Edge 392: Meet RAFT: UC Berkeley's New Method to Improve RAG Patterns in LLMs
Was this email forwarded to you? Sign up here Edge 392: Meet RAFT: UC Berkeley's New Method to Improve RAG Patterns in LLMsThe method brings the best of RAG and supervised fine tuning.
Pretraining Large Language Models (LLMs) on massive text datasets has become the norm. When these LLMs are applied to specific tasks, it’s often necessary to integrate additional information, such as the latest news or specialized knowledge, into the already trained model. This can be achieved either by prompting the model with new data or by fine-tuning it. Yet, the best way to incorporate this new knowledge into the models is still under debate. A recent paper from UC Berkeley proposes RAFT, a new technique to address precisely that issue. One of the key challenges in enhancing LLMs with new information is figuring out how to adjust these models for use in Retrieval Augmented Generation (RAG) within specialized fields. The main strategies considered are in-context learning through RAG and supervised fine-tuning. RAG allows LLMs to refer to external documents for answers, but this approach doesn’t fully utilize the learning potential in specific domain settings or make use of available documents beforehand. On the other hand, supervised fine-tuning aims to identify broader patterns in the documents, which could lead to better performance in tasks and alignment with user needs. However, this method may not always take advantage of documents during the testing phase or may overlook errors in document retrieval... Subscribe to TheSequence to read the rest.Become a paying subscriber of TheSequence to get access to this post and other subscriber-only content. A subscription gets you:
|
Older messages
Edge 391: Autonomous Agents and LLM Function Calling
Tuesday, April 30, 2024
LLMs that invoke external functions, UC Berkeley's LLM Compiler and the Phidata framework. ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
Nobody Likes a Know-It-All: Smaller LLMs are Gaining Momentum
Sunday, April 28, 2024
Phi-3 and OpenELM, two major small model releases this week. ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
Edge 390: Diving Into Databricks' DBRX: One of the Most Impressive Open Source LLMs Released Recently
Thursday, April 25, 2024
The model uses an MoE architecture which exhibits remarkable perfromance on a relatively small budget. ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
Edge 389: Understanding Large Action Models
Tuesday, April 23, 2024
One of the most important concepts in autonomous agents. ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
Some Cool Details About Llama 3
Sunday, April 21, 2024
Solid performance, new tokenizer, fairly optimal training and other details about Meta AI's new model. ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
You Might Also Like
Import AI 399: 1,000 samples to make a reasoning model; DeepSeek proliferation; Apple's self-driving car simulator
Friday, February 14, 2025
What came before the golem? ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
Defining Your Paranoia Level: Navigating Change Without the Overkill
Friday, February 14, 2025
We've all been there: trying to learn something new, only to find our old habits holding us back. We discussed today how our gut feelings about solving problems can sometimes be our own worst enemy
5 ways AI can help with taxes 🪄
Friday, February 14, 2025
Remotely control an iPhone; 💸 50+ early Presidents' Day deals -- ZDNET ZDNET Tech Today - US February 10, 2025 5 ways AI can help you with your taxes (and what not to use it for) 5 ways AI can help
Recurring Automations + Secret Updates
Friday, February 14, 2025
Smarter automations, better templates, and hidden updates to explore 👀 ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
The First Provable AI-Proof Game: Introducing Butterfly Wings 4
Friday, February 14, 2025
Top Tech Content sent at Noon! Boost Your Article on HackerNoon for $159.99! Read this email in your browser How are you, @newsletterest1? undefined The Market Today #01 Instagram (Meta) 714.52 -0.32%
GCP Newsletter #437
Friday, February 14, 2025
Welcome to issue #437 February 10th, 2025 News BigQuery Cloud Marketplace Official Blog Partners BigQuery datasets now available on Google Cloud Marketplace - Google Cloud Marketplace now offers
Charted | The 1%'s Share of U.S. Wealth Over Time (1989-2024) 💰
Friday, February 14, 2025
Discover how the share of US wealth held by the top 1% has evolved from 1989 to 2024 in this infographic. View Online | Subscribe | Download Our App Download our app to see thousands of new charts from
The Great Social Media Diaspora & Tapestry is here
Friday, February 14, 2025
Apple introduces new app called 'Apple Invites', The Iconfactory launches Tapestry, beyond the traditional portfolio, and more in this week's issue of Creativerly. Creativerly The Great
Daily Coding Problem: Problem #1689 [Medium]
Friday, February 14, 2025
Daily Coding Problem Good morning! Here's your coding interview problem for today. This problem was asked by Google. Given a linked list, sort it in O(n log n) time and constant space. For example,
📧 Stop Conflating CQRS and MediatR
Friday, February 14, 2025
Stop Conflating CQRS and MediatR Read on: my website / Read time: 4 minutes The .NET Weekly is brought to you by: Step right up to the Generative AI Use Cases Repository! See how MongoDB powers your