Retrieval-Augmented Generation: From Theory to LangChain Implementation We've really been enjoying @helloiamleonie
's articles lately Check out this fantastic blog covering the basics of RAG, the theory behind it, and how to use it in practice Blog: https://
towardsdatascience.com/retrieval-augm
ented-generation-rag-from-theory-to-langchain-implementation-4e9bd5f6a4f2
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LLMS
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Retrieval-Augmented Generation: RAG Theory to LangChain Implementation
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Initializing Deep Learning Models with Larger Models
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Initializing Models with Larger Ones Xu et al.: https://
arxiv.org/abs/2311.18823 #ArtificialIntelligence #DeepLearning #MachineLearning -
Fine-tuning AI models with specific training data
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Ah nice, I didn’t realise the training data was so specific. Looking forward to eventually fine-tuning this.
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ZipLoRA: Efficient Parameter-Efficient Fine-Tuning for Large Language Models
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ZipLoRA https://
bit.ly/46s765G
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
New Shortcut for Editing GPTs Directly from Chat
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During a conversation with a GPT, you can now open its menu to find an option to edit the GPT directly. Previously, you would have to navigate to the Explore page and open it from there.
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Learning JAX as a PyTorch Developer Guide
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Learning JAX as a PyTorch developer https://
bit.ly/49Vz1Os
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Mistral 7b OSS Models LangServe LangSmith Showcase
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Mistral 7b User Showcase + LangServe & LangSmith This great Austin LangChain 102 meetup produced a fantastic educational video covering OSS models, LangServe, and LangSmith https://
youtube.com/watch?v=haad3i
9VROs
… @colinmcnamara for hosting, and @Roger_M_Taylor for bringing to our attn -
Practical Guide: Master AI with Kaggle, NLP and LLM
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The guide promotes practice, offering advice on platforms like Kaggle and covering topics like NLP and Large Language Models. It also provides resources to improve coding skills for beginners.
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Embeddings and RAG Models Driving Major AI Improvements
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But one of the hottest areas by far is going to be embeddings. RAG is becoming a fixture in AI to improve the quality of model responses, and improvements in embedding models is going to be a big part of that. And after months of crickets, we got three big launches in 45 days.
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Adding Long Term Memory to OpenAI GPTs Overview
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A great overview of how we added long term memory to OpenGPTs!! https://t.co/9zRqXGZVN6
— LangChain (@LangChain) 2 décembre 2023A great overview of how we added long term memory to OpenGPTs!!