AI Knowledge Base
Tutorials, and Examples
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Complete Guide: Training and Running a Temporal Fusion Transformer (TFT) Model for Bitcoin (BTC) Trend Prediction
This article walks through the full production pipeline for building and using a Temporal Fusion Transformer (TFT) to predict Bitcoin’s next-hour…
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Explainable AI (XAI) & AI Ethics
Artificial Intelligence (AI) has become an integral part of modern technology, impacting sectors such as healthcare, finance, and autonomous systems. However,…
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AI in Healthcare: Transforming the Future of Medicine
Introduction The emergence of Artificial Intelligence (AI) in healthcare has been groundbreaking, reshaping the way we diagnose, treat, and monitor patients….
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AI Code Generation: Automate Development with AI
AI-driven code generation enables developers to write, complete, and debug code using conversational prompts. Tools like Google Vertex AI, OpenAI Codex,…
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What is AI in cybersecurity?
AI’s Role in Cybersecurity AI vs. Traditional Cybersecurity Why AI is Important in Cybersecurity Benefits of AI in Cybersecurity Machine Learning…
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Artificial Intelligence (AI) in Finance
Artificial Intelligence (AI) has become a transformative force in the financial industry, revolutionizing how institutions manage risk, personalize services, automate operations,…
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What are some examples of popular foundation models?
Foundation models are large-scale AI models trained on vast amounts of data that can be adapted for a variety of applications….
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What is a Large Language Model (LLM)?
In recent years, artificial intelligence (AI) has seen tremendous advancements, particularly in the field of natural language processing (NLP). One of…
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How to Effectively Use LLaMA 3.1: A Comprehensive Guide
LLaMA 3.1, developed by Meta, is an advanced Large Language Model (LLM) designed for various natural language processing (NLP) tasks, including…
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Llama 3.1 Requirements: A Comprehensive Guide
Llama 3.1 stands as a cutting-edge AI model, providing immense potential for developers and researchers alike. To fully harness its power,…
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DeepDive into GPU Hardware: The 2025 Guide for DeepSeek Models
DeepSeek models have been redefining the landscape of large language models, unlocking unprecedented performance across multiple fields. However, pushing these boundaries…
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DeepSeek-Coder-V2: 16B Lite vs. 236B – A Deep Dive into Open-Source Code Intelligence
Below is a comprehensive article that delves into the two main variants of DeepSeek-Coder-V2—namely, the 16B “Lite” models versus the full-scale…
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DeepSeek‑Coder‑V2 16B Requirements: A Comprehensive Deployment Guid
DeepSeek‑Coder‑V2 is an open‐source Mixture-of-Experts (MoE) code language model that rivals closed‑source alternatives in code intelligence. The 16B variant—often referred to…
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How to Train DeepSeek-R1 on Stock Market Data Using Zerodha API
Step 1: Install Required Packages Install all necessary Python packages using: Create requirements.txt and add: To manually install packages, use: Step…
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Setting Up Ollama & Running DeepSeek R1 Locally for a Powerful RAG System
Ollama: Run AI Models Locally Ollama is a powerful framework that enables users to run large language models (LLMs) locally on…