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Code with Brij

Code with Brij

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📈 Análisis del canal de Telegram Code with Brij

El canal Code with Brij (@codewithbrij) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 13 981 suscriptores, ocupando la posición 9 153 en la categoría Tecnologías y Aplicaciones y el puesto 2 741 en la región Malasia.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 13 981 suscriptores.

Según los últimos datos del 29 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -149, y en las últimas 24 horas de -9, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 10.66%. Durante las primeras 24 horas tras publicar, el contenido suele obtener N/A% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 0 visualizaciones. En el primer día suele acumular 0 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 0.

📝 Descripción y política de contenido

No se ha proporcionado la descripción del canal.

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 30 junio, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Tecnologías y Aplicaciones.

13 981
Suscriptores
-924 horas
-377 días
-14930 días
Archivo de publicaciones
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?