Quick Start Guide to Large Language Models — Strategies and Best Practices for Using #LLMs: http://
amzn.to/4awUGN5
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#BigData #DataScience #AI #NLProc #GPT3 #GPT4 #GPT5 #NeuralNetworks #DeepLearning #MachineLearning #Algorithms #ArtificialIntelligence
RESEARCH
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Quick Start Guide to Large Language Models: Strategies and Best Practices
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Vector Search Toolkit for NLP and RAG Solutions with Elastic
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Vector Search for Practitioners with Elastic — A toolkit for building #NLProc solutions for search, observability, and security: http://
amzn.to/3vEkWFe via @PacktPublishing ——
#DataScience #Analytics #DataScientists #MahineLearning #BigData #AI #VectorDB #RAG #LLMs #GenerativeAI -
Pretraining Vision Models and LLMs on AWS with Python
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Pretrain Vision and #LLMs (Large Language Models) in #Python — Techniques for building & deploying foundation models on #AWS: http://
amzn.to/3pT9seD via @PacktPublishing ————
#AI #MachineLearning #DeepLearning #MLOps #BigData #DataScience #NLProc #ComputerVision #DataScientists -
GPUs revolutionized Deep Learning research and development
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It started with researchers trying to use GPUs for Deep Learning, http://
robotics.stanford.edu/~ang/papers/ic
ml09-LargeScaleUnsupervisedDeepLearningGPU.pdf
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NVIDIA GPUs Deep Learning: From 2009 to $2T Market Cap
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Deep Learning with NVIDIA GPUs started way back in 2009 — this paper [1] from @AndrewYNg lab in 2009 was the first to introduce the idea. Through the last 15 years of progress with Deep Learning, @nvidia touched a market cap of $2T last week. I have memories of staring at lots
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Building RAG Chatbot with LangSmith and Multi Query
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"Chat with your PDF" Tutorial for building RAG from scratch with @austinbv In this part 4: – Use LangSmith for EVERYTHING – Implement Multi Query to increase retrieval breadth – Add conversation history to make the bot actually "chat" YouTube: https://
youtube.com/watch?v=pOuQp-
vfuns
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LLMs for Offensive Security Challenges Empirical Evaluation
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An Empirical Evaluation of LLMs for Solving Offensive Security Challenges Shao et al.: https://
arxiv.org/abs/2402.11814 #ArtificialIntelligence #Cybersecurity #LLM -
Can Sora Generate StyleGAN Interpolations?
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@model_mechanic I'm dying to know if Sora can make StyleGAN interpolations
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Improving Agent Accuracy Through Reflection and Critique
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Reflection Agents Agents are unreliable. One of the best ways to improve their accuracy is to run some step to check or critique their previous response. We've added three examples of this (based on recent papers): Reflexion Paper: https://
arxiv.org/abs/2303.11366 Language Agent Tree -
Causal AI and Bayesian Networks: Essential Resources
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Causal #AI and Bayesian Networks (680-page PDF eBook): http://
web4.cs.ucl.ac.uk/staff/D.Barber
/textbook/240415.pdf
… See @yudapearl BOOK OF WHY: http://
amzn.to/3dRGjGo
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#BigData #IoT #DataScience #Statistics #AI #MachineLearning #LinkedData #Causality #NetworkScience #PredictiveAnalytics #PrescriptiveAnalytics