Google keyword search habit issue We are all so tuned to Google search that we tend to do similar search queries in an AI model as well. But, AI model capability is much different than tradition key word searches in search engines. We must come out of the keyword search
💡AI doesn’t see raw sentences—it sees tokens as numbers. Why Tokens? Unlike the traditional way of storing and retrieving data, the AI Model shall build relationships between the text and generate text with the right context, so it requires a special data structure (Vectors) to store it in
Why are Vectors a big deal for AI? Understand what we have been doing so far vs what we can get via AI Vectors as a perfect data type and format. What are we doing to retrieve the data? 1. RDBMS options 2. NoSQL and other database options 3. Search
Understand high-level Microsoft Azure AI capabilities and plan for potential adoption. About Azure AI Azure AI, part of Microsoft Azure, offers a broad range of artificial intelligence capabilities designed to help developers and organizations build intelligent applications. To provide flexibility, quick adoption, and realization of AI to Organizations, Azure AI
Quick List of AI Use Cases Almost every current software or hardware is a candidate for AI adoption due to the nature of excellent AI capabilities. It's not about just Generative capabilities but also how you can leverage new vector capabilities to improve user experiences. Check this index
Build, Train, Tune, and Deploy foundation models, machine learning models, and custom AI. About IBM Watsonx.ai IBM watsonx.ai is a powerful AI development studio designed for building, training, tuning, and deploying foundation models, machine learning models, and custom AI — all in one place. It's a key
Monitor, Control, Manage & Trust your organization's AI systems. About IBM Watsonx.governance IBM watsonx.governance is a platform designed to provide automated governance, risk management, and compliance for AI models and the data they rely on. It's part of the broader IBM watsonx suite and
Your organization's data to work for AI, ML, and Analytics About IBM Watsonx.data IBM Watsonx.data enables organizations to consolidate and leverage enterprise-wide data for A.I., ML, and Analytics with scalability, performance, governance, and security. IBM Watsonx.data is a hybrid, open data lakehouse platform designed
Building an AI Bank Risk Mitigator Here, I focus on the specific context of building a Bank's AI Risk Mitigator that shows better interactive and generative information for better decisions and augments current static risk mitators. AI or Generative AI can dramatically boost current risk mitigators' capabilities,
Understand high-level Amazon SageMaker AI capabilities and plan for potential adoption. Goals Understand What Amazon SageMaker AI offers About Amazon SageMaker AI Amazon SageMaker AI, formerly named Amazon SageMaker, is a cloud-based fully managed machine learning (AI/ML) service, extends old SageMaker's capabilities with AI. Amazon SageMaker AI
Set up and run DeepSeek-R1 in Amazon Bedrock Goals Install DeepSeek-R1 in Amazon Bedrock and try DeepSeek. And, Understand Amazon Bedrock's capabilities to jumpstart AI adoption. About Amazon Bedrock Amazon Bedrock is a fully managed service that offers high-performing foundation models (FMs) from leading AI companies and provides
Set up and run DeepSeek-R1 on AWS cloud with EC2, and Try DeepSeek Queries. You can do the same in your own servers, IBM Cloud, Oracle Cloud, Google Cloud, Azure Cloud, or personal laptop. But, I will choose AWS in this post for simplicity. Goals Install DeepSeek-R1 in the AWS
AI People
Firstly, Read Part-1 and Part-2 before you try to understand the AI Journey. Secondly, Start connecting all the dots with the right AI Journey by following the steps. 1. Understand the current AI market state with the current AI technology (products, agents, and companies) landscape. 1. Know how others solved
AI Business
What is ChatGPT? ChatGPT is a Chatbot (a person can chat with a chat software with questions etc) created by US-based artificial intelligence company OpenAI ChatGPT, most importantly, generates new text/content and handles other stuff, like a human. GPT stands for “Generative Pre-trained Transformer”. ChatGPT is built on the
AI Models
List of AI Model's Posts Index What is an AI Model?An A.I. Artificial Intelligence Model is trained on data to recognize patterns, make predictions, or perform actions based on input. Practical AI Model Example: GPT stands for “Generative Pre-trained Transformer”. ChatGPT built on GPT AI Model
AI Models
An A.I. Artificial Intelligence Model is trained on data to recognize patterns, make predictions, or perform actions based on input. Practical AI Model Example: GPT stands for “Generative Pre-trained Transformer”. ChatGPT is built on the GPT AI Model where users can chat on top of GPT model technology. Transformer
AI People
List of AI People related posts index It’s the People, Stupid. - Part 1 AI - Artificial Intelligence TriggersIt’s the People, Stupid. We are the people who creates everything; good or bad. As of today (Jan 2025), we have 8+ billion (8,000,000,000+) population in the
AI Products
List of AI Companies related posts index expectations.ai AI Agents IndexList of AI Agents index AI AgentsAn AI Agent is really a software or a mobile app or a hardware system built on AI tech stacks and helps lot of real people who is doing lot of repetitive and
AI Products
An AI Agent is really a software or a mobile app or a hardware system built on AI tech stacks and automates a lot of repetitive and similar tasks. It acts as a virtual companion agent. A real person does a lot of stuff; 1. Speaking 2. Listening 3. Watching
AI Products
List of AI Agents index AI AgentsAn AI Agent is really a software or a mobile app or a hardware system built on AI tech stacks and helps lot of real people who is doing lot of repetitive and similar tasks. It acts as a parallel companion agent for a
AI Products
Unlike other posts such as AI Writers, and AI Voice Agents, let us focus on building an AI English Teacher here. At the end of year 2024, we can say that we are still early in our AI tools adoption journey and have an excellent opportunity to build a better
AI Products
AI video agents are AI-powered software designed to interact with users through video-based communication. They combine advanced technologies like computer vision, natural language processing (NLP), and animation to provide interactive and engaging experiences. The problem of manually creating videos: Manually creating videos can be a time-consuming and resource-intensive process. Here
AI Products
An AI voice agent is a software designed to understand spoken language, process it, and respond using natural-sounding speech. Essentially, it acts as a virtual assistant that interacts with users through voice instead of text. The problem of manually speaking to a Customer Service Agent: You make a call to
AI Algorithms
List of AI & ML Algorithms as a quick reference 1. Deep Learning Algorithms 2. Reinforcement Learning Algorithms 3. Supervised Learning Algorithms 4. Unsupervised Learning Algorithms 5. Semi-Supervised Learning Algorithms Deep Learning Algorithms | Read 1. Neural Networks Backpropagation algorithm | Read 2. Feedforward Neural Networks (FNN) | Read 3. Convolutional Neural Networks