DEV Community: rahul d

writer in GeeksforGeeks

rahul d — Fri, 04 Apr 2025 04:01:01 +0000

Introducing Llama 3.3

The model is available to be downloaded from Meta’s website and on Hugging Face, an online model repository. Oracle Cloud Infrastructure (OCI) Data Science is a platform for data scientists and developers to work with open source models powered by OCI’s compute infrastructure with features that support the entire machine learning lifecycle. You can bring in Llama 3.3 70B Instruct from either Hugging Face or Meta to use inside OCI Data Science. OCI Data Science offers AI Quick Actions, a no-code
solution for customers to seamlessly manage, deploy, fine-
tune, and evaluate large language models inside our
platform.

I strongly believe, growing as a community is more important than growing as an individual. Let us make it simple, if I share my knowledge about statistics topic in a community, machine learning enthusiast will use it for a different purpose whereas someone who is working on IoT project uses it in a different way

AI Quick Actions

You can access AI Quick Actions from a Data Science notebook
AI Quick Actions, see About AI Quick Actions
AI Quick Actions has a Hugging Face integration

AI Quick Actions One

Healthcare organizations handle large volumes of sensitive data
HIPAA and HITECH regulations
workflows across departments

The importance of access

Healthcare organizations handle large volumes of sensitive data on a regular basis. With growing cyber threats, regulatory requirements, such as HIPAA and HITECH regulations, and complex workflows across departments, managing access to patient data is crucial.

Integration with Oracle Health EHR

Visibility into who has access
- Automated access controls
- Role and policy management
- Access request
Compliance auditing
Risk analysis

Approach to managing user access across

Enhanced security
1. Streamlined onboarding and offboarding
2. Dynamic access control
3. Time and cost efficiency
Compliance management

Model

class BlogCategory(models.Model):
        name = models.CharField(max_length=100, unique=True)
        description = models.TextField(blank=True, null=True)
        slug = models.SlugField(max_length=100, unique=True, blank=True)
        created_at = models.DateTimeField(auto_now_add=True)
        updated_at = models.DateTimeField(auto_now=True)

        def save(self, *args, **kwargs):
            if not self.slug:
                self.slug = slugify(self.name)  
            super().save(*args, **kwargs)

        def __str__(self):
            return self.name

My experience as technical content

rahul d — Fri, 04 Apr 2025 03:46:37 +0000

Introducing Llama 3.3

AI Quick Actions

You can access AI Quick Actions from a Data Science notebook
AI Quick Actions, see About AI Quick Actions
AI Quick Actions has a Hugging Face integration

AI Quick Actions One

Healthcare organizations handle large volumes of sensitive data
HIPAA and HITECH regulations
workflows across departments

The importance of access

Integration with Oracle Health EHR

Visibility into who has access
- Automated access controls
- Role and policy management
- Access request
Compliance auditing
Risk analysis

Approach to managing user access across

Enhanced security
1. Streamlined onboarding and offboarding
2. Dynamic access control
3. Time and cost efficiency
Compliance management

Model

class BlogCategory(models.Model):
        name = models.CharField(max_length=100, unique=True)
        description = models.TextField(blank=True, null=True)
        slug = models.SlugField(max_length=100, unique=True, blank=True)
        created_at = models.DateTimeField(auto_now_add=True)
        updated_at = models.DateTimeField(auto_now=True)

        def save(self, *args, **kwargs):
            if not self.slug:
                self.slug = slugify(self.name)  
            super().save(*args, **kwargs)

        def __str__(self):
            return self.name

Once the Java Sustaining

rahul d — Thu, 03 Apr 2025 10:56:30 +0000

Introducing Llama 3.3

AI Quick Actions

You can access AI Quick Actions from a Data Science notebook
AI Quick Actions, see About AI Quick Actions
AI Quick Actions has a Hugging Face integration

AI Quick Actions One

Healthcare organizations handle large volumes of sensitive data
HIPAA and HITECH regulations
workflows across departments

The importance of access

Integration with Oracle Health EHR

Visibility into who has access
- Automated access controls
- Role and policy management
- Access request
Compliance auditing
Risk analysis

Approach to managing user access across

Enhanced security
1. Streamlined onboarding and offboarding
2. Dynamic access control
3. Time and cost efficiency
Compliance management

Model

class BlogCategory(models.Model):
        name = models.CharField(max_length=100, unique=True)
        description = models.TextField(blank=True, null=True)
        slug = models.SlugField(max_length=100, unique=True, blank=True)
        created_at = models.DateTimeField(auto_now_add=True)
        updated_at = models.DateTimeField(auto_now=True)

        def save(self, *args, **kwargs):
            if not self.slug:
                self.slug = slugify(self.name)  
            super().save(*args, **kwargs)

        def __str__(self):
            return self.name

To learn more about AI Quick Actions

rahul d — Wed, 02 Apr 2025 08:22:25 +0000

Introducing Llama 3.3

AI Quick Actions

You can access AI Quick Actions from a Data Science notebook
AI Quick Actions, see About AI Quick Actions
AI Quick Actions has a Hugging Face integration

