Enrolled in #100DaysOfCode
Wrapped up the “Prototype to Production” module of the 5-Day AI Agents Intensive.
– Studied the deployment lifecycle for agentic systems
– Explored Agent2Agent communication from kaggle codelab
#Ai
#MachineLearning
Wrapped up the “Prototype to Production” module of the 5-Day AI Agents Intensive.
– Studied the deployment lifecycle for agentic systems
– Explored Agent2Agent communication from kaggle codelab
#Ai
#MachineLearning
Today's focus was on ensuring the quality of AI agents through observability and evaluation.
Completed the codelab on implementing observability to debug agents and evaluating agents.
#AI
#MachineLearning #Observability
#Evaluation
Today's focus was on ensuring the quality of AI agents through observability and evaluation.
Completed the codelab on implementing observability to debug agents and evaluating agents.
#AI
#MachineLearning #Observability
#Evaluation
- Studied the whitepaper: “Context Engineering: Sessions, Memory”
-Completed two codelabs from kaggle :
-Day 3a: Built stateful agents that persist context through multi-turn interactions.
-Day 3b: Integrated memory for personalization and long-term coherence
- Studied the whitepaper: “Context Engineering: Sessions, Memory”
-Completed two codelabs from kaggle :
-Day 3a: Built stateful agents that persist context through multi-turn interactions.
-Day 3b: Integrated memory for personalization and long-term coherence
Completed the assighnment of day 2 of 5-Day AI Agents Intensive training .
Explored about the model context protocol and have hands on coding in kaggle .
Completed the assighnment of day 2 of 5-Day AI Agents Intensive training .
Explored about the model context protocol and have hands on coding in kaggle .
First day of 5-Day AI Agents Intensive course by google X kaggle
- Built my first AI agent and a mini multi-agent system using Gemini + ADK 🤖
- Studied the white paper about agentic ai with the help of notebook lllm .
#100DaysOfCode #AI #Gemini #Kaggle
First day of 5-Day AI Agents Intensive course by google X kaggle
- Built my first AI agent and a mini multi-agent system using Gemini + ADK 🤖
- Studied the white paper about agentic ai with the help of notebook lllm .
#100DaysOfCode #AI #Gemini #Kaggle
Today I dove into the world of neural network classification with two tangled circles of data .
Built a neural net, trained it, and watched as it slowly learned to untangle the chaos.
Still of low accuracy of just 50% , i shall see , how can i improve this tomorrow .
Today I dove into the world of neural network classification with two tangled circles of data .
Built a neural net, trained it, and watched as it slowly learned to untangle the chaos.
Still of low accuracy of just 50% , i shall see , how can i improve this tomorrow .
Learned about neural network classification — how layers, activations, and outputs work to predict categories like spam vs not spam or dog , cat and cow through binary classification and multi-class classification.
#MachineLearning #DeepLearning
Learned about neural network classification — how layers, activations, and outputs work to predict categories like spam vs not spam or dog , cat and cow through binary classification and multi-class classification.
#MachineLearning #DeepLearning
Made my hand dirty with some data visualization technique of line graph, barchart, scatter plot , regplot, etc .
Made my hand dirty with some data visualization technique of line graph, barchart, scatter plot , regplot, etc .
Today I learned over- fitting and underfiitung of Ml model on DecisionsTreeRegression algorithm.
Moreover, practised the vectorization of function in python to pass the whole array and get results in array for a function.
Today I learned over- fitting and underfiitung of Ml model on DecisionsTreeRegression algorithm.
Moreover, practised the vectorization of function in python to pass the whole array and get results in array for a function.
Loading my first machine learning model ....
What I did :
-knowing columns of dataset
- Extracting data columns from dataset (of our intuition) in dataframe
- Specify model with decisions tree regressor from sklearn
- fitting the model
-making my first prediction
Loading my first machine learning model ....
