"Mastering #Python for Artificial Intelligence: Learn the Essential #Coding Skills to Build Advanced #AI Applications" at http://
amzn.to/3QDNTd4 ————
#DataScience #ComputationalScience #DataScientists #MachineLearning
TOOLS
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Mastering Python for Building Advanced AI Applications and Skills
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Best Kaggle Notebooks for Data Science and Machine Learning Learning
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List of best #Kaggle notebooks to launch and/or boost your #DataScience and #MachineLearning learning journey: https://
medium.com/coders-mojo/my
-list-of-kaggle-best-notebooks-topic-wise-data-science-and-machine-learning-part-2-84772863e9ae
… — compiled by @NainaChaturved8 ————
#DataScientist #ML #AI #Python -
End-to-End Framework for Production-Ready LLM Systems
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An 𝗲𝗻𝗱-𝘁𝗼-𝗲𝗻𝗱 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 for 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 and 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 your 𝗟𝗟𝗠 𝘁𝘄𝗶𝗻 (#AI replica) Source for infographic: https://
linkedin.com/posts/pauliusz
tin_machinelearning-mlops-datascience-activity-7173604535536500736-0dUH?utm_source=share&utm_medium=member_ios
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#LLMs #GenerativeAI #GenAI #DataScience #MachineLearning #DeepLearning -
Snorkel Flow: Overcoming LLM Deployment Challenges in Enterprise
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Kristina Liapchin, Lead Product Manager for Snorkel AI, explores how businesses can overcome LLMs deployment challenges + a comprehensive walkthrough of how Snorkel Flow can help. Watch the full video here: https://
youtube.com/watch?v=9Bogri
GCPaM
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Alteryx Designer Cookbook: 60+ Recipes for Data Transformation
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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 -
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