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Learn to fine-tune Llama 3 on custom datasets for improved LLM performance in specific tasks, using a single GPU. Covers dataset preparation, model setup, training, and evaluation.
Build a cryptocurrency analysis system with AI agents using LangGraph. Create agents to analyze markets, fetch data, search news, and generate comprehensive reports on Bitcoin, Ethereum, and Solana.
Learn to create complex AI agent workflows using LangGraph, controlling execution flow and state. Build a habit tracker app with custom tools and explore advanced LLM application development techniques.
Hands-on tutorial for building a RAG system from scratch using Llama 3.1, Groq API, Sqlite-vec, and FastEmbed. Learn to create a chatbot with custom data without external libraries.
Learn to empower Llama 3 with function calling capabilities, enabling it to operate a habit-tracking app. Explore tool choice, argument mapping, and practical implementation using Groq's Llama 3 model.
Build a local RAG system for PDFs using LLMs, LangChain & Streamlit. Extract text, create vector stores, implement advanced retrieval, and integrate local/remote LLMs for efficient document processing.
Learn to build a web scraper using Llama 3.1 AI to extract structured data from web pages. Create Pydantic models from markdown content, ideal for developers seeking efficient data extraction techniques.
Learn to generate photorealistic images using Flux-1 (Dev) model and LoRA adapters. Explore setup, inference steps, guidance, and output variety in this hands-on tutorial using Google Colab.
Explore SDXL Turbo, a fast text-to-image AI model. Learn setup, key parameters, and generate high-quality images across various themes. Discover its versatility and speed in creating stunning visuals.
Learn to fine-tune TinyLlama for sentiment analysis using LoRA on a single GPU. Covers dataset preparation, model setup, training, and evaluation to improve predictions with custom data.
Explore Microsoft's Phi-2, a compact yet powerful language model outperforming larger counterparts. Learn its training methods and test capabilities in coding, math, reasoning, and data extraction using Google Colab.
Explore GPT-4o's advanced capabilities in text generation, streaming, vision, and function calling. Learn to leverage the OpenAI API for enhanced AI-driven projects and applications.
Learn to build AI agent teams using CrewAI for cryptocurrency market analysis. Covers agent creation, task definition, and team execution to generate newsletter reports from latest news.
Explore AI teamwork using CrewAI and Llama 3 via Groq API to analyze news trends and predict cryptocurrency prices, comparing performance with GPT-4 Turbo.
Enhance RAG systems with contextual retrieval to improve context chunk quality and generate more accurate answers. Learn implementation techniques and practical applications.
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