Mastering Custom Tools for LLMs: Enhancing AI Agent Functionality
Explore the importance of custom tools for AI agents and learn how to enhance agent functionality in this 17-minute video. Discover various categories of tools, understand the distinction between custom tools and API tools, and learn how to effectively c…
Introducing Swarm: OpenAI's Groundbreaking Agent Framework with Code Examples
Explore OpenAI's Swarm framework through code examples, learning concepts and applications for multi-agent systems. Gain insights into routines, agent handoffs, context injection, and function calling.
Wasm as the Runtime for LLMs - Advantages and Applications
Explore the shift from Python to Wasm for LLM applications. Learn about running Llama2 models in Wasm, developing LLM agents in Rust, and see real-world use cases like code review and learning assistants.
Creating an AI Agent with LangGraph, Llama 3, and Groq - Advanced Tutorial
Learn to create an advanced AI agent using LangGraph, Llama 3, and Groq. Explore key concepts, workflow, and implementation steps for building sophisticated language models and graph-based agents.
Google's RAG Experiment - NotebookLM Overview and Demo
Explore Google's NotebookLM, an AI-powered tool for document analysis and interaction. Learn about its features, interface, and capabilities through demonstrations and blog post insights.
Llama 3, CrewAI, and Groq - Building an Email AI Agent
Combine Llama3, CrewAI, and Groq to create a fast AI agent for email responses. Learn setup, tools, and implementation in this hands-on tutorial.
Google's Expansion of Gemini: New Features and Integrations - Google I/O 2024 Highlights
Explore Google's Gemini expansion: new app, advanced features, 1.5 Pro model with 2M token context, integration in Workspace, and innovative tools like NotebookLM and context caching.
Testing Microsoft's New VLM - Phi-3 Vision Model
Explore Microsoft's Phi-3 Vision model capabilities through hands-on demonstrations, including image analysis and 4-bit quantization, with insights from the model's documentation and research paper.
Qwen 2 - Analyzing Reasoning and Creativity Capabilities
Explore Qwen 2's capabilities in reasoning and creativity, comparing its performance to other models. Learn about its multilingual support, agent features, and see practical demonstrations.
Building a Custom Crew with CrewAI - Sequential vs Hierarchical Process Methods
Explore building custom AI crews using CrewAI, comparing sequential and hierarchical processes with practical coding examples and insights.
Introducing the New Champion of Function Calling - Groq Tool Use Model
Explore the new open Tool Use / Function Calling model based on Llama-3, featuring Groq and Glaive. Learn about its capabilities, performance, and practical applications through code demonstrations.
AgentWrite with LangGraph - Converting and Extending LLM Agents
Learn to convert AgentWrite to a LangGraph agent, exploring dataset generation, flow, prompts, and potential extensions for enhanced AI writing capabilities.
Prompt Poet - Character AI's Framework for Assembling ML Chat Prompts
Learn Character AI's Prompt Poet framework for efficient prompt assembly and injection. Explore its application in LLM chat formats and discover techniques for enhancing AI interactions.
CrewAI August Update: Planning Steps, Training, and Advanced Features - Explained
Explore CrewAI's latest updates: enhanced planning, agent training, and advanced features for improved AI performance. Practical demo and code examples included.
Simple and Constrained LLM Agents - Building Controlled AI Systems for Production
Explore building simple, constrained LLM agents for fintech, balancing control and generalizability while mitigating risks in complex production ecosystems.