What I did :
-knowing columns of dataset
- Extracting data columns from dataset (of our intuition) in dataframe
- Specify model with decisions tree regressor from sklearn
- fitting the model
-making my first prediction
Just wondered why I have not known about pandas library till date.
Learning machine learning is a fun .
data = pd.load()
data.describe()
Just wondered why I have not known about pandas library till date.
Learning machine learning is a fun .
data = pd.load()
data.describe()
No coding for today
Just opened the account on kaggle and does basic exploring to speed up machine learning journey.
It seems I am spending more time on sharpening axe rather than using it to chop trees.
No coding for today
Just opened the account on kaggle and does basic exploring to speed up machine learning journey.
It seems I am spending more time on sharpening axe rather than using it to chop trees.
So I am back with my #100DaysOfCode journey.
Day 6/100 :
Created tested and used the automated script in browser console of linkedin connection page to send connections without note to people shown on that page which aren't previously in my connection list.
So I am back with my #100DaysOfCode journey.
Day 6/100 :
Created tested and used the automated script in browser console of linkedin connection page to send connections without note to people shown on that page which aren't previously in my connection list.
Competitors, alternatives, employees, customers, the economy, epidemics, and other things whose identities are also unpredictable.
So you can never stop talking to customers or rethinking strategy.
Competitors, alternatives, employees, customers, the economy, epidemics, and other things whose identities are also unpredictable.
So you can never stop talking to customers or rethinking strategy.
Refactored Kairo's package structure by consolidating code from `com.quicktasks` to `com.example.quicktasks`. Check it out: [PR ref="/hashtag/2%5D(https:%2F%2Fgithub.com%2Fsocimorobles%2FKairo%2Fpull%2F2" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#2](https://github.com/socimorobles/Kairo/pull/2)
Refactored Kairo's package structure by consolidating code from `com.quicktasks` to `com.example.quicktasks`. Check it out: [PR ref="/hashtag/2%5D(https:%2F%2Fgithub.com%2Fsocimorobles%2FKairo%2Fpull%2F2" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link">#2](https://github.com/socimorobles/Kairo/pull/2)
Though the concept of password manager is huge , I made simplified version that is run just on command line by asking user name and password and save them in the encrypted form.
This adds my knowledge of file handling and encryption decryption in python .
Though the concept of password manager is huge , I made simplified version that is run just on command line by asking user name and password and save them in the encrypted form.
This adds my knowledge of file handling and encryption decryption in python .
My pR for #hacktoberfest get approved and merged.
Today's just designed the adventure of games using python.
Instead of general procedural programming, I implemented the object oriented approach.
My pR for #hacktoberfest get approved and merged.
Today's just designed the adventure of games using python.
Instead of general procedural programming, I implemented the object oriented approach.
Just discovered about #hacktoberfest and submitted my pull request for app intro.
Just discovered about #hacktoberfest and submitted my pull request for app intro.
Day 1/ 100
Today I learned to build my own model in pytorch and train and improve it with the help of optimizer, loss function and training loop.
Day 1/ 100
Today I learned to build my own model in pytorch and train and improve it with the help of optimizer, loss function and training loop.
We automate the version control in the project with the help of kiro .
We prompt kiro to create the hook that gets activated when the tasks is completed in tasks md file and commit in the project with the message of tasks .
This was awesome .
@Kirodotdev.bsky.social
We automate the version control in the project with the help of kiro .
We prompt kiro to create the hook that gets activated when the tasks is completed in tasks md file and commit in the project with the message of tasks .
This was awesome .
@Kirodotdev.bsky.social
We automate the version control in the project with the help of kiro .
We prompt kiro to create the hook that gets activated when the tasks is completed in tasks md file and commit in the project with the message of tasks .
This was awesome .
@kirodoto.bsky.social
@Kirodotdev.bsky.social
We automate the version control in the project with the help of kiro .
We prompt kiro to create the hook that gets activated when the tasks is completed in tasks md file and commit in the project with the message of tasks .
This was awesome .
@kirodoto.bsky.social
@Kirodotdev.bsky.social