Hii.. it can be possible that i detect solution from log.. like ex.. Error logs popup -> human solved that error -> We detect solution using after logs of getting error.. and save into DB.. I don't know if i can detect or not.. if someone done or doing this type of problem then plz let me know.. and also i used GPT and Cloude to solve this problem. but they always gives me wrong or impossible facts..
Hi.. Im building simple rag. in that i used Docling to process PDF. but Docling is heavy. and i have 8 GB ram.. so OOM issue occurred. pdf failed to process. after that i devided pdf into 2-3 pages. u can think like i create 2 pages batch using py PDF.. and it works. but do u think is this right way ?. i don't know it is right or wrong. and while 2 page batches there is some batches failed to process bcz of OOM.. what should i do ? i wanna deploy it too on AWS. if this is my computer level isuue then there not might be the issue in production. but whithout testing and evaluating how can i deploy?.. 😮💨 multiple issues..
Hello, Im AI engineer working in startup. (Which have 3-4 company name. I mean they registered 3-4 company instead of 1).. Now when i join that company during the insternship they Put me in "A" and after Completion of internships they offer me full time job.. but Full time job in "B" company.
Now office is same, CEO, HR, other employee and work all r same.. just company name different.. so tell me how can i mention that in my resume.. if i mention 2 company name then it will look like i switched company. Or should i menrion only one company in both Intership + Job.. what should i do ?
Hey guys, I wanted to share a struggle I’ve been dealing with lately. I was building a RAG project that uses PostgreSQL and Redis for the database, FastAPI for the backend, and Next.js/React for the frontend. Since I’m an AI/ML engineer with about 8 months of experience, my backend skills are pretty solid, but I had literally zero knowledge of frontend development. I ended up having AI help me build the frontend while I coded the backend myself, and managed to connect everything through FastAPI.
To top it all off, I dockerized the whole stack—frontend, backend, Redis, and PostgreSQL—using Docker Compose, and everything ran smoothly locally.
Then came the deployment phase on AWS. While I have a basic grasp of EC2, my knowledge of ECS, ECR, and cloud databases was basically zero. For the last 6 to 7 days, it’s been a painful loop of:
Learn -> Deploy -> Get a beautiful error or service crash -> Learn again -> Re-deploy -> Get another wonderful error.
Finally, last night, I thought I had everything configured. But when I ran it, a port mismatch error popped up where the frontend couldn't talk to the backend. Fixing that led me all the way down the rabbit hole of setting up an Application Load Balancer (ALB).
It’s been an exhausting 7-8 days just fighting deployment, and it's still not fully live. I know I'll figure it out today or tomorrow, but I have to ask—is spending this much time on deployment normal, or do I need to skill up more in DevOps?