How-To Implement Agentic RAG with Llama 3.2 on Your Own Dataset Locally

 This video is a step-by-step tutorial on implementing Agentic RAG with Llama3.2 3B model on your own dataset locally.

OpenAutoCoder Agentless AI Applications - Install Locally

 

This video installs Agentless and tries it to out on SWE-Benchmark. It is an agentless approach to automatically solve software development problems.

Create RAG Agents with Crew AI and LlamaIndex

 This video is a step-by-step tutorial to build RAG-powered AI agents using LlamaIndex, CrewAI and OpenAI on your own data.

AI Agents Monitoring and Analytics with AgentOps and AutoGen

This video is a step-by-step tutorial to install and integrate AgentOps with AutoGen to monitor, test and replay analytics.

Easiest Tutorial to Create Agentic Database Application with Your Own Databases

 This video is a step-by-step tutorial to build from scratch AI-powered database agents to use with your own data.

How to Use LLM Function Calling Locally for Free

 Function calling in AI simply means that you can call external APIs from within your AI-powered application. Whenever you read that a model can do function calling, it means that it can take a natural language query of user and convert it to a function call. Then you can execute that function call to your API endpoint to get the data, and give it to LLM as additional context and get more grounded latest response as per your application requirement.

How to Install OpenDevin Locally

This is a step by step easy tutorial to locally install OpenDevin which is an open-source project aiming to replicate Devin, an autonomous AI software engineer who is capable of executing complex engineering tasks and collaborating actively with users on software development projects.