Download the full 5-page PDF => RAG (Retrieval Augmented Generation) Cheatsheet (with links to GitHub and research papers): https://
linkedin.com/feed/update/ur
n:li:activity:7164902842330275840/
…
—————
#AI #GenerativeAI #DeepLearning #Semantic #KnowledgeGraphs #GraphDB #VectorDB #LLMs #MachineLearning #DataScience
RESEARCH
-

RAG Cheatsheet: Complete Guide with GitHub and Research Papers
By
–
-
Action-Conditioned 2D Models Show Promise for Future Progress
By
–
I think even with action-conditioned 2D, we will get a long way
-

EMO: Audio2Video Diffusion Model for Expressive Portrait Generation
By
–
EMO: Emote Portrait Alive – Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions Tian et al.: https://
arxiv.org/abs/2402.17485 #Artificialintelligence #DeepLearning #MachineLearning -

RAG Supercharges LLM Projects: Accuracy Efficiency
By
–
Dive into the future of GenAI with RAG & end outdated results & long prompts. Discover how Retrieval-Augmented Generation can supercharge LLM projects. Perfect for those seeking accuracy & efficiency. https://
domino.buzz/49pZEKH #GenerativeAI #DataScience -

Essential Mathematics for Machine Learning: GitHub Repository Guide
By
–
Probability, Statistics, Linear Algebra and Calculus. Checkout the Github Repo → http://
github.com/afshinea/stanf
ord-cs-229-machine-learning
… -

Deep Learning and Machine Learning Tips and Tricks
By
–
Deep Learning, Tips and Tricks in Machine Learning
-
Stanford releases cheatsheets for ML, Deep Learning, Statistics, Linear Algebra
By
–
Stanford University has released these cheatsheets on Machine Learning, Deep Learning, Statistics, and Linear Algebra. Use this as your reference next time working with them:
-

Sora’s Video Generation Capabilities Enable Advanced 3D Reconstruction
By
–
Interesting early evidence that Sora, the movie creator from OpenAI, may indeed be a big leap in capabilities: “we observe that the videos generated with Sora are good enough for 3D reconstruction, with significant advantages across all selected metrics” https://
arxiv.org/abs/2402.17403 -

Low-Code AI: Practical Machine Learning Project-Driven Introduction Book
By
–
See the book "Low-Code #AI — A Practical Project-Driven Introduction to #MachineLearning" by Gwendolyn D. Stripling: https://
amzn.to/3OYKZOu
—————
#ML #DeepLearning #BigData #DataScience #DataScientists #AIStrategy -
Top 10 Ethical Considerations for AI Projects and Innovation
By
–
Ethical AI Matters! Explore the top 10 Ethical Considerations for AI Projects for a balanced approach to innovation. Essential reading for AI practitioners seeking to navigate the trustworthy landscape of #AI. Delve into the insights: