Dimri
@DimriLogic
Tech consultant, problem-solver, and runner. Sharing my journey and lessons learned. Happy to mentor new talent in IT.
LLM evaluation framework - DeepEval - deepeval com use case : "the ones digit of 16*27*38 is ?" test - is the response right ? Tech: Develop : LLM - llama3.2:1b Testing : Deep eval - used OpenAI(used gpt model)
AWS SERVICES All apps or solutions should say that if aws is up, then we are live. Otherwise, our code is helpless!
It's good to be available n responsive! The trouble starts when ppl start calling 📞 you when a chat or email would have been faster
Looking at the burn rate , I feel confident that the run rate will be similar to the burn rate 👌
My daily view is to see what tasks I or my team do manually and automate it
udemy.com/share/10dVXl/ learning AI can't be better than this 😀
Happy to announce that 100% of our courses are now a part of Udemy for business. They are adding tremendous value to corporate as we can see millions of minutes getting consumed every week. We have so much more in pipeline but break ke baad. Ye month chill krenge, travel…
Happy to announce that 100% of our courses are now a part of Udemy for business. They are adding tremendous value to corporate as we can see millions of minutes getting consumed every week. We have so much more in pipeline but break ke baad. Ye month chill krenge, travel…
When multiple teams are involved, like the front-end(delivers user experience),api(managing authentication ,authorization, and data), and source ( support filtered data). FOR successful solutions, these cross functional teams have regular cadence otherwise 🙄?
Does audio break for you on X's space ? For me, many times.
0 vote · Final results
Consulting 101: Love to work with leaders who know their roadmap and share. This helps in decision-making and alignment. Example Small user base ,limited features| action MVP Another set of user base, common + new features| enhance MVP + infra Large user base | scaled system
Lesson learned!! We can have a decent solution design and to ensure that what we are really building 👷♂️ - get actual solution validated. Thinking ahead and assumptions don't deliver working products unless validated.
Gpt-5 or any ai model is not the answer for all types of solutions n algorithm. Use these intelligent Solution/model to the right use case. how many times does the model spit the code that can't be run in that state? again, back to core, think about Solution first, not ai model
Token management is a new gig now! Based on models, manage Token count, which one ? Prompt Token count - ex 10 Response Token count - ex 5 Thought/processing Token - 20 So total tokens consumed are 35 If the app is not efficient on tokens better the user be!
Sorry 😞! Stop using LLMs to duct-tape complex loops! It’s a lazy fix for bad algorithms/patterns. solution Logic isn’t AI’s job—it’s ours. Build smarter, not short cuts.
In a conversation, asked if we have 1 day/8 hours, n ensure we have good quality what we should do ? Answer 1. Spot check 2. Run Regression 3. Check critical flows 4. Trust ur process - confidence on steps that have been executed
Good trainer n good plan executors are different skills. I can be later, but not the former one. Which one are you? Tbh - having both is rare.
The fastest way to step up is when someone puts a paper, years of experience, and knowledge ; hand over happens in 2 weeks.
Wow! It's not about planning all the time. Sometimes, creative execution. I was engaged on Friday on work to be must done in 2 weeks. Coming on Monday, I need to pull the team to get it out of the door. The weekend is for ideas , options analysis, and critical path. Cheers 🍻
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