Join Raphaël Semeteys, DevRel at Worldline, in the second episode of the tutorial series "GenAI's Lamp," focusing on Generative Artificial Intelligence. 🔍 What's Inside: - Introduction to Google PaLM 2 APIs and their use in Node.js - Installation of necessary Node.js modules including esm_hook, dotenv, Google Cloud AI platform module, and LangChain - Authentication and setup of Google Cloud Access for interaction with PaLM 2 APIs - Utilizing Text, Chat Text, Text Embedding, and Codey family of languages APIs - Exploring different abstraction levels and working with VertexAI Node.js module and LangChain JS framework - Demonstrating Text and Chat Completion, Code Completion, and Code Generation with PaLM 2 - Implementing Retrieval Augmented Generation architecture pattern using PDF document and vectorstore - A glimpse into abstraction levels three and four, including no-code and low-code solutions with PaLM 2 APIs 🔗 Associated content https://github.com/worldline/GenAI-Lamp/blob/main/Notebooks/Nodebook%20PaLM%202%20APIs.ipynb 📚 Resources of the video https://jupyter.org https://cloud.google.com/vertex-ai 🔗 Follow Raphaël https://dev.to/raphiki/ https://github.com/raphiki https://www.linkedin.com/in/raphaelsemeteys/ https://twitter.com/RaphaelSemeteys http://www.semeteys.org 🔗 Follow us https://blog.worldline.tech/ https://twitter.com/worldlinetech
Join Raphaël Semeteys, DevRel at Worldline, in the second episode of the tutorial series "GenAI's Lamp," focusing on Generative Artificial Intelligence. 🔍 What's Inside: - Introduction to Google PaLM 2 APIs and their use in Node.js - Installation of necessary Node.js modules including esm_hook, dotenv, Google Cloud AI platform module, and LangChain - Authentication and setup of Google Cloud Access for interaction with PaLM 2 APIs - Utilizing Text, Chat Text, Text Embedding, and Codey family of languages APIs - Exploring different abstraction levels and working with VertexAI Node.js module and LangChain JS framework - Demonstrating Text and Chat Completion, Code Completion, and Code Generation with PaLM 2 - Implementing Retrieval Augmented Generation architecture pattern using PDF document and vectorstore - A glimpse into abstraction levels three and four, including no-code and low-code solutions with PaLM 2 APIs 🔗 Associated content https://github.com/worldline/GenAI-Lamp/blob/main/Notebooks/Nodebook%20PaLM%202%20APIs.ipynb 📚 Resources of the video https://jupyter.org https://cloud.google.com/vertex-ai 🔗 Follow Raphaël https://dev.to/raphiki/ https://github.com/raphiki https://www.linkedin.com/in/raphaelsemeteys/ https://twitter.com/RaphaelSemeteys http://www.semeteys.org 🔗 Follow us https://blog.worldline.tech/ https://twitter.com/worldlinetech