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.

Wednesday, January 17, 2024

Top Code LLM in the World - Locally Install Stable Code 3B without GPU

This video walks through step by step guide to locally install top code AI Model which can run on CPU and its very small in size. 

Sunday, January 14, 2024

How to Install NVIDIA Drivers on AWS EC2 Instance Windows

 This video shows how to install NVIDIA drivers for Windows in AWS EC2 Instance G4DN and other instance types.

Saturday, January 13, 2024

Talk with Comics Using AI in Any Language

 This video shows step by step demo with code as how to analyze comics in any language and talk to them using LlamaIndex and ChatGPT.

Monday, January 8, 2024

Use AI to Query AWS RDS Database with LlamaIndex

 This video shows step by step guide with code as how to integrate LlamaIndex with AWS RDS Postgresql database to query in natural language. Its AI and LLM at its best.

Friday, January 5, 2024

Train TinyLlama 1.1B Locally on Own Custom Dataset

 This video explains in easy and simple tutorial as how to train or fine-tune TinyLlama model locally by using unsloth on your own data.

Wednesday, December 13, 2023

How to Build RAG Pipeline with Mixtral 8x7B to Talk to Your Own Documents

 This video shows step by step process as how to locally build RAG pipeline with Mixtral 8x7B to talk to local documents in PDF etc.