So much of AI and we don’t have good dubbing in YouTube.
All the demo that you see are well edited, and too much fine tuned by whole company.
Take any of my 30-45 min long video and dub Hindi Marathi or Gujarati. Or English to Spanish or Hindi and I will sign up as client with monthly high volume as well as endorse you for free.
Tag AI startups or founders below so that it reach to right audience.
Totally shocking moment from @SarvamAI - amazing voice quality, fully synthetic, cinematic expressiveness all the way to natural speech, amazing range. Total gosebumps moment seeing this live. Must watch.
Introducing Saaras V4 Multi-speaker
Our best-in-class speech recognition model that accurately captures overlapping conversations and multi-speaker interactions, while delivering state-of-the-art performance in English across accents.
Today we’ve raised $52M Seed and we are announcing the public launch of S2.1 Pro.
>It can clone a voice from 5 seconds of audio
>2x faster than Cartesia & 1/6th the cost of Eleven Labs
>most expressive model with word level control over emotion, intonation, pacing etc
We support frontier AI companies including HeyGen, LiveKit, Retell, Sanas, and OpenArt all run our model in production.
If you're a business and we can't cut your voice AI costs by 50%, we'll give you 1 year of Fish Audio for free.
Book a demo: https://t.co/vHkyZf9JoG
To celebrate our first birthday, we'll give you 1 month of S2.1 Pro for free. Like, retweet, and comment “Fish” to get it.
Memory improvements in FastAPI 0.140.0 ⚡️
Around 50% less memory usage 🐬
The benchmark says 16x improvement, but that's an extreme case.
It will depend on your app and usage of dependencies.
Thanks to ipeluffo for the investigation! 🤓
Start with this 3-hour course by Andrej Karpathy. 👇
It covers the complete LLM pipeline—from fundamentals to scaling.
What's inside:
⏱️ 00:00 — Introduction to LLMs
⏱️ 12:41 — LLM Training Pipeline
⏱️ 31:58 — LLM Tools & Plugins
⏱️ 41:14 — Transformer Architecture
⏱️ 2:19:02 — Scaling Large Language Models
If you're learning:
• AI Engineering
• LLMs
• Transformers
• Generative AI
This is one of the best free resources available.
📌 Bookmark it for later.
📖 Read the accompanying article for a deeper understanding.
What's the hardest part of learning LLMs—transformers, training, or scaling? 👇
#AI #LLM #MachineLearning #DeepLearning #GenerativeAI #AndrejKarpathy
🚨 New GenUi article series! GenUI Beyond Chat: Designing a Grammar Book
https://t.co/dpRnM18Fvz
I built a grammar book with @FlutterDev GenUI, Gemini, A2UI, @Firebase and @widgetbook_io.
Learners browse a curriculum and receive multi-page, interactive lessons composed from an application-owned widget catalog.
• Curriculum: what to teach
• System prompt: how to teach it
• GenUI catalog: how teaching can be expressed as UI
We rebuilt the open-source @invoiceninja Flutter app from the ground up. Check out the web demo here:
👉 https://t.co/rnfKyE0lWw
The code is available here:
👉 https://t.co/MNlGz3T7FS
Google just dropped a 1-hour course on agentic engineering from scratch:
00:00 – How to build your first AI agent
08:24 – Build agent memory (short, persistent, long)
28:34 – Agentic loops, long-running AI agents
40:04 – How to build MCP (MCP vs API)
1:00:22 – Multi-agentic systems
This 1-hour watch will replace 10 paid agentic courses on the internet.
Watch it today, then read how to build a self-improving agentic system in the article below.
We’re sharing the next major milestone in our non-invasive brain-to-text decoder research: Brain2Qwerty v2.
Building on v1, which was published today in @Nature, Brain2Qwerty v2 is the highest-performing end-to-end pipeline capable of real-time sentence decoding from raw brain signals. It advances beyond character-level performance to decoding words and semantics, enabling accuracy for overall communication.
We believe this research has the potential to make a real difference for the millions of people who suffer from brain lesions or disorders that prevent them from communicating.
🧵👇