Friday, March 15, 2024

How to Create Urdu Hindi AI Model and Dataset from New Dataset

 This video is hands on step-by-step tutorial to create a new dataset, an AI model, fine-tune the model on dataset and then push it to hugging face.

Using Claude 3 Haiku Vision with Amazon Bedrock Locally

 This video is a hands-on guide as how to use vision features of Anthropic's Claude 3 Haiku AI model with Amazon Bedrock.

Thursday, March 14, 2024

Create AI Agent in AWS with Boto3 Code

 This video is a step-by-step tutorial with code as how to create Amazon Bedrock AI agents with boto3 in Python to integrate with Lambda.

Wednesday, February 28, 2024

How AI Transcription Can Make Your Next Job Interview More Effective

 If you are looking to use AI Transcription during your job interview to get help from LLM, then this video is going to help you immensely.

Monday, February 26, 2024

Tutorial to Implement RAG with Gemma Model Locally

 Unlock the power of Retrieval-Augmented Generation (RAG) locally using the Gemma model with our detailed step-by-step tutorial. Learn how to enhance your projects by integrating RAG for insightful document processing and AI-driven content generation. Perfect for developers, data scientists, and AI enthusiasts eager to leverage advanced NLP techniques on their own documents. No prior RAG experience required!

Friday, February 23, 2024

Build Your Own Audio Transcription Tool with AI

 In this video, you will learn how to deploy a LLM based application intro production by using Amazon Bedrock, Amazon Transcribe to summarize audio files with ASR model, Titan. 

Thursday, February 22, 2024

Manage and Run Gemma LLM with Keras Locally

This video shows how to install and manage Gemma LLM with Keras. Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models.

Thursday, February 1, 2024

Step by Step Guide to Configure Amazon Bedrock with VPC Endpoints and PrivateLink

This video is step by step tutorial to setup AWS Bedrock with VPC Endpoints and PrivateLink to build secure and private generative AI applications.

Thursday, January 25, 2024

How to Identify Oracle Database Orphan Sessions

 In the world of database management, particularly with Oracle databases, "orphan sessions" are a common issue that can affect performance and resource utilization. 

Oracle OCI's Generative AI Service: A New Era in Cloud Computing

 The world of cloud computing is witnessing a revolutionary change with the introduction of Oracle Cloud Infrastructure's (OCI) Generative AI Service. This innovative offering from Oracle is a testament to the rapidly evolving field of artificial intelligence (AI), particularly in the realm of generative models. As businesses and developers seek more efficient and creative solutions, Oracle's new service stands out as a significant milestone.


What is Oracle OCI's Generative AI Service?

Oracle's OCI Generative AI Service is a cloud-based platform that provides users with access to powerful generative AI models. These models are capable of creating a wide range of content, including text, images, and possibly even audio or video in the future. The service is designed to integrate seamlessly with other OCI offerings, ensuring a cohesive and efficient cloud computing experience.


Key Features and Capabilities

Advanced AI Models

At the heart of OCI's Generative AI Service are state-of-the-art AI models that have been trained on vast datasets. These models can generate high-quality, original content based on user inputs, making them invaluable for a variety of applications.


Scalability and Performance

Oracle's robust cloud infrastructure ensures that the Generative AI Service can scale to meet the demands of any project, big or small. This scalability is crucial for handling large-scale AI tasks without compromising on performance or speed.


Integration with OCI Ecosystem

The service is designed to work seamlessly with other OCI products, such as data storage, analytics, and security services. This integration allows for a more streamlined workflow, as users can easily access and combine different OCI services.


Use Cases

The potential applications of Oracle OCI's Generative AI Service are vast and varied. Here are a few examples:


Content Creation

For marketers and content creators, the service can generate written content, images, and potentially other forms of media. This capability can significantly speed up the content creation process and inspire new ideas.


Business Intelligence

Businesses can leverage the AI's ability to analyze and synthesize information to gain insights from data. This can aid in decision-making, trend analysis, and strategy development.