Bal Balaji’s Post

Tune in to this on-demand #VMwareExplore session to learn how to maximize edge-native applications using Spring and OpenVino for #AI machine learning, #Kubernetes for container management and #RabbitMQ for messaging and streaming. ▶️ Press play! https://bit.ly/4a1biMx

Run your streaming usecases on Databricks!!! Join us for a deep dive into the most powerful streaming data platform on the planet. We’ll cover topics like -Shocking new latency benchmarks for UC-enabled serverless streaming pipelines -New stateful processing capabilities including transformWithState and State Reader APIs -The new Apache Pulsar connector -Structured Streaming x DLT Pipelines roadmap #Databricks #DAIS24

I just tried Groq and its response time is the fastest I have ever seen with any LLM's. It's super fast. It's based on the Tensor Streaming Architecture TSP AI is close to becoming real-time and we can have AI applications that respond to user input in real-time. Check out more about Groq.com #groq #LLMs #AI #ML #TSP

Business agility for transformation is stifled by legacy approaches to how data is captured, processed and distributed across the enterprise... The Data Streaming Platform is the solution to this problem. Accelerating time to value of governed, reusable, data products. Confluent's Global Tour connects you with neighbouring companies and peers to learn how they are using Data Streaming Platform for transformation. #datastreaming #kafka #flink #datainmotion

Openlayer lets you easily create multiple inference pipelines to monitor your data, so that you can keep track of requests no matter where they come from. You can start with one of our streamlined approaches for common AI patterns and frameworks (e.g. OpenAI LLMs, LangChain, multi-step RAG systems), or use use your own custom system by streaming data to Openlayer. Our docs walk you through how to get started: https://lnkd.in/e_Uvq2Gq

In our latest publication on The New Stack, Georgina Tryfou explains how Gcore leverages event-driven architecture (EDA) to enhance system responsiveness, scalability, and flexibility for AI tasks like video subtitle generation. Get a behind-the-scenes walkthrough of how and why the Gcore Video Streaming team uses EDA for AI workflows. In editing this, my goal was to make EDA's benefits understandable to every reader, even with the more complex AI workflow story in the foreground. Have a read and let me know if Georgina and I managed it... 👀 https://lnkd.in/dV6EHGmD

What do you get when you learn from the innovations and user experience of Netflix? GIBLIB, the Netflix of CME. Learn what they have to offer. #AI GIBLIB https://lnkd.in/eUAP32Rm

Mistral AI function calling is coming to #LangChain4j for next version (0.29.0 probably) 🦜 ☕ Function calling allows Mistral chat models (sync & streaming) to connect to external tools (DB, services, etc) to enrich final response. https://lnkd.in/eTgPXV5G

EPS Global and Aviz Networks, in association with PhoenixNAP & World Wide Technology, invite you to our FREE bootcamp for SONiC. Attend our bootcamp by expert engineers and learn: • Pre & Post-Deployment tips & tricks • How to upgrade your network and save by replicating hyperscaler successes • How to resolve network congestion • Why SONiC is key to optimal AI networks • How generative AI enables new possibilities for NetOps #bootcamp #sonic #opennetworking #opennos #generativeai #netops