Creating and Using Langchain Tools with OpenAI for Data Science and Machine Learning
Create and use Langchain tools with OpenAI for data science and machine learning applications. Learn to integrate powerful AI capabilities into your projects.
Langchain: Working with Structured Data, Databases, and CSV Files
Explore structured data manipulation using Langchain and OpenAI for data science and machine learning applications.
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.
LLMOps: Converting Fine-Tuned ViT Classifier to ONNX for CPU Inference
Convert a fine-tuned ViT Transformer to ONNX format and perform CPU inference, enhancing model portability and efficiency for custom image classification tasks.
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.
Intelligent Planners in Microsoft Semantic Kernel C# SDK
Explore Semantic Kernel's intelligent planners for creating LLM-driven execution plans using available plugins and kernel functions in C#.
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: Semantic Kernel C# SDK Integration with Ollama - Machine Learning and Data Science
Integrate Microsoft's Semantic Kernel C# SDK with Ollama, exploring Phi3 model and coding in C# for enhanced machine learning capabilities.
MLOps: C# Image Recognition with ResNet50v2 Model
Implement image recognition using ResNet50v2 in C# with ONNX and SixLabors.ImageSharp for efficient MLOps workflows.
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.
Converting BERT to ONNX and Inference with BERTTokenizer for C# - Machine Learning and Data Science
Convert Bert model to ONNX format and create a C# app using BERTTokenizer for inference with ONNX transformer models.
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.