Chatting With Your Data Ultimate Guide Do you want a **20 minute** read on all things related to chatting with your data? @Prince_krampah has got you covered (with code as well)! Blog: https://
medium.com/aimonks/chatti
ng-with-your-data-ultimate-guide-a4e909591436
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GitHub: https://
github.com/Princekrampah/
rag_chatbot_ultimate_guide
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CODE
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Ultimate Guide to Chatting With Your Data
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Fullstack RAG Application TypeScript Guide LLMs Vector Databases
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Fullstack RAG Application in TypeScript A fantastic guide by @dbabbs walks through how to do this from scratch "This guide is tailored for web developers who are looking to learn how to integrate LLMs and vector databases into their projects." Blog: https://
medium.com/@dbabbs/guide-
create-a-full-stack-semantic-search-web-app-with-custom-documents-edeae2b35b3c
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Building Transformers: Complete Concept and Code Implementation
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Transformer: Concept and code from scratch https://
bit.ly/45YXobu #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Master Data Analysis with Databricks SQL Training Course
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Looking to expand your #DBSQL knowledge? Take our Data Analysis with Databricks SQL course! In this training, you’ll learn how to: Ingest data Write queries Produce visualizations
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bit.ly/3RDkCj1 -
Start Your Machine Learning Journey: Complete Guide and Resources
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Want to jump-start your journey into Machine Learning? Check out the guide for more tips and resources! https://
github.com/louisfb01/star
t-machine-learning
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Teaching Statistics Interactively with WebR Technology
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Teaching statistics interactively with webR https://
bit.ly/3PcvhP2
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Poe Launches Creator Monetization Hackathon at AGI House
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To celebrate the launch of Poe creator monetization, we are hosting a hackathon at AGI House next Saturday. There will be one track for prompt engineering (no code) and another for coding. The Poe team will be present and we'll have some guest speakers. Details in the next tweet!
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Zephyr: Direct Distillation of LM Alignment
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Zephyr: Direct Distillation of LM Alignment Tunstall et al.: https://
arxiv.org/abs/2310.16944 #ArtificialIntelligence #DeepLearning #MachineLearning -
Open Source AI Data Adaptation Project Released
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Most of it is yes! And the data we used is from online resources that we all mention and link to. It is a straightforward adaptation of the open source repo : https://
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LangChain RAG Overview: Basics and Advanced Topics
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RAG Overview If you've been looking for a good overview of LangChain + RAG, then you're in luck! @sophiamyang recently released a FANTASTIC presentation on exactly that. Covers both the basics as well as more advanced topics Presentation: https://
sophiamyang.github.io/slides-langcha
in-rag-panel/
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