Good morning Good afternoon and Good evening πππ Y'ALLπ It has been a long day .Doing that fraud detection project takes 2 weeksπ€§π€§ but all went well and submitted successfully π with good commentπ€π€ The Journey will continue π π
π5β€2π1
Forwarded from MIKHEL
It's Finally Hereπ!
@Mikhelassistantbot
β’After weeks of planning, building, testing, and improving, my personal Telegram Assistant Bot is officially complete and live!
β’This bot first created and planned to plan and easily schedule my thing but later on i decided to expand it like to make it easier for people to learn about my work, services, projects, and social platforms all in one place.
What you can do with the bot: β’ View my services β’ Access my social media links β’ Learn more about my journey and work β’ Stay connected with future updates
β’Building this bot has been an amazing learning experience, and I'm grateful to everyone who followed the journey and supported the process from start to finishπ.
π€ Try the bot and let me know what you think!
Thank you for being part of this journey.
@Mikhel_W
@Mikhelassistantbot
β’After weeks of planning, building, testing, and improving, my personal Telegram Assistant Bot is officially complete and live!
β’This bot first created and planned to plan and easily schedule my thing but later on i decided to expand it like to make it easier for people to learn about my work, services, projects, and social platforms all in one place.
What you can do with the bot: β’ View my services β’ Access my social media links β’ Learn more about my journey and work β’ Stay connected with future updates
β’Building this bot has been an amazing learning experience, and I'm grateful to everyone who followed the journey and supported the process from start to finishπ.
π€ Try the bot and let me know what you think!
Thank you for being part of this journey.
@Mikhel_W
β€2
TIKVAH-SPORT
α¨α¨αα³ α α°ααα ! 4:00 αα¨αα³α α¨ α΄ααα @tikvahethsport @kidusyoftahe
I have a gut feeling that France π«π· will win this world cup.ππ to get revenge for the previous one they missed ππ
π€£1
TIKVAH-SPORT
α¨α¨αα³ α α°ααα ! 4:00 αα¨αα³α α¨ α΄ααα @tikvahethsport @kidusyoftahe
The second half started π΄π΄π΄
It is hard to guess who will win
Good night famπ«‘π«‘
It is hard to guess who will win
Good night famπ«‘π«‘
π«‘πNew challenge this week!
Building a Retrieval Augmented Generation (RAG) system that can answer questions from customer complaint data using semantic search and LLMs.
The goal is to transform thousands of customer complaints into meaningful insights that help teams better understand customer pain points.
This week project will lead me to learn more about vector databases, embeddings, retrieval systems, and AI-powered question answering.
πDAY 1
#AI #RAG #MachineLearning #LLM #GenerativeAI
Building a Retrieval Augmented Generation (RAG) system that can answer questions from customer complaint data using semantic search and LLMs.
The goal is to transform thousands of customer complaints into meaningful insights that help teams better understand customer pain points.
This week project will lead me to learn more about vector databases, embeddings, retrieval systems, and AI-powered question answering.
πDAY 1
#AI #RAG #MachineLearning #LLM #GenerativeAI
β€2
Here is the real Leoππ½βπΏ
https://t.me/leotriesdesign/787
https://t.me/leotriesdesign/787
Telegram
Leo Design (Non - Design)
@leotriesdesign
β€3
As always well said π€πΎ and noted !βπΏ
https://t.me/selfmadecoder/4154
https://t.me/selfmadecoder/4154
Telegram
Tech Nerd
Most people wonβt see the vision in the beginning. not because theyβre against you, but because they can only judge what already exists.
They see your current skills, your current results, and your current circumstances. From that, they form an opinion ofβ¦
They see your current skills, your current results, and your current circumstances. From that, they form an opinion ofβ¦
β€2
Simret.exe
π«‘πNew challenge this week! Building a Retrieval Augmented Generation (RAG) system that can answer questions from customer complaint data using semantic search and LLMs. The goal is to transform thousands of customer complaints into meaningful insights thatβ¦
This phase needs a deep understanding of the setup you really have to know which packages to install and how to balance dependencies if you don't want to cry later! π
The next step is running EDA on a massive customer complaint dataset across credit cards, personal loans, and money transfers. I hope it isnβt going to be too hard! π€βοΈ
Good night everyone! π΄β¨
The next step is running EDA on a massive customer complaint dataset across credit cards, personal loans, and money transfers. I hope it isnβt going to be too hard! π€βοΈ
Good night everyone! π΄β¨
β€2
β¨Today's New concept
Approximate Nearest Neighbor (ANN) algorithms make similarity search much faster by finding vectors that are close enough to the nearest neighbors without checking every vector in the database.
#DAY2 of the project
Approximate Nearest Neighbor (ANN) algorithms make similarity search much faster by finding vectors that are close enough to the nearest neighbors without checking every vector in the database.
#DAY2 of the project
π₯3
Word of the day π«°
https://t.me/abroid0/408
https://t.me/abroid0/408
Telegram
Abroid ΓΔv
one of my favorite movie scenes of all time is from "The Pursuit of Happyness".
during an interview, he says:
i'm the type of person, if you ask me a question and i don't know the answer, i'm gonna tell you that i don't know. but i bet you what: i knowβ¦
during an interview, he says:
i'm the type of person, if you ask me a question and i don't know the answer, i'm gonna tell you that i don't know. but i bet you what: i knowβ¦
Forwarded from Yohannes Haile (Yohannes Haile)
βThe undocumented life is not worth livingβ
β Socrates, Influencer
β Socrates, Influencer
π2
This shows mom's resilience has no limits.β€οΈβ€οΈ still she is young but she achieve her dreams
β€5
π«‘Project update on #DAY2
I have been working on :
Loading & explored 9.6 million real CFPB customer complaintsπ€§π€§π€§
Analyzed complaint distribution across 21 product categories
Built a text cleaning pipeline (boilerplate removal, normalization)
Set up CI/CD with GitHub Actions β 7 tests passing β
Next up: building the embedding pipeline to turn these complaints into searchable AI vectors! π₯
It seems easy but it is not.It needs careful consideration of the data.
I have been working on :
Loading & explored 9.6 million real CFPB customer complaintsπ€§π€§π€§
Analyzed complaint distribution across 21 product categories
Built a text cleaning pipeline (boilerplate removal, normalization)
Set up CI/CD with GitHub Actions β 7 tests passing β
Next up: building the embedding pipeline to turn these complaints into searchable AI vectors! π₯
It seems easy but it is not.It needs careful consideration of the data.
β€4
Good night famsπ€π«‘
Don't forget to restβΊοΈπ
Let us say this word of the night βΊοΈβΊοΈπ
https://t.me/Luna_moonmam/2793
Don't forget to restβΊοΈπ
Let us say this word of the night βΊοΈβΊοΈπ
https://t.me/Luna_moonmam/2793
Telegram
Luna's pathwayπ€
For the people who struggle alone.
For the people who carry responsibilities nobody sees.
For the people who take the blame to protect others.
For the people who stay silent while their efforts go unnoticed.
For the people who hold teams together whileβ¦
For the people who carry responsibilities nobody sees.
For the people who take the blame to protect others.
For the people who stay silent while their efforts go unnoticed.
For the people who hold teams together whileβ¦
β€1