AutoGen AI Travel Agent Tutorial - Building a Multi-Agent Flight Search System
Develop an AI travel agent using AutoGen framework to search flights, connect with Amadeus API, and manage data in serverless SQL databases.
GPT-4 vs Open Source LLMs: Epic Rap Battles Test Creativity with AutoGen
Witness open-source LLMs battle GPT4-Turbo in freestyle rap, showcasing linguistic creativity. Compare Wizard LM 70B, Orca-2 13B, and Mistral 7B against the advanced benchmark.
LLMs and Transformers Demystified: Introduction to AI Engineering - Lecture 1
Demystify transformers and LLMs through intuitive weather analogies. Explore the architecture's impact on AI, from 'Attention is All You Need' to modern applications like ChatGPT.
Zapier AI Gmail Automation - Streamlining Email Outreach Tasks
Streamline email outreach with AI-powered Zapier workflows. Learn to build and implement automated systems, saving time on mundane tasks and boosting business efficiency.
Building Chatbots with Hugging Face LLMs - 5 Expert Tips
Discover 5 expert engineering tips for building chatbots using open-source LLMs like Mistral. Learn crucial technical nuances for transitioning from proprietary APIs to open-source models.
AutoGen: Hype vs. Reality - Limitations for Real-World Applications
Explore AutoGen's capabilities and limitations in multi-agent workflows, distinguishing hype from reality. Gain insights into its potential and current constraints for real-world applications.
Why I'm Staying Away from Crew AI - A Critical Analysis
Explore limitations of Crew AI for production, understand multi-hop questions, and learn alternative approaches for building AI applications. Gain insights on future multi-agent frameworks.
Building Custom AI Agents: Beyond CrewAI and AutoGen
Develop a custom web search AI agent in Python. Learn why building your own agents can be more effective than using existing frameworks for AI and multi-agent workflows.
Build Your Own Local "Perplexity" with Ollama - Deep Dive
Develop a custom web search agent running locally using Ollama and Llama 3. Learn to build, test, and compare with different models in this comprehensive technical deep dive.
Comparing Ollama Local WebSearch Agent with Llama 3 8B to Perplexity AI
Benchmark Llama 3 8b local web search agent against Perplexity AI. Compare performance, explore capabilities, and analyze results across diverse test questions.
LangGraph Simplified: Master Custom AI Agent Creation - Web Search Agent Tutorial
Simplify LangGraph concepts and create a custom web search AI agent through a Python tutorial. Learn core principles and practical implementation for AI development.
LangGraph AI Agent Upgrade: Integrating Groq, Gemini, and Chainlit Front End
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.
Meta-Prompting Technique for Building High-Level AI Agents
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.
Neo4j Knowledge Graphs for Smarter AI-Agent Search
Explore how Neo4j knowledge graphs enhance AI agent search, improving response quality through advanced AI engineering techniques like meta-prompting and RAG.
AI Agent for Deep Web Search with O1 Preview - Open-Source Alternative to Perplexity
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.
How Well Do Sparse Models Transfer? - Exploring Transfer Performance in Computer Vision and NLP
Explore sparse models' transfer performance and efficiency gains in image and language tasks, outperforming dense models even at high sparsities.
Sparse Training of Neural Networks Using AC/DC
Explore AC/DC, a novel sparse training algorithm for DNNs. Learn its benefits, implementation, and deployment for improved performance and accuracy in deep learning.
Applying Second-Order Pruning Algorithms for SOTA Model Compression
Explore second-order pruning algorithms for model compression, achieving higher sparsity while maintaining accuracy. Learn to apply these techniques to your ML projects for improved efficiency.
Pruning and Quantizing ML Models With One Shot Without Retraining
Adapt advanced pruning and quantization methods for ML models, achieving 4X speedup with 99% accuracy in minutes, using Computer Vision and NLP examples.
Deploy Fast and Accurate YOLOv8 Object Detection Models on CPUs
Optimize YOLOv8 models for 10x smaller, 8x faster performance on CPUs. Learn sparsification techniques, quantization, and deployment strategies for efficient computer vision applications.
Data Extraction with Large Language Models
Master data extraction techniques using large language models for efficient and accurate information retrieval from various sources. Enhance your skills in JSON and YAML extraction, and compare model performances.