Solving the core challenges of Retrieval-Augmented Generation

Choosing the best reranking model for your RAG-based QA system can be tricky. This blog post simplifies RAG reranking model selection, helping you pick the right one to optimize your system's performance.

Indexing in terms of RAG is the process of organizing a vast amount of text data in a way that allows the RAG system to quickly find the…

For the runtime performance aware developer

Explaining the Intuition of Word2Vec & Implementing it in Python

Cost of AI in 2024: find out how much does AI cost now depending on your use case learn effective strategies to manage and optimize expenses.

Problem: Coding manually is painstakingly slow and inefficient. Solution: Innovative ways to integrate AI during development.

Here's a thread on how to make a RAG that supports PDF, URL, Text Uploads 👇🏻 — akhlas (@akhlas_hussain)

Authors: PromptArmor

We study the effectiveness of a simple approach to develop a small base language model (LM) starting from an existing large base LM: first inherit a few transformer blocks from the larger LM, and...

Stephen Wolfram explores minimal models and their visualizations, aiming to explain the underneath functionality of neural nets and ultimately machine learning.

Learn about data chunking in RAG and explore fetch surrounding chunking, a pattern in RAG that uses chunking and Elasticsearch to refine LLM responses.

Vector databases are fascinating, and I'm surprised more people aren't talking about what makes them so fast.You can use a vector database to store arrays of...

Vercel AI SDK 3.3 introduces tracing, multi-modal attachments, JSON streaming to clients, and more.

Tutorial on building intuition about LLMs. Slides: https://link.excalidraw.com/p/readonly/aBWlNjEckdUlrszwwo6V or https://github.com/srush/LLM-Talk/blob/main...

Confused by all the jargon? Me, too. So, I did a little deep dive into LLM fine-tuning. Here’s what I understood: — Leonie (@helloiamleonie)

RAG Part1: An overview of how to Do Retrieval Augmented Generation

How to monitor AWS container environments at scale (Sponsored) In this eBook, Datadog and AWS share insights into the changing state of containers in the cloud and explore why orchestration technologies are an essential part of managing ever-changing containerized workloads.

An interactive visualization tool that explains in a visual way how the Transformer architecture works. Tool: https://poloclub.github.io/transformer-explaine...

1. A Visual Guide to Quantization. Very clear and intuitive by 2. Introduction to Quantization cooked in 🤗 with 💗🧑‍🍳 Nice introduction by with… — Omar Sanseviero (@osanseviero)

In this article, we’ll demonstrate how to extract structured data from a document using the Box AI API.

Modern artificial intelligence (AI) systems are powered by foundation models. This paper presents a new set of foundation models, called Llama 3. It is a herd of language models that natively...

Advance your career in Artificial Intelligence with Simplilearn’s Artificial Intelligence Engineer Program:  https://bit.ly/GodaGoSimplilearnThis is Part 2 o...

LangGraph is an agent framework from LangChain that allows us to develop agents via graphs. By building agents using graphs we have much more control and fle...