Applied AI Engineering - Backend - Part 3 скачать в хорошем качестве

Applied AI Engineering - Backend - Part 3

Applied AI Engineering is a red hot subject in Software engineering and in this video and in this video series, I will be explaining, how to get into this field to create Applied AI products and provide value to our users with the technical concepts we have learnt till now. In this video I have mentioned how you can implement the backend for you Applied AI Engineering product in a brief way (as explaining every feature and tools I have used and might use will take multiple hours and even this video is 50+ minutes long lol). I have explained how you can implement llm inference, data engineering to stream data into your database etc. 00:00 – Intro: Backend for AI Engineering Concepts 00:41 – What This Video Covers: GPU Inference, VLLM, MLOps, Embeddings 01:20 – Second Brain Labs Overview (Not Sponsored) 02:31 – Manual Sales vs AI Agent Automation 04:25 – WhatsApp for India: Why It's the Key Channel 05:33 – How SLB Automates Campaigns with AI 07:24 – Coupon Tracking with Stripe and Lead Attribution 09:18 – Behind the Scenes: How They Might Have Built It 10:25 – Hosting Open-Source LLMs with VLLM + Model.com 12:32 – Deploying AI APIs Like Traditional Web Servers 15:18 – Why Self-Hosting Beats OpenAI for Enterprises 17:21 – GPU Ownership vs Cloud Inference (3 Options) 20:04 – Real Enterprise Pitch: Private LLMs for Security 22:29 – Ingesting Data into AI Agents: Knowledge Base + Leads 25:03 – Data Engineering with ETL and Streaming 28:10 – Scalable Fan-Out Architecture for Real-Time AI 29:53 – Netflix Case Study: ML + RAG Pipelines 31:14 – Embeddings + Vector DBs: Making Agents Smart 34:35 – Querying Lead Data via Vector Search 36:31 – Business Logic: Timing Personalized Outreach 39:02 – Conversions Powered by AI Agents (SLB Example) 41:21 – Agents Work 24x7 Across Timezones 44:23 – Sales Cost vs AI Agent ROI 46:55 – Upload, Connect, Automate: Product Simplicity 48:52 – Embedding Dimensions & Vector Tradeoffs 50:00 – Trufy Case Study: Fraud Detection with AI Agents 53:34 – Governments Use Agents Too: Time + Value 54:42 – Final Thoughts: Real Companies, Real Use Cases ----- Links mentioned in the video: Terrific resource to start - https://janvikalra.substack.com/p/how... Understanding AI - https://leerob.com/ai Agno AI Agents - https://docs.agno.com/introduction Second Brain Labs - https://secondbrainlabs.com/ (The product which we are going through in the video to understand how they MIGHT have implemented the Automated Sales AI Agent to provide value to their customers) Hugging face: https://huggingface.co/docs/transform... Inference Providers Modal: https://modal.com/ Cerebrium: https://www.cerebrium.ai/ Together AI: https://www.together.ai/ vLLM Inference to host the open source AI modals: https://docs.vllm.ai/en/latest/ AJVC Funded Startups: https://www.ajuniorvc.com/portfolio-c... (I have explained how they MIGHT have used the concepts mentioned in the video to created AI Agents to provide value to their customers) ----- You can email me at for further queries: [email protected] You can find the source codes for my videos in topmate: https://topmate.io/gautham If you have any other questions, please leave it in the comments or contact me via Twitter (X) over DM's. Here is my Twitter (X) profile: https://x.com/gautham_vijay_