AI/ML

Ingest, parse, and optimize any data format ➡️ from documents to multimedia ➡️ for enhanced compatibility with GenAI frameworks - adithya-s-k/omniparse

You can prevent Perplexity from summarising a page with a simple prompt injection

Meta unveils LLM Compiler, an AI-powered suite of models revolutionizing code optimization and compilation, promising faster, more efficient software development and new frontiers in AI-assisted programming.

All-in-one AI CLI tool that integrates 20+ AI platforms, including OpenAI, Azure-OpenAI, Gemini, Claude, Mistral, Cohere, VertexAI, Bedrock, Ollama, Ernie, Qianwen, Deepseek... - sigoden/aichat

I’ve been struggling to articulate this idea, and maybe the problem is that it’s actually kind of simple once you put it out there, and there’s really no good reason to unpack a whole case for it once you put the thought on paper.

There is a new VLM on the scene and it comes with a dataset of 5Billion labels. The new model can do a variety of old world tasks like bounding boxes and segmentation along with newer LLM style captioning etc. Paper: https://arxiv.org/pdf/2311.06242 HF Spaces Demo: https://huggingface.co/spaces/gokaygokay/Florence-2 Colab : https://drp.li/fGyMm 🕵️ Interested in building LLM Agents? Fill out the form below Building LLM Agents Form: https://drp.li/dIMes 👨‍💻Github: https://github.com/samwit/langchain-tutorials (updated) https://github.com/samwit/llm-tutorials ⏱️Time Stamps: 00:00 Intro 00:13 Florence-2 Paper 02:19 Florence - 2 Architecture 03:20 Florence - 2 Detailed Image Captioning 03:41 Florence - 2 Visual Grounding 04:09 Florence - 2 Dense Region Caption 04:24 Florence - 2 Open Vocab Detection 06:01 Hugging Face Spaces Demo 10:41 Colab Florence - 2 Large Sample Usage

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Recent large language models (LLMs) can generate and revise text with human-level performance, and have been widely commercialized in systems like ChatGPT. These models come with clear...

llama.ttf is "a font file which is also a large language model and an inference engine for that model". You can see it kick into action at [8m28s in this …

LLM101n: Let's build a Storyteller. Contribute to karpathy/LLM101n development by creating an account on GitHub.

Retrieval Augmented Generation (RAG) is a technique for adding extra “knowledge” to systems built on LLMs, allowing them to answer questions against custom information not included in their training data. …

OpenAI's CTO Mira Murati isn't worried about AI's impact on creative professions.

Use the best models with Raycast Browser Extension to extend your browsing experience.

A WIRED investigation shows that the AI-powered search startup Forbes has accused of stealing its content is surreptitiously scraping—and making things up out of thin air.

A survey of every framework for extracting structured output from LLMs, and how they compare.

I gave a talk about accessing Large Language Models from the command-line last week as part of the Mastering LLMs: A Conference For Developers & Data Scientists six week long …

In an age when AI regurgitates the blather of meaningless content, seeking its audience in the attention marketplace, it's a small wonder that it is hard to tell what is really real anymore.

AI is sold to make us think less... How about using AI not to think less but *more*?

All blog post from the lytix.ai team

I believe in human creativity and don’t expect (or at all want) the robots to take over any time soon when it comes to making art in any medium. Every art has technical aspects, though, and i…

Earnest chats with objects are not so unusual. Mark “The Bird” Fidrych, the famed Detroit Tiger, used to stand on the pitching mound whispering to the baseball. Forky, the highly animate utensil from Toy Story 4, once posed deep questions about friendship to a ceramic mug. And many of us have made repeated queries of the Magic 8 Ball despite its limited set of randomly generated answers.