AWS Generative AI Week 2024

📖 TUTORIALS & CASE STUDIES

AWS Generative AI Week 2024: Unlocking Business Value

read time: 15 minutes
AWS is hosting a Generative AI Week in February 2024, offering virtual sessions on leveraging generative AI for business growth. Topics include real-world use cases, embedding trust in AI apps, choosing the right foundation model, preparing data for generative AI, and building AI chatbots.

Merge Large Language Models with Mergekit: A Comprehensive Guide

read time: 15 minutes
This tutorial provides a detailed guide on using the mergekit library to merge Large Language Models (LLMs) without requiring a GPU. It covers four merging methods: SLERP, TIES, DARE, and Passthrough, and demonstrates how to create a new model, Marcoro14–7B-slerp, which topped the Open LLM Leaderboard.

Expand Your Toolkit: Build LLM Apps with LangChain.js

read time: 5 minutes
DeepLearning.AI offers a short course on using LangChain.js to build powerful LLM apps. The course covers the basics of loading and preparing data, retrieval augmented generation (RAG), and building chatbots. Free access is available for a limited time.

🧰 TOOLS

RAGatouille: A Powerful Tool for Question Answering

read time: 3 minutes
Explore RAGatouille, a tool that leverages the power of RAG (Retrieval-Augmented Generation) for question answering tasks. It's a must-have for developers looking to integrate advanced AI capabilities into their applications.

AppAgent: A New Multimodal Agent Framework for Smartphone Apps

read time: 3 minutes
Explore AppAgent, a Large Language Model (LLM)-based multimodal agent framework designed to operate smartphone apps. This innovative tool could revolutionize how we interact with mobile applications, offering a new avenue for leveraging generative AI.

CrewAI: A Framework for Orchestrating Role-Playing AI Agents

read time: 3 minutes
CrewAI is a new framework designed to orchestrate role-playing, autonomous AI agents. It fosters collaborative intelligence, enabling AI agents to work together seamlessly and tackle complex tasks.

📰 NEWS & EDITORIALS

Rabbit unveils 'r1'

read time: 25 minutes
'r1', is a revolutionary AI-powered mobile device breaking from traditional app-based systems. It features a natural language-centric OS, the "Rabbit OS," powered by a Large Action Model (LAM) for intuitive, action-driven user interaction. Aimed at simplicity and efficiency, r1 offers faster, integrated task execution across platforms.

LangChain 0.1.0: A Stable Version for Building LLM Applications

read time: 15 minutes
LangChain has released its first stable version, 0.1.0, offering improved functionality and documentation. The release introduces new versioning standards, architectural changes, and enhanced developer experience around integrations. The update also includes advancements in observability, composability, streaming, output parsing, retrieval, and agents. The team is already planning for the 0.2 release, focusing on rewriting legacy chains, adding new types of chains and agents, and improving production ingestion capabilities.

The Deeper Layers of the NYT vs OpenAI Conflict

read time: 20 minutes
This article delves into the complex layers of the ongoing lawsuit between the New York Times and OpenAI. Beyond the legal and technical aspects, it explores the fundamental disagreement on the relationship between morality and progress in the context of AI development.