AI/ML

Upload a reference audio file and enter text to create audio in that voice. The app automatically chunks long text and uses Apple Silicon's GPU for faster processing.

SoTA open-source TTS. Contribute to resemble-ai/chatterbox development by creating an account on GitHub.

In this video, I look at the new Chatterbox TTS from Resemble.AI and how it's improving open-source text-to-speech with its impressive voice cloning and emotion control capabilities. We explore its features, including zero-shot voice cloning that requires only a few seconds of audio, and its unique ability to adjust the emotional intensity of speech. Colab: https://dripl.ink/Vxs8D Blog: https://www.resemble.ai/chatterbox/ Hugging Face Spaces: https://huggingface.co/spaces/ResembleAI/Chatterbox Hugging Face: https://huggingface.co/ResembleAI/chatterbox GitHub: Chatterbox-TTS-Extended https://github.com/petermg/Chatterbox-TTS-Extended For more tutorials on using LLMs and building agents, check out my Patreon Patreon: https://www.patreon.com/SamWitteveen Twitter: https://x.com/Sam_Witteveen 🕵️ Interested in building LLM Agents? Fill out the form below Building LLM Agents Form: https://drp.li/dIMes 👨‍💻Github: https://github.com/samwit/llm-tutorials ⏱️Time Stamps: 00:00 Intro 00:24 Resemble.AI - Chatterbox 01:53 Samples 04:53 Hugging Face: Chatterbox 05:22 Demo 06:26 Adding Exaggeration 08:56 Voice Cloning 13:00 Chatterbox TTS Extended Github 14:07 Hugging Face: Chatterbox GGUF

A vector search SQLite extension that runs anywhere! - asg017/sqlite-vec

Flow makes writing quick and clear with seamless voice dictation. It is the fastest, smartest way to type with your voice.

Check out our deep dive on the latest meta prompting methods, like DSPy and TEXTGRAD, and the best prompt generator tools out there.

5 years ago, nobody would have guessed that scaling up LLMs would as successful as they are. This belief, in part, was due to the fact that all known statistical learning theory predicted that massively oversized models should overfit, and hence perform worse than smaller models. Yet the undeniable fact is that modern LLMs do possess models of the world that allow them to generalize beyond their training data. Why do larger models generalize better than smaller models? Why does training a model to predict internet text cause it to develop world models? Come deep dive into the inner working of neural network training to understand why scaling LLMs works so damn well. Want to see more videos like this in the future? Support me on Ko-fi https://ko-fi.com/algorithmicsimplicity Papers referenced: Double Descent: https://arxiv.org/abs/1812.11118 The Lottery Ticket Hypothesis: https://arxiv.org/abs/1803.03635 My previous videos on Autoregressive Transformers: Auto-regression (and diffusion): https://youtu.be/zc5NTeJbk-k Transformers: https://youtu.be/kWLed8o5M2Y

Reasons to be optimistic and pessimistic on Anthropic's future.

Anthropic's Interactive Prompt Engineering Tutorial - anthropics/prompt-eng-interactive-tutorial

Artificial intelligence developer Anthropic is making about $3 billion in annualized revenue, according to two sources familiar with the matter, in an early validation of generative AI use in the business world.

Local Large Language Models can convert massive DataFrames to presentable Markdown reports — here's how.

Thomas Ptacek's frustrated tone throughout this piece perfectly captures how it feels sometimes to be an experienced programmer trying to argue that "LLMs are actually really useful" in many corners …

Agentic Document Extraction just got faster! We've improved the median document processing from 135 seconds to 8 seconds! Agentic Document Extraction sees documents visually and uses an iterative workflow to accurately extract text, figures, form fields, charts, and more to create an LLM-ready output. You can use our SDK to parse complex documents and get the extracted content in Markdown and JSON. You can then feed the output to an LLM, RAG application, or other downstream apps. You can also use our Playground to test out Agentic Document Extraction. Try out Agentic Document Extraction: - Playground: https://va.landing.ai/demo/doc-extraction - Library: https://github.com/landing-ai/agentic-doc Learn more: https://landing.ai/agentic-document-extraction

Implementation of the Aurora model for Earth system forecasting - microsoft/aurora

A comprehensive suite of tools, built to liberate science by making the creation, evaluation, and dissemination of research more transparent, affordable, and efficient. - robertjakob/rigorous

If the CEO of a soda company declared that soda-making technology is getting so good it’s going to ruin the global economy, you’d be forgiven for thinking that person is either lying or fully detached from reality.

New AI tools help you dig deeper

AI-Powered Handwriting Recognition with Machine Learning Techniques. AI-Powered Handwriting Recognition with Machine Learning Techniques

Optical Character Recognition (OCR) is a powerful tool for extracting text from images, and with the rise of multimodal AI models, it's now easier than ever to implement locally. In this guide, we'll show you how to build a professional OCR application using Llama 3.2-Vision, Ollama for the backend, and Streamlit for the front end.PrerequisitesBefore we start, ensure you have the following:1. Python 3.10 or higher installed.2. Anaconda (Optional)3. Ollama installed for local model hosting. Downl

In this article, we carry out handwritten text recognition using OCR. We fine tune the TrOCR model on the GNHK dataset.

Ready to become a certified watsonx AI Assistant Engineer? Register now and use code IBMTechYT20 for 20% off of your exam → https://ibm.biz/BdngMV 🚀 Try GraphRAG now! Access the code here → https://ibm.biz/BdngaC Learn more about GraphRAG here → https://ibm.biz/BdngM9 🤖 Can AI turn text into structured knowledge? Discover how GraphRAG leverages knowledge graphs, graph databases, and Cypher queries to transform unstructured data into actionable insights. See how LLMs enable intelligent retrieval and automation, reshaping workflows across industries. 🚀 AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://ibm.biz/BdngMU #knowledgegraph #cypher #ai

Self-Hosted Plaform for Secure Execution of Untrusted User/AI Code - microsandbox/microsandbox

BOND is a global technology investment firm that supports visionary founders throughout their entire life cycle of innovation & growth.

Even the best weapon is an unhappy tool.

A compelling use case for AI: a Japanese to English translator that gives me a translation, breakdown of the Chinese characters in a Japanese phrase, and the ability to ask follow-up questions.

System prompt for a Raycast chat preset, acting as a Todoist assistant using the new AI Extension. - raycast_chat_preset_instructions.md

This app creates speech audio from written text by imitating the style of a reference audio sample. You provide text and an optional audio file, and it generates high-quality speech that matches th...