Many early carefully hand-crafted software code optimizations became irrelevant as CPUs became faster and better. Similarly, many early optimizations in AI apps were meant to circumvent the limitations of LLM context window sizes. As the context windows have expanded, many applications can now stuff them with all possible context and find a good enough answer in most cases. While this is true for coding scenarios as well, we do see that having a large context window is helpful but not sufficient for large enterprise codebases. This is where global search and graph retrieval techniques help produce accurate results. This blog post from Beyang Liu, written in partnership with Google, explains in detail - https://lnkd.in/ghxn8twF
Raman Sharma’s Post
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In this tutorial, we’ll explore building a screen parsing agent using GPT-4o and OmniParser. Our goal is to demonstrate locking a computer, specifically a MacOS device, using this agent. https://lnkd.in/gWssa-MS #agenticai #omniparser #llm #automation #productivityhack #gpt4o
Build a Screen Parsing with GPT-4o Vision and OmniParser
djajafer.medium.com
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Do you work with Basler cameras and the Pylon SDK? Our camera isolation library allows you to decouple the Pylon library from your application, enabling the use of Address Sanitizers for improved debugging and error detection. The code is open source and available under a BSD (3-clause) license, making it free for commercial use. Learn more and access the library https://lnkd.in/dEMjfSUe
Open-Source & Gitlab Access - Senslogic
senslogic.de
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Data Analyst with extensive marketing experience | Python, PostgreSQL, Excel, Tableau, Marketing and E-commerce
🚀 Successfully Deployed My Conflict Data Analysis Application on Fly.io! 🚀 After weeks of hard work, I finally launched my interactive Dash app that visualizes conflict data from 1989-2023, including types of violence, geographical distributions, and mortality statistics. 🗺️📊 Challenges: - Implemented dynamic filters for years, regions, and violence types Optimized Dockerfile and Fly.io deployment process Faced numerous deployment hurdles but replaced Gunicorn with Flask for a more reliable setup Takeaway: Persistence pays off! 💪 Check out the live project here: https://lnkd.in/d7md5FwD
A Public Cloud Built For Developers Who Ship
fly.io
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Check out Certiface AntiSpoofing for spotting fake faces in videos, available on GitHub! This project uses oneAPI to decode video and liveness detection inferencing with heterogeneous computing: https://intel.ly/44ABV8Y #Developer #ArtificialIntelligence #oneAPI
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Digital Project Coordinator / Project Manager / Scrum Master, Delivery Manager, CX/UX Strategist, Migration Specialist, Content Manager / Designer, Web Producer, QA, Accessibility Champion, SEO | 10+ yrs experience
#WebPerf #SiteSpeed #PageLoad Annotations are coming to Chrome DevTools performance trace, which will make it easier to discuss site speed issues with your team not having to rely on messy annotated screenshots This feature will land in Chrome 131, which becomes the stable version on November 12th. #WebDev #DevTools
Annotations are coming to the Chrome DevTools performance trace! Discuss page speed issues with your team without messy annotated screenshots. https://lnkd.in/eRs5FqHq
How To Annotate A Chrome DevTools Performance Trace | DebugBear
debugbear.com
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Check out my new Medium article! This time we develop an end-to-end LLM application that will ask questions about the text and check our answers - like a tool for teachers to test kids' knowledge or a tool for rehearsing and memorizing materials. It is a simple application, but we will work with LLM on a deeper level: understand the concept of context, learn how to tweak prompts to get the results that we want, and how to integrate LLM with conventional application logic. The tutorial uses a lightweight model, so it will work on most laptops and PCs. However, if you want to try a bigger model - give a shot to our GPU rental service:
How to develop your first LLM app? Context and Promptengineering
medium.com
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Have you tried Google's Code Gemma, an advanced LLM for code generation, completion, math and reasoning? ✨ ➡️ https://nvda.ws/458cdc3 Experience Gemma, performance optimized with NVIDIA #TensorRT-LLM and powered by NVIDIA NIM, for 🌟 free on our API Catalog. Google for Developers
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Top 5 System Design Tutorials by @alexyubyte 0. ByteByteGo - https://bit.ly/3P3eqMN 1. YouTube Design Tutorial - https://bit.ly/3bbNnAN 2. Chat system - https://bit.ly/3SbA9Eu 3. Scalability - https://bit.ly/3C17oTN 4. System Design Framework - https://bit.ly/3C4rRXI
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Network / Telecommunications Engineer • Software Developer • Go • Typescript • PHP • HTMX • Javascript • Powershell • HTML • CSS
Do I hear GPU support ? "Go continues to support high-performance, large-scale production workloads for the next 15 years, we need to adapt to large multicores, advanced instruction sets, and the growing importance of locality in increasingly non-uniform memory hierarchies" - Reading that, It's easy to to think (hope) that generating code targeted for GPU cores might be in the works. Considering Go's concurrency support and ability to compile to multiple operating systems and processor architectures, the future of #Golang could be very interesting.
Go Turns 15
go.dev
