Microsoft Phi-3 vs Llama 3 8B: Performance Comparison and Azure Deployment
Explore Microsoft Phi-3's performance vs. Llama 3 8B in coding tests. Learn about benchmarks, technical details, and how to deploy Phi-3 in Azure for Python applications.
Creating a WordPress Plugin with Devin AI - Live Demo
Live demonstration of creating a WordPress chatbot plugin using Devin AI, covering setup, coding, debugging, and deployment with OpenAI integration.
Create AI Chatbot on Custom Data with No-Code - VectorShift Tutorial
Learn to create and deploy a no-code AI chatbot for WordPress using VectorShift. Extract site data, configure the chatbot, integrate with Slack, and optimize responses for enhanced user engagement and support.
AI Will Interview You in the Future - Building an AI Interviewer with Dify
Explore the future of automated interviews using AI technology. Learn to set up, integrate, and implement an AI interviewer system, revolutionizing the recruitment process with enhanced efficiency and accuracy.
Creating an AI Operating System from Scratch with GPT-4
Learn to build a sophisticated AI operating system using GPT-4, integrating tools and multi-agents for enhanced efficiency and automation. Explore setup, knowledge base creation, and user interface design.
Creating an Autonomous AI App with AutoRAG and PhiData
Learn to build an AutoRAG system with PhiData, enhancing AI's decision-making for relevant responses. Covers setup, knowledge base creation, querying, and UI development for improved AI interaction.
Sciphi Triplex: A Cost-Effective Alternative to Microsoft GraphRAG
Explore Sciphi Triplex: a cost-effective, high-performance alternative to Microsoft's Graph RAG for creating knowledge graphs from unstructured data. Learn setup, implementation, and visualization techniques.
Fine-Tuning and Deploying LLaMA 3.1 on Hugging Face and Ollama
Step-by-step guide to fine-tune LLaMA 3.1 with custom data, save on Hugging Face and Ollama, and deploy for enhanced AI performance tailored to specific business needs.
Creating Synthetic Datasets for Instruction Finetuning with LLaMA and Nemotron
Learn to create synthetic datasets for AI instruction fine-tuning using LLaMA 3.1 and Nemotron 4. Master subtopic generation, question creation, response generation, quality filtering, and dataset uploading to Hugging Face.
Anthropic Claude Prompt Caching - A Game Changer for Cost and Latency Reduction
Learn to reduce costs and improve speed with prompt caching in Claude. Explore implementation, practical examples, and comparisons to optimize your AI interactions.
Use Your Self-Hosted LLM Anywhere with Ollama Web UI
Enhance your self-hosted Ollama models with Ollama Web UI, featuring a sleek interface, chat history, voice input, and user management. Learn to access it on your phone using Ngrok for on-the-go AI interactions.
RAG from the Ground Up with Python and Ollama - Building a Document Interaction System
Build a RAG system with Python and Ollama: parse documents, create embeddings, implement relevance scoring, and enable LLM interaction with your own datasets.
Meta's Llama 3 - The Next Generation of Open-Source Language Models
Explore Meta's Llama3 models: architecture, training, benchmarks, and real-world performance. Discover how this open-source AI compares to competitors and its potential impact on the field.
LangChain Fundamentals - Building Your First Chain
Learn to build your first LangChain, exploring Runnable, message formats, ChatModel, templates, and combining components for complex LLM-powered logic in just 14 minutes.
Building a Chat App with Ollama-py and Streamlit in Python
Build a Python chat app using Ollama-py and Streamlit. Learn to implement key features like user input, message history, model selection, and streaming responses.
Can Chat GPT Build a Spring Boot Application?
Explore the capabilities of ChatGPT in creating a Spring Boot application, examining its potential and limitations in software development.
Working with Prompts in Spring AI - Effectively Communicating with LLMs
Learn effective prompt engineering techniques for Spring AI, enhancing communication with language models to generate precise outputs and improve AI-driven applications.
Spring AI Functions - Registering Custom Java Functions with Chat Client
Learn to integrate custom Java functions with Spring AI's Chat Client for real-time data access in LLMs. Explore function calling and implementation for enhanced AI capabilities.
What's New in Spring AI 1.0.0 M1 - Features and Improvements
Explore Spring AI 1.0.0 M1's latest features, including the Chat Client's new fluent API for more concise and readable code. Learn about key updates and improvements in this release.
Lies, Damned Lies, and Large Language Models - Measuring and Reducing Hallucinations
Explore LLM hallucinations, measure misinformation using TruthfulQA dataset, and learn about retrieval augmented generation to enhance model reliability and accuracy.
Real World AI - Supercharging Engineer Productivity
Explore how AI enhances engineer productivity in cloud-native environments, focusing on practical applications and innovative solutions for improved efficiency.