Apple's MLX 🍎 // Duolingo's AI Cuts ✂️ // DeepSeek LLM's Superior Performance 💪
Description
Apple's new MLX framework for on-device AI could shake up the AI race with its optimized design for Apple silicon and ecosystem of devices.
Duolingo's shift towards using AI to create more content and cutting contractors raises concerns about how AI technology will affect jobs in the long run.
The papers discussed in this episode showcase exciting advancements in open-source language models, including DeepSeek LLM's superior performance compared to GPT-3.5 and Alibaba Group's proposed system for supporting exceptionally long context lengths.
"Self-Contrast" is a new method proposed to improve the reflection capacity of Large Language Models (LLMs) by adaptively exploring diverse solving perspectives and generating a checklist to help LLMs re-examine and eliminate errors or inconsistencies.
Contact: sergi@earkind.com
Timestamps:
00:34 Introduction
01:35 Apple ML Research releases MLX for on-device AI
02:53 Duolingo Cuts 10% of Contractors as It Uses More AI to Create App Content
04:26 Attacks on machine learning models
05:37 Fake sponsor
07:22 DeepSeek LLM: Scaling Open-Source Language Models with Longtermism
09:09 Infinite-LLM: Efficient LLM Service for Long Context with DistAttention and Distributed KVCache
10:51 Self-Contrast: Better Reflection Through Inconsistent Solving Perspectives
13:06 Outro
United States
