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Uncover AI agent mechanics and learn a basic pattern to build your own without intermediate libraries. Gain practical insights for custom AI development.
Explore the LLM ecosystem, from Hugging Face to OpenAI. Gain insights on LLM functionality, infrastructure, and application development frameworks for building AI-powered solutions.
Master AI agent development with meta prompting, structured outputs, and LangSmith observability. Learn to create versatile, goal-oriented systems like Jar3d for efficient problem-solving and collaboration.
Explore Jar3d, an open-source AI agent for deep web research using LangGraph and o1-preview. Learn its setup, capabilities in complex tasks, and advantages over traditional search engines.
Explore how Neo4j knowledge graphs enhance AI agent search, improving response quality through advanced AI engineering techniques like meta-prompting and RAG.
Explore advanced AI techniques like meta-prompting, RAG, and LangGraph to build a powerful research agent rivaling Perplexity. Gain insights into Jar3d's architecture and implementation.
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.
Explore dynamic AI agents using LangGraph, advanced prompt engineering, and RAG for research-intensive tasks. Learn to enhance AI capabilities for diverse applications like newsletter creation and travel planning.
Explore meta-prompting techniques to build flexible AI agents. Learn implementation, web search integration, and evaluate strengths and weaknesses of this powerful prompt engineering approach.
Explore AI agents' limitations through chess tests, revealing planning effectiveness and crucial considerations for AI development.
Upgrade a LangGraph AI agent with Groq, Gemini, and Claude integrations, fix bugs, and create a stylish Chainlit front-end for web searching capabilities similar to Perplexity.
Simplify LangGraph concepts and create a custom web search AI agent through a Python tutorial. Learn core principles and practical implementation for AI development.
Benchmark open-source AI models against Perplexity AI using a custom web search agent. Compare Codestral, Mixtral, and GPT4o performance in handling complex queries and multi-hop questions.
Benchmark open-source AI models against Perplexity AI in web search performance. Compare Llama 3 70b, GPT-3.5 turbo, and Phi-3 medium using a custom web search agent.
Benchmark Llama 3 8b local web search agent against Perplexity AI. Compare performance, explore capabilities, and analyze results across diverse test questions.
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