The Button Problem of AI
What’s the real reason AI hasn’t yet delivered on its hype?
Deep Dive
Concept
TutorialHow to run graph asynchronously
Build resilient language agents as graphs. Contribute to langchain-ai/langgraph development by creating an account on GitHub.
ToolLangGraph: Desktop app for prototyping and debugging LangGraph applications locally.
Desktop app for prototyping and debugging LangGraph applications locally. - langchain-ai/langgraph-studio
Ebook
Concept
Text classification
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Databricks Certified Generative AI Engineer Associate
Batch inference using Foundation Model APIs - Azure Databricks
Learn how to do batch inference using a provisioned throughput endpoint.
Tutorial: Deploy and query a custom model
Learn the overview and basic steps for performing model serving on Databricks.
Fine Tune your LLMs with Mosaic AI Model Training
dbdemos - Databricks Lakehouse demos : Fine Tune your LLMs with Mosaic AI Model Training
LLM Chatbot With Retrieval Augmented Generation (RAG) and DBRX
dbdemos - Databricks Lakehouse demos : LLM Chatbot With Retrieval Augmented Generation (RAG) and DBRX
Tutorials | Databricks
Discover the power of Lakehouse. Install demos in your workspace to quickly access best practices for data ingestion, governance, security, data science and data warehousing.
Databricks Generative AI Cookbook — Databricks Generative AI Cookbook
UX/UIAn all-in-one CLI app to run LLMs locally
The easiest & fastest way to run customized and fine-tuned LLMs locally or on the edge
Tools
My Journey towards “Databricks Certified Generative AI Engineer Associate”
My experiences from preparing for and successfully passing the (beta) exam
The GraphRAG Manifesto: Adding Knowledge to GenAI - Graph Database & Analytics
Discover why GraphRAG will subsume vector-only RAG and emerge as the default RAG architecture for most use cases.
Concept
Tutorial
GraphRAG: New tool for complex data discovery now on GitHub
GraphRAG, a graph-based approach to retrieval-augmented generation (RAG) that significantly improves question-answering over private or previously unseen datasets, is now available on GitHub. Learn more:
Package
Alex Strick van Linschoten - How to think about creating a dataset for LLM finetuning evaluation
I summarise the kinds of evaluations that are needed for a structured data generation task.
Concept
Aligning LLM-as-a-Judge with Human Preferences
Deep dive into self-improving evaluators in LangSmith, motivated by the rise of LLM-as-a-Judge evaluators plus research on few-shot learning and aligning human preferences.
Design Pattern
Roadmap: AI Infrastructure
Read our roadmap on the next wave of enterprise data software in the age of AI.
Infrastructure
Applied LLMs - What We’ve Learned From A Year of Building with LLMs
A practical guide to building successful LLM products, covering the tactical, operational, and strategic.
Using DuckDB for Embeddings and Vector Search
Machine learning, Scala, and interactive computing
Design Pattern
The architecture of today's LLM applications
Here’s everything you need to know to build your first LLM app and problem spaces you can start exploring today.
Concept
An interview with the most prolific jailbreaker of ChatGPT and other leading LLMs
Pliny the Prompter has been finding ways to jailbreak, or remove the prohibitions and restrictions on leading LLMs, since last year.
Security
Announcing LangChain RAG Template Powered by Redis - Redis
Explore the new LangChain RAG Template with Redis integration. Streamline AI development with efficient, adaptive APIs.
Example