Creating Synthetic Data with Langchain and OpenAI for Data Science and Machine Learning
Create synthetic data using Langchain and OpenAI for machine learning applications. Learn techniques to generate realistic datasets for training and testing models.
Building Chatbots with LangChain and OpenAI
Construye chatbots avanzados utilizando LangChain y OpenAI. Aprende técnicas de procesamiento de lenguaje natural para crear asistentes virtuales inteligentes y personalizados.
Data Extraction with LangChain and OpenAI for Machine Learning and Data Science
Extraer información de fuentes no estructuradas utilizando LangChain y OpenAI para aprendizaje automático y ciencia de datos.
Langchain and OpenAI Document Summarization with Machine Learning
Explore document summarization using LangChain and OpenAI. Learn to implement efficient text condensation techniques for machine learning and data science applications.
Llama2 7B QLora Fine Tuning with Chain-of-Thought Dataset
Fine-tune Llama2 7B model using QLora with chain-of-thought dataset. Learn step-by-step process, access provided notebooks, and explore CodeLlama implementation for enhanced machine learning capabilities.
Llama 2, Ollama and Pinecone - Vector Database Search for Machine Learning and Data Science
Explore embedding and searching text using Llama 2, Ollama, and Pinecone Vector Database for efficient information retrieval in machine learning projects.
Langchain and Llama2 Text Summarization Techniques
Explore text summarization techniques using Langchain and Llama2, with practical demonstrations and code examples for machine learning and AI applications.
Fine-tuning Flan-T5 for Sequence-to-Sequence Classification with MLFlow
Fine-tune Flan-T5 for sequence-to-sequence classification using MLflow. Learn advanced MLOps techniques for optimizing language models in data science projects.
Fine-tuning Flan-T5 for Text Classification with MLFlow
Aprende a personalizar el modelo T5 base para clasificación de secuencias usando tu propio conjunto de datos y MLflow para MLOps.
MLOps with MLflow: Fine-Tuning LLMs - Tracking Experiments and Logging Models
Fine-tune LLMs, track experiments, and log models using MLflow for efficient MLOps practices in data science and machine learning projects.
Llama3 8B QLora Fine-Tuning with Chain-of-Thought Dataset
Fine-tune Llama3 8B model using QLora with chain-of-thought dataset. Learn step-by-step process and access provided notebooks for Llama3, Llama2, and Mistral models.
Microsoft AI: Semantic Kernel C# SDK - Semantic Memory with Chroma
Develop a RAG component using Semantic Kernel, Chroma, and OpenAI models in C#. Enhance machine learning projects with advanced AI techniques.
Gemini API: How to Use Code Execution Capability with Python SDK
Explore Gemini API's code execution capability using Python SDK for machine learning and data science applications.
NVIDIA NIM Integration with Langchain for RAG Q&A
Explore NVIDIA NIM integration with Langchain, creating a RAG Q&A system using Faiss for enhanced machine learning and data science applications.
Microsoft AI: C# SDK Semantic Kernel - How to Use and Create Plugins
Explore Semantic Kernel's C# SDK: create custom plugins, utilize core plugins, and master prompt engineering for enhanced AI development.
Microsoft AI: Semantic Kernel SDK Integration with Hugging Face Models
Integrate Semantic Kernel with Huggingface models for text generation and summarization using GPT2 and T5-base. Explore practical implementation for machine learning tasks.
Gemini API Function Calling with Python SDK - Machine Learning and Data Science
Explore function calling with Gemini API's Python SDK to enhance language model interactions and streamline development workflows.
Multimodal Q&A RAG Tool with Gemini for Data Science and Machine Learning
Develop a multimodal Q&A RAG tool using Gemini for unstructured data analysis, enhancing data science and machine learning capabilities.
PII/GDPR Detection with Presidio and Spacy - Part 1: Architecture and Design
Explore PII/GDPR detection using Microsoft Presidio and Spacy, focusing on architecture and design for effective data protection implementation.
Computer Vision: OCR Tesseract in C# - Data Science and Machine Learning
Implement OCR using Tesseract library in C# for extracting text from images, enhancing your computer vision skills.
LLMOPs: Multimodal Prompting and Inference with Phi-3 Vision 128K Instruct on CPU - ONNX 4-Bit Quantization in C#
Explore multimodal prompting and CPU inference using Phi 3 Vision 128K Instruct, quantized to 4 bits in ONNX format, with C# implementation for efficient machine learning operations.