Building Your First AI Agent Project with OpenAI - Lecture 1
Explore building an AI agent project using OpenAI-o1, covering agent flowcharts, code implementation, and execution of OpenAI-o1 agents in just 20 minutes.
Emerging Technology Spotlight: AI Agents - Understanding Capabilities and Potential
Explore AI agents' potential for complex tasks, guardian agents' oversight role, and the need for ambitious development to achieve groundbreaking results in emerging technology.
Building Reliable AI Agents - LLMs in Production Conference Part 2
Explore the fundamentals of building reliable AI agents, their business applications, and key challenges in agentic automation.
What Drives GenAI Development in the Next 3 Years - LLMs in Production Conference
Explore key drivers shaping Generative AI's future, including scaling laws, agents, multi-modality, and open-source contributions, while addressing challenges like GPU shortages and regulations.
Building Conversational AI Agents with Voice
Discover tips for creating conversational AI agents with voice, focusing on user experience. Learn from a Deepgram product manager about building effective speech-to-text interactions.
Build an AI Social Media Content Generator with LangGraph and Llama 3.1 - Tutorial
Transform technical content into engaging social media posts using LangChain and Groq. Build a multi-agent AI system, generate and refine content, implement AI-driven critiques, and visualize workflows with LangGraph.
Using Open Source LLMs with AutoGen - Deploying Llama 2 70B Tutorial
Deploy open-source LLMs with AutoGen using vLLM, Runpod, and Postman to simulate OpenAI chat completion endpoints. Learn to utilize this setup as a direct replacement for OpenAI invocations.
Building Local AI Agents with LangGraph and Ollama
Explore building local AI agents using LangGraph and Ollama. Learn integration techniques, code implementation, and compare with vLLM. Gain insights on Ollama's effectiveness for agent development.
AI Agent - Open-Source Perplexity Alternative Using LangGraph and Advanced Prompt Engineering
Explore Jar3d, an open-source AI agent using LangGraph and advanced prompt engineering. Learn to build a Perplexity alternative with Llama 3.1 for research-intensive tasks and local operation.
Lindy 2.0 - AI-First Automation Platform Tutorial and Comparison
Discover Lindy 2.0, an advanced AI automation platform for custom tasks. Learn to create AI agents, build versatile tools, and integrate with various apps to enhance productivity.
A Python Developer's Guide to AI in 2024
Comprehensive guide for Python developers on AI trends in 2024, covering machine learning, neural networks, computer vision, LLMs, RAG, and AI agents.
5 Unique Python AI Project Ideas and How to Build Them
Explore 5 Python AI projects from beginner to advanced, with code samples and implementation guidance. Learn sentiment analysis, image classification, voice assistants, recommendation systems, and AI agents.
Replit AI Agent - First Impression and Comparison to Cursor
Explore Replit AI Agent's capabilities, create and deploy apps, and compare it to Cursor. Learn about this new AI-powered development tool and its potential impact on coding workflows.
AI Agents with Supabase Memory - Building and Testing an AI App
Explore AI agents with Supabase memory using Cursor & V0. Learn to set up Shadcn, integrate Vercel V0, implement OpenAI agents, and add memory functionality for enhanced AI applications.
Using the HTTP Request Tool with AI Agents
Explore the new HTTP Request Tool for AI workflows, showcasing its capabilities and applications in enhancing AI-driven automation processes.
Parrot: Efficient Serving of LLM-based Applications with Semantic Variable
Discover Parrot, a system enhancing LLM-based applications with Semantic Variables. Learn how this innovation optimizes performance and enables efficient programming of AI agents and co-pilots.
The AI Scientist: Automating Scientific Paper Writing and Review
Explore an innovative AI system that automates scientific paper writing and review processes, revolutionizing research workflows and accelerating scientific progress.
Advanced AI Agents, Claude Prompt Caching, Grok-2, and Efficient RAG - LLM News Update
Explore cutting-edge AI developments: prompt caching, advanced agents, efficient retrieval, model distillation, and more. Stay informed on the latest breakthroughs shaping the future of artificial intelligence.
Exploring Gemini 2 Models and AI Agents in LMSYS Chatbot Arena
Explore AI agents' impact on LLM access, focusing on Google's Gemini models and their use of real-time information to reduce hallucinations in the LMSYS Chatbot Arena.
How to Build a Multi-Agent AI System Using Large Language Models
Learn to create specialized AI agents using Large Language Models for task automation, from task creation to keynote speech generation.
Fine-Tuning Open Source Models for AI Agents
Optimize open source LLMs for AI agents: Learn best practices for fine-tuning models in retrieval, chat, planning, and function calling to create domain-specific assistants and application copilots.