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@Alteryx Designer Cookbook — 60+ recipes to transform data into insights and take your productivity to a new level: http://
amzn.to/480Bnty from @PacktPublishing ————
#BigData #DataScience #Analytics #BI #CDO #DataScientists #DataStrategy #AI #MachineLearning #Alteryx
TOOLS
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Alteryx Designer Cookbook: 60+ Recipes for Data Transformation
By
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Python Feature Engineering Cookbook: 70+ Recipes for Machine Learning
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#Python #FeatureEngineering Cookbook with 70+ recipes for creating, engineering, & transforming features for #MachineLearning models (2nd Edition): http://
amzn.to/3Ssdh5X via @PacktPublishing ————
#AI #BigData #DataStrategy #DataLiteracy #DataScience #DataScientists #Coding #ML -
Building RAG Pipelines with LangChain and Amazon Bedrock
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Building a RAG Pipeline with LangChain and Amazon Bedrock Amazon Bedrock has lots of amazing models available to build LLM applications with This guide walks through *in detail* how to get started with them to build a RAG pipeline https://
gettingstarted.ai/langchain-bedr
ock/
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Green Screen Background Feature Simplifies Image Generation Process
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Really cool not to have to try to prompt for a simple background and then photoshop it out.
— Rob Lennon 🗯 | AI Whisperer (@thatroblennon) 15 mars 2024
When you tell your prompt stuff "green screen background" it can heavily influence the output.
Love this feature https://t.co/m4XJoRglEiReally cool not to have to try to prompt for a simple background and then photoshop it out. When you tell your prompt stuff "green screen background" it can heavily influence the output. Love this feature
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Fine-tuning LLMs Workshop at MLOpsWorld SF
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Excited to join @MLOpsWorld SF to lead a workshop on Fine-tuning Your Own #LLMs that Rival #GPT4. Join us to learn the benefits, use cases, and techniques for fine-tuning LLMs and get hands-on with popular open-source frameworks #Ludwig and #LoRAX! https://
pbase.ai/3IANSRU -
Knowledge Graphs Boost RAG Accuracy with Neo4j LangChain
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Using knowledge graphs to boost RAG accuracy Check out this guide to constructing and retrieving information from knowledge graphs in RAG applications with
@neo4j and LangChain. https://
blog.langchain.dev/enhancing-rag-
based-applications-accuracy-by-constructing-and-leveraging-knowledge-graphs/
… Graph RAG is gaining momentum as a powerful addition to -
Comparison of Claude and ChatGPT for generating logos
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Very curious what Claude is doing differently to achieve this. For comparison, ChatGPT 4 with the same prompt couldn't produce any (non-trivial) logos containing my requested text in 15 attempts — a few representative examples of the failures:
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Advanced Classification Challenges in Machine Learning with Snorkel
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Curious about how to tackle advanced classification challenges in machine learning? Snorkel's Staff Product Designer Angela Fox and Director of Product/Founding Engineer Vincent Chen dive deep into the subject. Watch the video here: https://
youtube.com/watch?v=PHMye3
EHyLk
… #machinelearning -
Abacus AI Optimization Solvers for Supply Chain and Resource Management
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State-of-the-art #Optimization Solvers from @abacusai can generate optimal solutions for biz problems fast! See: https://
abacus.ai/discrete_optim
ization
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=> Optimize #SupplyChain, Scheduling, & Resources!
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#ERP #SCM #Logistics #Analytics #PrescriptiveAnalytics #AI #MachineLearning #DataScience -
Artificial Intelligence Modern Approach Fourth Edition Book Recommendation
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Artificial Intelligence — A Modern Approach
[4th Ed.] http://
amzn.to/3iO2yjs
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#AI #BigData #DataScience #MachineLearning #ML #TransferLearning #DeepLearning #Algorithms #Mathematics #NeuralNetworks #NLProc #ComputerVision #ReinforcementLearning #ArtificialIntelligence