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Learn to build applications with Large Language Models and LangChain in less than an hour with Sam Witteveen. Explore LLMs, Prompt Templates, and application development.
Learn to create a BabyAGI in LangChain with Sam Witteveen. This less than 1-hour material includes a code walkthrough, running the code, and using Koala.
Learn to fine-tune decoder style GPT models using PEFT and LoRA in less than an hour with Sam Witteveen. Includes a code walkthrough and uploading to HuggingFace Hub.
Explore Program-aided Language Models with Sam Witteveen's concise video tutorial. Learn implementation in LangChain and access the code via Colab.
Learn to operate the latest Flan model on Google Colab using the HuggingFace Library and 8-Bit inference in under an hour with Sam Witteveen.
Learn to develop applications in LangChain with Sam Witteveen. Understand tools like PAL, LLMChains, API tools, and how to chain them together in under an hour.
Explore Starcoder's reasoning capabilities and its compatibility with the PAL Chain in LangChain in this less than 1-hour material by Sam Witteveen.
Explore the Starcoder suite of models, their creation, and functionality in less than an hour with Sam Witteveen. Learn about its unique ability to generate continuous code and fill gaps in existing code.
Learn how to use LangChain without Open AI for retrieval QA in less than an hour with Sam Witteveen. Includes practical guides on Flan T5-XL, Fastchat-T5, StableVicuna, and WizardLM.
Learn to use the Camel project for creating synthetic data and conducting market research with Sam Witteveen. Less than 1-hour workload.
Learn to use OutParsers in LangChain to enhance model results with Sam Witteveen. Understand Structured, CommaSeparatedList, Pydantic, Fixing, and Retry OutputParsers in under 1 hour.
Explore Sam Witteveen's concise guide to LaMini-LM models, featuring a deep dive into the creation of datasets and models, with less than an hour of material.
Learn to understand ReACT with LangChain in less than an hour with Sam Witteveen. The program includes manual ReACT and CoT Chain of Reasoning.
Explore the changes in LLaMA models with Sam Witteveen in under an hour. Learn about base models, win rates, model releases, pre-training, and more.
Learn LLaMA2 tokenizer and prompt tricks from Sam Witteveen in less than an hour. Gain insights into JSON conversion and system prompts.
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