 𝗻𝗼𝘄 𝗮𝘁: brij.guru/ai 🗓️ 𝗝𝗮𝗻𝘂𝗮𝗿𝘆 𝟮𝟲, 2024, 10 AM - 11 AM PT Here's what's on the menu: ✅ 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗮 𝗺𝘂𝗹𝘁𝗶-𝗺𝗼𝗱𝗮𝗹 𝗺𝗮𝗿𝘃𝗲𝗹: We'll show you how to blend a hybrid database magic with the innovative LangChain to create a retrieval system that's as smart as it is flexible. ✅ 𝗘𝗺𝗯𝗲𝗱𝗱𝗶𝗻𝗴𝘀 𝗴𝗮𝗹𝗼𝗿𝗲: Learn to craft text and image embeddings using GPT and CLIP, unlocking the hidden language of both words and pixels. ✅ 𝗤𝘂𝗲𝗿𝘆 𝘄𝗵𝗶𝘀𝗽𝗲𝗿𝗲𝗿: Master the art of encoding queries for both text and image searches, so your system can understand exactly what you're looking for. ✅ 𝗗𝗮𝘁𝗮 𝗵𝗮𝗿𝗺𝗼𝗻𝘆: Discover how to seamlessly integrate structured and vector data in one beautiful system, no more data silos in sight! ✅ 𝗥𝗲𝗮𝗹-𝘄𝗼𝗿𝗹𝗱 𝗺𝗮𝗴𝗶𝗰: See how this system can be used to retrieve relevant text and images simultaneously, from powering chatbots that understand your doodles to finding the perfect vacation pic based on your mood.

Here is the AWS guide that I promised last week

Looking to safeguard your career in the IT industry? Follow these 6 essential steps to withstand any downturn. It's that simp
Looking to safeguard your career in the IT industry? Follow these 6 essential steps to withstand any downturn. It's that simple. https://www.linkedin.com/posts/brijpandeyji_looking-to-safeguard-your-career-in-the-it-activity-7154486793210327040-0S0_?

Many people think if they become experts in a specific role, they'll be indispensable and can't be replaced. But here's the hard truth—every role is replaceable. Every. Single. One. Been at the same company for years using the same tech stack? - https://www.linkedin.com/posts/brijpandeyji_job-security-in-it-its-a-myth-many-activity-7153074829598814211-GIBe?utm_source=share&utm_medium=member_desktop

68 Python notebook exercises for "Understanding Deep Learning " . Highlights include: -Play with decoding algorithms for LLMs
68 Python notebook exercises for "Understanding Deep Learning " . Highlights include: -Play with decoding algorithms for LLMs -Implement backpropagation algorithm -Explore double descent -Investigate implicit regularization -Reparameterization trick vs. REINFORCE -Build a 1D diffusion model -Explore post-hoc bias mitigation Read more on my linkedin - https://www.linkedin.com/posts/brijpandeyji_150x-faster-pandas-believe-it-no-code-activity-7150509032292720640-HU91?

58 Python notebook exercises for "Understanding Deep Learning " . Highlights include: -Implement backpropagation algorithm -Explore double descent -Investigate implicit regularization -Reparameterization trick vs. REINFORCE -Build a 1D diffusion model -Explore post-hoc bias mitigation

Dear friends, your support on LinkedIn means a lot to me. If you enjoy what I share, I'd appreciate your interaction with my posts – every like, comment, and share helps extend the reach of my content to a broader audience. Every bit of engagement counts! 🙏🙏

To gain expertise in Kafka, dive into these resources! They've been instrumental in my Kafka learning journey and I believe they'll be equally beneficial for you - Articles: https://engineering.linkedin.com/distributed-systems/log-what-every-software-engineer-should-know-about-real-time-datas-unifying Courses: Effective Kafka, which is basically the Kafka bible. Course by Gwen Shapira in O'Reilly media Udemy course from Stephane Maarek Websites: https://developer.confluent.io https://www.gentlydownthe.stream/ https://rmoff.dev/kafka101 YouTube Videos: https://youtube.com/playlist?list=PLYmXYyXCMsfMMhiKPw4k1FF7KWxOEajs

As an IT professional, having a solid understanding of the Linux file system structure and organization is a critical skill that can take your career to the next level.https://www.linkedin.com/posts/brijpandeyji_as-an-it-professional-having-a-solid-understanding-activity-7149049531060350976-PVxY?

Here are some free resources to learn Docker: Official Resources: Docker Documentation: https://docs.docker.com/ Docker Get Started: https://docs.docker.com/get-started/ Docker Labs: https://dockerlabs.collabnix.com/ Play with Docker: https://labs.play-with-docker.com/ Docker Hub: https://hub.docker.com/ Katacoda Labs: https://katacoda.com/ Docker Awesome: https://github.com/docker/awesome-compose Docker Cheat Sheet: https://devhints.io/docker Docker Blog: https://www.docker.com/blog/

Free Resources for End-to-End DevOps Learning: 🐧 𝗟𝗶𝗻𝘂𝘅: - The Linux Foundation: https://lnkd.in/epkP5dYQ - Linux Documentation: https://lnkd.in/eWNYW246 - Fedora Project: fedoraproject.org 🐍 𝗦𝗰𝗿𝗶𝗽𝘁𝗶𝗻𝗴: - Python: learnpython.org - Go: go.dev/tour - Automate with Python: automatetheboringstuff.com - Golang Bootcamp: https://lnkd.in/eSsK7KUG https://www.linkedin.com/posts/brijpandeyji_free-resources-for-end-to-end-devops-learning-activity-7145286847668056064-bzhA?