Protected: veda-upnishad and upveda
There is no excerpt because this is a protected post.
Starter Kit: Build Your Own LLM – TensorFlow
Building your own LLM can be a transformative step in research, product innovation, or domain-specific automation. Depending on your goals, computational resources, and available data, there are two primary paths you can take: Choose Your Track First Goal Track Description 🔧 Full control, academic/research Build from Scratch You define architecture, tokenizer, train from raw text …
Pricing Paradigms: Classical Models in Equity and Derivative Markets
In the intricate world of finance, accurately pricing instruments is not merely a technical necessity—it’s the cornerstone of capital allocation, risk management, and trading strategies. Whether you’re valuing a share of stock or an exotic derivative, the choice of pricing model defines how you interpret value, risk, and return. This article offers a structured overview …
Ai frameworks
Framework / Tool Description LangChain Popular framework to build LLM-powered agents using chains, memory, tools. LangGraph Graph-based agentic extension of LangChain for managing agent workflows. Auto-GPT Autonomous agent built on top of GPT models that can plan and execute goals. BabyAGI Lightweight, task-based autonomous agent that loops tasks with memory. CrewAI Multi-agent framework where different …
How Bonds Work: Yield, Risk, Duration, and Convexity Made Simple
What is a Bond? A bond is like a loan — but you are the one giving the loan, and the government, company, or organization is borrowing money from you. In return, you earn steady income and get your original money (principal) back after a fixed period. đź“Š Key Features of a Bond: Feature Meaning …
Beyond Accuracy: Evaluating the Performance of Generative AI Models
In the rapidly evolving landscape of artificial intelligence, evaluating the performance of generative models has become both essential and complex. Unlike traditional machine learning models that can be assessed using clear-cut accuracy metrics, generative AI outputs are open-ended—ranging from text and images to music and code—making evaluation a multidimensional task. Whether you’re building a chatbot, …