Open Source Generative AI is rapidly transforming industries and enabling real-world applications across a wide range of domains. Unlike proprietary models, open-source generative AI allows for customization, transparency, scalability, and cost-effectiveness — making it ideal for startups, researchers, enterprises, and governments. 🌐 Real-World Applications of Open Source Generative AI Here’s a breakdown of how open […]

RAG Agents (Retrieval-Augmented Generation Agents) are a powerful fusion of information retrieval and generative AI , allowing models to answer questions or perform tasks using external knowledge sources instead of relying solely on their internal training data. 🧠 What Are RAG Agents? RAG Agents combine: This allows for: 🔍 Key Components of a RAG Agent

speech-driven models are AI systems that understand and generate spoken language , enabling more natural and accessible human-machine interaction. These models power voice assistants, real-time transcription, text-to-speech, speaker recognition, and even emotional tone detection. Speech-driven AI typically involves several types of models: 🧠 Types of Speech-Driven Models Type Purpose Examples Automatic Speech Recognition (ASR) Converts

These are a relatively new class of models that go beyond traditional language understanding or vision-language modeling by incorporating real-world action reasoning and execution , especially in agent-based systems . 🧠 What Are Language-Action Models (LAMs) ? LAMs combine language models (LLMs) with action execution capabilities , enabling them to: They represent a step toward

Vision-Language Models (VLMs) are a powerful class of multimodal AI systems that understand both images and text , allowing capabilities such as: 🧠 What Are Vision-Language Models (VLMs)? VLMs combine computer vision models (like CNNs or Vision Transformers) with language models (like Transformers or LLMs), learning to align visual features with semantic meaning in text.

“Open source generative AI” refers to generative artificial intelligence models and tools whose source code, training methodologies, and sometimes even trained weights are publicly available , allowing anyone to use, modify, and redistribute them. These models can generate text, images, audio, code, and other types of content. 🔍 What is Generative AI? Generative AI refers

The term “Agentic AI” refers to artificial intelligence systems that exhibit agency —the capacity to act independently, make decisions, and pursue goals with some degree of autonomy. While not a standardized or universally defined term yet, it is increasingly used in discussions around advanced AI systems, particularly in the context of autonomous agents , general-purpose

Service Name Description Category Amazon EC2 Elastic Compute Cloud for scalable virtual servers. Compute Amazon S3 Simple Storage Service for object storage (high durability, scalability). Storage Amazon RDS Relational Database Service for managed relational databases (MySQL, PostgreSQL). Databases Amazon DynamoDB NoSQL database for fast, flexible, and scalable data storage. Databases Amazon VPC Virtual Private Cloud

1. What is the difference between a VPC and a subnet in AWS? ✅ VPC (Virtual Private Cloud) ✅ Subnet 🧠 Key Takeaway: 🔍 2. How do you secure a VPC? ✅ Security Best Practices 🧠 Key Takeaway: 🔍 3. Explain the use cases for AWS Direct Connect vs. VPN. ✅ AWS Direct Connect ✅

1. What is the difference between a VPC and a subnet in AWS? Key Points: 2. How do you secure a VPC? Key Points: 3. Explain the use cases for AWS Direct Connect vs. VPN. Key Points: 4. What is an Elastic Load Balancer (ELB), and what types are available? Key Points: 5. How would