
Discover six innovative ways to enhance your writing process using ChatGPT, from managing notes to outlining documents, boosting efficiency and creativity in your authorial journey.

Explore config-based development for LLMs, covering versioning, routing, and evaluation techniques to transition Generative AI apps from prototype to production efficiently.

Explore security challenges in AI and LLM applications, learn attack scenarios, and discover best practices for mitigating risks and maintaining application integrity.

Explore LLMOps architecture: MLFlow for LLMs, Vector Databases, RAG strategies, and prompt evaluation. Gain insights into optimizing and deploying large language models effectively.

Explore Microsoft Phi3 Mini 4K's Chain of Thought prompting capabilities through practical tests, comparing results with other models like LLama2, Mistral 7B, and LLama3 8B.

Install and utilize MLflow Deployment Server to manage multiple LLMs, including OpenAI, Anthropic, and Langchain. Enhance your MLOps skills for efficient model deployment.

Aprenda a implementar un componente de recuperación utilizando VertexAI Embeddings, Pinecone y Langchain para aplicaciones de aprendizaje automático y ciencia de datos.

Explore Gemma-2, Google's new language model. Compare sizes, formats, and test Chain of Thought capabilities through IT-focused prompts. Hands-on demonstration included.

Crea un chatbot de preguntas y respuestas conversacional utilizando Langchain, Gemini Pro 1.5, Faiss y Vertex AI para consultar una base de conocimientos personalizada.

Develop a RAG-based QA tool using Langchain, Gemini Pro, and Chroma for legal document analysis and retrieval.

Optimize LLM inference on Intel CPUs and GPUs using Neural Speed. Explore efficient techniques for enhanced performance in machine learning and data science applications.

Develop a Retrieval QA tool using Langchain, OpenAI, and Faiss. Learn to save components in Databricks' MLFLOW, work with Model Governance, and perform inference after chain retrieval.

Build a code reviewer using GPT-4, encapsulate it in MLflow, and deploy for inference in Databricks pipelines. Enhance your ML workflow with LLMOps techniques.

Create a RESTful API for LangChain runnables and chains, enabling seamless integration of machine learning models into applications.

Explore API interaction using Langchain and OpenAI models for data science and machine learning applications. Learn practical implementation techniques.

Learn web scraping techniques using Langchain and OpenAI, focusing on extracting and processing HTML content for data science and machine learning applications.

Create a tool for tagging documents using Langchain and OpenAI, enhancing document organization and retrieval in data science and machine learning projects.

Explore Langchain for Python code understanding, integrating CodeLLama, Llama.cpp, and OpenAI for enhanced machine learning capabilities.

Explore graph databases using Neo4J, Langchain, and OpenAI for advanced data science and machine learning applications.

Create and use Langchain tools with OpenAI for data science and machine learning applications. Learn to integrate powerful AI capabilities into your projects.

Explore structured data manipulation using Langchain and OpenAI for data science and machine learning applications.