Model

class BlogCategory(models.Model):
        name = models.CharField(max_length=100, unique=True)
        description = models.TextField(blank=True, null=True)
        slug = models.SlugField(max_length=100, unique=True, blank=True)
        created_at = models.DateTimeField(auto_now_add=True)
        updated_at = models.DateTimeField(auto_now=True)

        def save(self, *args, **kwargs):
            if not self.slug:
                self.slug = slugify(self.name)  
            super().save(*args, **kwargs)

        def __str__(self):
            return self.name

OCI Data Science enables customers to work

rahul d — Wed, 02 Apr 2025 08:21:23 +0000

Introducing Llama 3.3

AI Quick Actions

You can access AI Quick Actions from a Data Science notebook
AI Quick Actions, see About AI Quick Actions
AI Quick Actions has a Hugging Face integration

Model

class BlogCategory(models.Model):
        name = models.CharField(max_length=100, unique=True)
        description = models.TextField(blank=True, null=True)
        slug = models.SlugField(max_length=100, unique=True, blank=True)
        created_at = models.DateTimeField(auto_now_add=True)
        updated_at = models.DateTimeField(auto_now=True)

        def save(self, *args, **kwargs):
            if not self.slug:
                self.slug = slugify(self.name)  
            super().save(*args, **kwargs)

        def __str__(self):
            return self.name

The next evolution of artificial intelligence

rahul d — Wed, 02 Apr 2025 08:19:31 +0000

Introducing Llama 3.3

AI Quick Actions

You can access AI Quick Actions from a Data Science notebook
AI Quick Actions, see About AI Quick Actions
AI Quick Actions has a Hugging Face integration

Model

class BlogCategory(models.Model):
        name = models.CharField(max_length=100, unique=True)
        description = models.TextField(blank=True, null=True)
        slug = models.SlugField(max_length=100, unique=True, blank=True)
        created_at = models.DateTimeField(auto_now_add=True)
        updated_at = models.DateTimeField(auto_now=True)

        def save(self, *args, **kwargs):
            if not self.slug:
                self.slug = slugify(self.name)  
            super().save(*args, **kwargs)

        def __str__(self):
            return self.name

OCI Language v4.1: Enhanced accuracy, control

rahul d — Wed, 02 Apr 2025 08:18:36 +0000

Introducing Llama 3.3

AI Quick Actions

You can access AI Quick Actions from a Data Science notebook
AI Quick Actions, see About AI Quick Actions
AI Quick Actions has a Hugging Face integration

Model

class BlogCategory(models.Model):
        name = models.CharField(max_length=100, unique=True)
        description = models.TextField(blank=True, null=True)
        slug = models.SlugField(max_length=100, unique=True, blank=True)
        created_at = models.DateTimeField(auto_now_add=True)
        updated_at = models.DateTimeField(auto_now=True)

        def save(self, *args, **kwargs):
            if not self.slug:
                self.slug = slugify(self.name)  
            super().save(*args, **kwargs)

        def __str__(self):
            return self.name

Register new model card in the Model Explorer

rahul d — Wed, 02 Apr 2025 04:57:16 +0000

Introducing Llama 3.3

AI Quick Actions

You can access AI Quick Actions from a Data Science notebook
AI Quick Actions, see About AI Quick Actions
AI Quick Actions has a Hugging Face integration

Model

class BlogCategory(models.Model):
        name = models.CharField(max_length=100, unique=True)
        description = models.TextField(blank=True, null=True)
        slug = models.SlugField(max_length=100, unique=True, blank=True)
        created_at = models.DateTimeField(auto_now_add=True)
        updated_at = models.DateTimeField(auto_now=True)

        def save(self, *args, **kwargs):
            if not self.slug:
                self.slug = slugify(self.name)  
            super().save(*args, **kwargs)

        def __str__(self):
            return self.name

Model on OCI Data Science

rahul d — Wed, 02 Apr 2025 03:10:47 +0000

Introducing Llama 3.3

AI Quick Actions

You can access AI Quick Actions from a Data Science notebook
AI Quick Actions, see About AI Quick Actions
AI Quick Actions has a Hugging Face integration

Model

class BlogCategory(models.Model):
        name = models.CharField(max_length=100, unique=True)
        description = models.TextField(blank=True, null=True)
        slug = models.SlugField(max_length=100, unique=True, blank=True)
        created_at = models.DateTimeField(auto_now_add=True)
        updated_at = models.DateTimeField(auto_now=True)

        def save(self, *args, **kwargs):
            if not self.slug:
                self.slug = slugify(self.name)  
            super().save(*args, **kwargs)

        def __str__(self):
            return self.name

models

rahul d — Wed, 02 Apr 2025 02:53:10 +0000

Globalizing Productions with Netflix’s Media Production Suite

The journey from script to screen is full of challenges in the ever-evolving world of film and television. The industry has always innovated, and over the last decade, it started moving towards cloud-based workflows. However, unlocking cloud innovation and all its benefits on a global scale has proven to be difficult. The opportunity is clear: streamline complex media management logistics, eliminate tedious, non-creative task-based work and enable productions to focus on what matters most–creative storytelling. With these challenges in mind, Netflix
has developed a suite of tools by filmmakers for filmmakers: the Media Production Suite

What are we solving for?

