Akshit Madan

Akshit Madan

Best LLMs for Legal AI Agents: A Deep Dive into LegalBench Performance

Best LLMs for Legal AI Agents: A Deep Dive into LegalBench Performance

From contract analysis to legal research, from compliance monitoring to case preparation, artificial intelligence is transforming how legal professionals work. However, the stakes in legal practice are uniquely high. A single error can result in malpractice claims, regulatory violations, or adverse case outcomes. This reality makes choosing the right AI

Building a Resume Checker with LlamaIndex and Maxim Observability

Building a Resume Checker with LlamaIndex and Maxim Observability

In this comprehensive tutorial, we'll build an intelligent Resume Checker agent using LlamaIndex that analyzes resumes and provides detailed feedback. We'll also integrate Maxim observability to monitor the agent's performance and gain insights into its decision-making process. What We'll Build Our Resume

👀 Observing Tool Calls 🔨 and JSON Mode Responses from Fireworks AI

👀 Observing Tool Calls 🔨 and JSON Mode Responses from Fireworks AI

Modern AI applications require robust monitoring and observability to track model performance, understand usage patterns, and debug complex interactions. When working with advanced features like tool calls and structured JSON responses, having comprehensive logging becomes even more critical. In this guide, we'll explore how to integrate Maxim'

Building an AI-Powered Stock Market Analysis Tool with Groq and Function Calling

Building an AI-Powered Stock Market Analysis Tool with Groq and Function Calling

In this comprehensive tutorial, we'll build a sophisticated stock market analysis tool that combines the power of Groq's fast LLM inference with function calling capabilities. Our tool will be able to understand natural language queries about stocks and automatically fetch data, perform analysis, and create beautiful

Making a Financial Conversation Agent using Agno & Maxim

Making a Financial Conversation Agent using Agno & Maxim

In today's fast-paced financial world, having instant access to market data, company information, and financial insights is crucial for investors, analysts, and financial professionals. In this comprehensive tutorial, we'll build a sophisticated financial conversational agent that combines the power of multiple AI models with real-time financial

🎙️ Build an AI Interview Voice Agent with LiveKit & Maxim

🎙️ Build an AI Interview Voice Agent with LiveKit & Maxim

Listen to Your Future Interviewer in Action AI Interviewer: "Good morning! I'm excited to discuss this Senior React Developer position with you. I've reviewed the job description, and I see you'll be working on high-performance web applications with TypeScript and modern React patterns.

🐞 Building an Agentic Debugging Game: Anthropic for LLM & Maxim for Observability

🐞 Building an Agentic Debugging Game: Anthropic for LLM & Maxim for Observability

Welcome! In this tutorial, we'll build a fun, interactive AI agent called "Guess the Bug." The agent will use Anthropic's Claude model to generate simple Python code snippets with hidden bugs. Your job is to find the bug, and the agent will tell you