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/
…
CODE
-
Building RAG Pipelines with LangChain and Amazon Bedrock
By
–
-
Mathematical Singularities and AI Model Validation Failures
By
–
If you eg. use a mathematical model that divides by zero, you've got a singularity. But since mathematics does not allow you to divide by zero, you know that your model is wrong.
-
Building Code Agents: Programming AI Software Engineers
By
–
Webinar Wednesday 3/20: Building Code Agents! Sign up here https://
crowdcast.io/c/codeagents Agents that write and run code are powerful, as Cognition Labs showed with their recent release of Devin, the "AI SWE". But they are complex to program, hard to deploy, and even harder -
AI Autonomously Creates Website Code Without Manual Programming
By
–
I can't code in Python, it is doing everything autonomously based on my request for a "website that explains how dilution works in startup funding."
-
Building and Scaling AI Applications with LangChain and Pulumi
By
–
SF Meetup on Wednesday, March 27! Building, deploying, and scaling AI applications and services requires a lot of cross-domain expertise and collaboration. Join our meetup to hear from LangChain and Pulumi experts and learn how modern development teams are building
-
Devin AI Coder: New Modality of Human-AI Interaction
By
–
The thing that makes Devin "the AI coder" really interesting is the new modality of interaction. You can "talk" to it at any time, like you would a person, and it just keeps chugging away in the background executing and debugging your ideas.
— Ethan Mollick (@emollick) 15 mars 2024
Here is a time lapse of my project. pic.twitter.com/nMLesgzFfuThe thing that makes Devin "the AI coder" really interesting is the new modality of interaction. You can "talk" to it at any time, like you would a person, and it just keeps chugging away in the background executing and debugging your ideas. Here is a time lapse of my project.
-
Knowledge Graphs Boost RAG Accuracy with Neo4j LangChain
By
–
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 -
Advanced Classification Challenges in Machine Learning with Snorkel
By
–
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 -
High Cardinality Categorical Data Handling in Query Analysis
By
–
Benchmarking Query Analysis in High Cardinality Situations When returning information in a structured format the fields can be a myriad of types: string, boolean, integers. One of the hardest types to correctly handle is high-cardinality categorical values (or enums). In
-
Machine Learning with PyTorch and Scikit-Learn Book 35% Off
By
–
35% OFF regular price
Massive 774-page book by @rasbt => #MachineLearning with #PyTorch and Scikit-Learn: Develop #ML and #DeepLearning models with #Python” at http://
amzn.to/3J6DK4u
—————
#BigData #DataScience #AI #NeuralNetworks #ComputerVision #NLProc #DataScientists