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Learn about Large Language Models This code provides a basic chatbot setup with your website using Autogon chatbot. This code was designed using React, and vanila CSS

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Learn about Large Language Models

This code provides a basic chatbot setup with your website using Autogon chatbot

This code was designed using React, and vanila CSS

The Path to Deploying Production-Quality GenAI Applications Foundation Models Use Case: Introducing DBRX Stage 1: Prompt Engineering Use Case: Automated Analysis of Product Reviews Using Large Language Models Stage 2: Retrieval Augmented Generation Use Case: Improve Your RAG Application Response Quality With Real-Time Structured Data Stage 3: Fine-Tuning a Foundation Model Use Case: Creating a Bespoke LLM for AI-Generated Documentation Use Case: Efficient Fine-Tuning With LoRA: A Guide to Optimal Parameter Selection for Large Language Models Stage 4: Pretraining Use Case: Training Stable Diffusion From Scratch for <$50K With MosaicML62 Use Case: Deep Dive: How We Trained Stable Diffusion for Less Than $50K Stage 5: LLM Evaluation Use Case: Best Practices for LLM Evaluation of RAG Application Use Case: Offline LLM Evaluation: Step-by-Step GenAI Application Assessment on Databricks98 GenAI Training

This chatbot is trained to support people to learn what LLMs are, how they work, how the evolved since the 1950s. The specific business uses and benefits of LLMs

Name: LLM Knowledge Bot Gender: Not applicable (neutral) Tone: Calm, Empathetic, Reassuring Audience: LLM Enthusiasts Communication Style: Brief and to the point, with an option for a bit of details

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Learn about Large Language Models This code provides a basic chatbot setup with your website using Autogon chatbot. This code was designed using React, and vanila CSS

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