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A recipe for reasoning LLMs

Want to dramatically reduce your Docker image size? In this comprehensive guide, I'll show you how to shrink your Docker images from gigabytes to just megaby...

DeepSeek-R1 is a big step forward in the open model ecosystem for AI with their latest model competing with OpenAI's o1 on a variety of metrics. There is a lot of hype, and a lot of noise around the fact that they achieved this with much less money and compute. Source: https://x.com/karpathy/status/1872362712958906460 Instead of learning about it from AI influencer* threads hyping up the release, I decided to make a reading list that links to a lot of the fundamental research papers. This list

🚀 AI Explained for Everyone – Full Crash Course in 10 Minutes! 🚀Let’s break down Artificial Intelligence (AI) into simple concepts. From understanding what...

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With the imminent release of OpenAI's -o3 reasoning model and Deepseek's impressive R1 release, it's clear that reasoning models are improving rapidly. But, ...

Anthropic's recent blog post on "Building Effective Agents" lays out the difference between "agents" and "workflows", and presents a number of common pattern...

🔥 Is Deepseek R1 REALLY better than o1? The answer might surprise you! But one thing’s for sure: with 25x more compute, you can SCALE YOUR IMPACT like never...

DeepSeek R-1 is the most powerful open-source reasoning model that performs on par with OpenAI's o1 model. Run the 1.58-bit Dynamic GGUF version by Unsloth.

Every now and then, I see headlines proclaiming, “SaaS is Dead” It’s a bold and provocative claim. I firmly believe that the SaaS model, as…

🔥 Transformers.js v3.3 — StyleTTS 2 (Kokoro) for state-of-the-art text-to-speech, Grounding DINO for zero-shot object detection 🤖 New models: StyleTTS 2, Grounding Dino StyleTTS 2: High-quality s...

A proposal to standardise on using an /llms.txt file to provide information to help LLMs use a website at inference time.

Implementing semantic cache from scratch for production use cases.

Cohere offers world-class Large Language Models (LLMs) like Command, Rerank, and Embed. These help developers and enterprises build LLM-powered applications.

Explore and run machine learning code with Kaggle Notebooks | Using data from No attached data sources

Cache-Augmented Generation: A Simple, Efficient Alternative to RAG - hhhuang/CAG

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RA-DIT, or Retrieval-Augmented Dual Instruction Tuning, is a method for fine-tuning both the LLM and the retriever in a RAG setup to enhance overall response quality

I just sat down this morning and organized all deep learning related videos I recorded in 2021. I am sure this will be a useful reference for my future self,...

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Understanding the current state of LLM scaling and the future of AI research...

Foundation models enable many new application interfaces, but one that has especially grown in popularity is the conversational interface, such as with chatbots and assistants. The conversational interface makes it easier for users to give feedback but harder for developers to extract signals. This post will discuss what conversational AI feedback looks like and how to design a system to collect the right feedback without hurting user experience.

Local LLMs making a comeback, Nvidia's personal supercomputer, Anthropic's $6B round, OpenAI working on robotics

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