GitHub repo: https://t.co/LfM6AdsO74(don't forget to star it ⭐) ...

Evaluate conversational LLM apps like ChatGPT in 3 steps (open-source).Unlike single-turn tasks, conversations unfold over multiple messages.This means that the LLM's behavior must be consistent, compliant, and context-aware across turns, not just accurate in one-shot output.In DeepEval, you can do that with just 3 steps:1) Define your multi-turn test case as a ConversationalTestCase.2) Define a metric with ConversationalGEval in plain English.3) Run the evaluation.Done!This will provide a detailed breakdow ...

Technology & Efficiency - RAG (Retrieval-Augmented Generation) system achieves query speeds of under 0.03 seconds across 36 million+ vectors [1] - A technique enhances RAG system memory efficiency by approximately 32x [1] Industry Adoption - Perplexity incorporates the technique in its search index [1] - Azure utilizes the technique in its search pipeline [1] - HubSpot employs the technique in its AI assistant [1]

That's a wrap!If you found it insightful, reshare it with your network.Find me → @_avichawlaEvery day, I share tutorials and insights on DS, ML, LLMs, and RAGs.Avi Chawla (@_avichawla):A simple technique makes RAG ~32x memory efficient!- Perplexity uses it in its search index- Azure uses it in its search pipeline- HubSpot uses it in its AI assistantLet's understand how to use it in RAG systems (with code): ...

Done!We just built the fastest RAG stack leveraging BQ for efficient retrieval andusing ultra-fast serverless deployment of our AI workflow.Here's the workflow again for your reference 👇 https://t.co/9LWg9ZQ42j ...

A simple technique makes RAG ~32x memory efficient!- Perplexity uses it in its search index- Azure uses it in its search pipeline- HubSpot uses it in its AI assistantLet's understand how to use it in RAG systems (with code): ...

Graph ML Applications - Google Maps uses graph ML to predict ETA [1] - Netflix uses graph ML (GNN) in recommendation [1] - Spotify uses graph ML (HGNNs) in recommendation [1] - Pinterest uses graph ML (PingSage) in recommendation [1]

Graph ML Applications - Google Maps uses graph ML to predict ETA [1] - Netflix uses graph ML (GNN) in recommendation [1] - Spotify uses graph ML (HGNNs) in recommendation [1] - Pinterest uses graph ML (PingSage) in recommendation [1] Graph Feature Engineering - The report highlights 6 must-know ways for graph feature engineering [1]

Overview - PyTorch Geometric 是一个专门为构建基于图的神经网络而开发的 PyTorch 扩展 [1] - 它具有直观的 API，有助于检查和分析图以及在基于图的数据集上构建 ML 模型 [1] Open Source - 该项目是开源的，拥有超过 22,000 个 star [1]

- Google Maps uses graph ML to predict ETA- Netflix uses graph ML (GNN) in recommendation- Spotify uses graph ML (HGNNs) in recommendation- Pinterest uses graph ML (PingSage) in recommendationHere are 6 must-know ways for graph feature engineering (with code): ...