Significant time and resources are devoted
workflows are fully digital
Moving media into the cloud introduces

The challenge of building a global technology to solve this

class Tag(models.Model):
    name = models.CharField(max_length=100, unique=True)
    slug = models.SlugField(max_length=50, unique=True, blank=True)
    created_at = models.DateTimeField(auto_now_add=True)
    updated_at = models.DateTimeField(auto_now=True)

    def save(self, *args, **kwargs):
        if not self.slug:
            self.slug = slugify(self.name)  
        super().save(*args, **kwargs)

    def __str__(self):
        return self.name

Model57

rahul d — Sat, 29 Mar 2025 11:33:49 +0000

Setup a blog with Hugo and Github Pages

It was long my desire to write a blog with stuff that interests me.

Lately i was studying Golang and i came across Hugo which is a really nice and fast site generation utility.

using Hugo and Github Pages in order to host it. Why?

it's free
it's Github
it's easy and fast

Steps

The following steps are needed for the initial setup and creation of the blog:

Github repository for source code of the blog
Github Pages repository for the generated site
Setup Hugo
Create blog
Publish blog to Github Pages

1. Github repository for source code of the blog

Follow the instruction on Github Pages to create a repository with your Github username. Clone it to your local drive.

3. Setup Hugo

Download Hugo to your local drive. Unpack it to a folder and set the path in your OS to the executable. Almost all OS are supported!!!

4. Create blog

Create a folder for your blog source code and cd into it.
Execute hugo new site .
Execute git init
Add as remote repository the repository created in Step 1. (git remote add origin https://github.com/{username}/{repository}.git)
Add .gitignore file to exclude the path public/, which is the default directory of the generated static files
Execute git add .
Execute git commit -m "initial commit"
Execute git push -u origin master

5. Publish blog to Github Pages

When we are ready to deploy our blog we do the following:

Execute hugo -d {path}, where path is the cloned repository path from step 2
cdinto the above path
Execute git add .
Execute git commit -m "initial commit"
Execute git push origin master After this we can enjoy our newly created blog under http://{username}.github.io where username should be replaced with your Github's username.

Code Model

class Tag(models.Model):
    name = models.CharField(max_length=100, unique=True)
    slug = models.SlugField(max_length=50, unique=True, blank=True)
    created_at = models.DateTimeField(auto_now_add=True)
    updated_at = models.DateTimeField(auto_now=True)

    def save(self, *args, **kwargs):
        if not self.slug:
            self.slug = slugify(self.name)  
        super().save(*args, **kwargs)

    def __str__(self):
        return self.name

Models46

rahul d — Sat, 29 Mar 2025 10:46:51 +0000

Setup a blog with Hugo and Github Pages

It was long my desire to write a blog with stuff that interests me.

Lately i was studying Golang and i came across Hugo which is a really nice and fast site generation utility.

using Hugo and Github Pages in order to host it. Why?

it's free
it's Github
it's easy and fast

Steps

The following steps are needed for the initial setup and creation of the blog:

Github repository for source code of the blog
Github Pages repository for the generated site
Setup Hugo
Create blog
Publish blog to Github Pages

1. Github repository for source code of the blog

Follow the instruction on Github Pages to create a repository with your Github username. Clone it to your local drive.

3. Setup Hugo

Download Hugo to your local drive. Unpack it to a folder and set the path in your OS to the executable. Almost all OS are supported!!!

4. Create blog

Create a folder for your blog source code and cd into it.
Execute hugo new site .
Execute git init
Add as remote repository the repository created in Step 1. (git remote add origin https://github.com/{username}/{repository}.git)
Add .gitignore file to exclude the path public/, which is the default directory of the generated static files
Execute git add .
Execute git commit -m "initial commit"
Execute git push -u origin master

5. Publish blog to Github Pages

When we are ready to deploy our blog we do the following:

Execute hugo -d {path}, where path is the cloned repository path from step 2
cdinto the above path
Execute git add .
Execute git commit -m "initial commit"
Execute git push origin master After this we can enjoy our newly created blog under http://{username}.github.io where username should be replaced with your Github's username.

Code Model

class Tag(models.Model):
    name = models.CharField(max_length=100, unique=True)
    slug = models.SlugField(max_length=50, unique=True, blank=True)
    created_at = models.DateTimeField(auto_now_add=True)
    updated_at = models.DateTimeField(auto_now=True)

    def save(self, *args, **kwargs):
        if not self.slug:
            self.slug = slugify(self.name)  
        super().save(*args, **kwargs)

    def __str__(self):
        return self.name