Ethan B. Holland

Over 56,600 manually organized AI links and counting

a realistic baroque oil painting in an ornate gilded frame, depicting a library, a small, elegant nameplate at the bottom of the fame is engraved with the title: "RAG" --chaos 20 --ar 4:3 --style raw --personalize t9u6ckr --v 6.1

(RAG) Retrieval-Augmented Generation News: Week Ending 07/12/2024

July 12, 2024

a realistic baroque oil painting in an ornate gilded frame, depicting a library, a small, elegant nameplate at the bottom of the fame is engraved with the title: “RAG” –chaos 20 –ar 4:3 –style raw –personalize t9u6ckr –v 6.1

“Searching for Best Practices in Retrieval-Augmented Generation is a new paper that aims to identify the best practices for RAG through extensive experimentation. It is not particularly novel, but it tries to give a good overview of which components can be improved. 🤔 Sadly,

Searching for Best Practices in Retrieval-Augmented Generation is a new paper that aims to identify the best practices for RAG through extensive experimentation. It is not particularly novel, but it tries to give a good overview of which components can be improved. 🤔

Sadly,… pic.twitter.com/RPe5KEn2N2
— Philipp Schmid (@_philschmid) July 7, 2024

“A recipe for Synthetic Data 2.0? @Microsoft introduced “AgentInstruct” a new way to teach an LLM a new skill or behavior from synthetic data generated by LLM Agents. AgentInstruct improved a 7B (Orca-3) model by ~20% across all benchmarks and matched GPT-4 on RAG. AgentInstruct

A recipe for Synthetic Data 2.0? @Microsoft introduced “AgentInstruct” a new way to teach an LLM a new skill or behavior from synthetic data generated by LLM Agents. AgentInstruct improved a 7B (Orca-3) model by ~20% across all benchmarks and matched GPT-4 on RAG.

AgentInstruct… pic.twitter.com/ISJrSGVU50
— Philipp Schmid (@_philschmid) July 11, 2024

“The @WashingtonPost just launched an AI-powered climate Q&A tool! 🌍🤖 Key points: – Answers climate questions using WaPo’s published reporting – RAG (Retrieval-Augmented Generation) app based on their coverage – Transparent disclaimers about the experimental nature – Asks users

The @WashingtonPost just launched an AI-powered climate Q&A tool! 🌍🤖

Key points:
– Answers climate questions using WaPo's published reporting
– RAG (Retrieval-Augmented Generation) app based on their coverage
– Transparent disclaimers about the experimental nature
– Asks users… pic.twitter.com/ESRDNLwUhl
— Florent Daudens (@fdaudens) July 9, 2024

“Building Smarter Agents with @llama_index and Qdrant’s Hybrid Search 🦙🔍 @pavan_mantha1 explores an advanced RAG architecture combining LlamaIndex agents with Qdrant’s hybrid search capabilities! The setup leverages both dense and sparse vector embeddings for precise data

Building Smarter Agents with @llama_index and Qdrant's Hybrid Search 🦙🔍@pavan_mantha1 explores an advanced RAG architecture combining LlamaIndex agents with Qdrant's hybrid search capabilities!

The setup leverages both dense and sparse vector embeddings for precise data… pic.twitter.com/FyVJRJZp44
— Qdrant (@qdrant_engine) July 11, 2024

“As a special weekend release, we’ve implemented an initial working implementation of GraphRAG concepts in @llama_index [in beta]. GraphRAG from Microsoft has a lot of cool ideas, and we’ve implemented the following main concepts: 1. Graph Generation: Build graph and community

As a special weekend release, we’ve implemented an initial working implementation of GraphRAG concepts in @llama_index [in beta].

GraphRAG from Microsoft has a lot of cool ideas, and we’ve implemented the following main concepts:
1. Graph Generation: Build graph and community… pic.twitter.com/dMJ4RQiPQg
— LlamaIndex 🦙 (@llama_index) July 14, 2024

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Be Sure To Read This Week’s Main Post:

This week’s executive overview and top links are here:

AI News #41: Week Ending 07/12/2024 with Executive Summary and Top 58 Links

The post you just read is an deep dive extension of my weekly newsletter, This Week In AI, an executive summary of the top things to know in AI. Each week, I create an accessible overview for laypeople to feel confident they are conversant with the week’s AI developments. I include a curated list of must-click links of the week, to offer everyone a hands-on opportunity to explore the most intriguing updates in artificial intelligence across various categories, including robotics, imagery, video, AR/VR, science, ethics, and more. Beyond the overview, I post these topic-based deeper dives (below). If you haven’t read this week’s overview, I recommend starting there.

Credits/Sources

Most of these weekly links come from just a few prolific oversharing sources. Please follow them, as they work hard to find the news each week and they make it a lot easier for me to compile.