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.

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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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Want to find out what artificial intelligence is all about and what it means for your world? Here are the best books on AI.

From GitHub Copilot to ChatGPT to Claude Artifacts, how Val Town borrowed the best of all the code generation tools

Get the full doc (for community members): https://dub.link/ai_engineering_patternsGreg’s Info:- Twitter: https://tiny.one/nxlgp5K- Newsletter: https://tiny.o...

Learning how to build AI powered products

Most guides to generative AI are shit, so I will try my hand at one for you.