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Optimizing Bark using πŸ€— Transformers

πŸ€— Transformers provides many of the latest state-of-the-art (SoTA) models across domains and tasks. To get the best performance from these models, they need to be optimized for inference speed and memory usage. The πŸ€— Hugging Face ecosystem offers precisely such ready & easy to use optimization tools that can be applied across the board to all the models in the library. This makes it easy to reduce memory footprint and improve inference with just a few extra lines of code. In this hands-on tutorial, I’ll demonstrate how you can optimize Bark, a Text-To-Speech (TTS) model supported by πŸ€— Transformers,

Advancements in Multimodal Image Generation

Not sure if anyone here follows Ethan Mollick, but he's been a great down-to-earth, practical voice in the AI scene that's filled with so much noise and hype. One of the few I tend to pay attention to. Anyway, a recent post of his is pretty interesting, dealing directly with image generation. Worth a read to see what's up and coming: https://open.substack.com/pub/oneusefulthing/p/no-elephants-breakthroughs-in-image?r=36uc0r&utm_campaign=post&utm_medium=email submitted by /u/__modusoperandi [comments] Source link

In Trump era, companies are rebranding DEI efforts, not giving up

Sundar Pichai, CEO of Google and Alphabet, attends the inauguration of a new hub in France dedicated to the artificial intelligence sector, at the Google France headquarters in Paris, France, on Feb. 15, 2024. Gonzalo Fuentes | Reuters After Google scrapped its diversity, equity and inclusion, or DEI, hiring aspirations in February, CEO Sundar Pichai addressed the matter with his employees at a company all-hands meeting.Β  “We believe in building a representative workforce,” Pichai said, according to audio obtained by CNBC. “We’re a global company, we have users around the world, and we think the best way to serve them

Visualizing Role Field Access in GraphQL: Generating and Auditing RBAC Matrix

When debugging or auditing GraphQL APIs β€” especially in Hasura β€” the key question is often: β€œWhich roles can access which fields on which types?” Answering this by hand is slow, error-prone, and unscalable. This guide shows how to auto-generate a Role Γ— Field access matrix, export it as CSV/HTML, and visualize it interactively. 1. Objective: Matrix Output Example table: Role Table Field SELECT INSERT UPDATE DELETE user users id βœ… ❌ ❌ ❌ user users email βœ… ❌ βœ… ❌ public posts title βœ… βœ… ❌ ❌ admin users password_hash βœ… βœ… βœ… βœ… 2. Data Source: Hasura Metadata

NanoPhone for just $89.97 | Mashable

TL;DR:Β This NanoPhone makes your normal smartphone look massive, and right now, it’s on sale for $89.97 (reg. $199.99) through April 27 with no coupon needed. Remember when phones actually fit in your pocket? That era was short-lived, but we sure miss it. If you’re looking for all the perks of a smartphone in a truly compact package, check out NanoPhone. It offers a truly pocket-sized experience, measuring at about the size of a credit card. And right now, you can score one for a shrunken price too β€” just $89.97, $110 off the usual price β€” until April 27.Β  Shrink

Python ASCII-TOOL

I just created my first github repo. What does the project do? The project is for the conversion of Text to ASCII and vice versa. It takes an input of the mode you would like to use, the path to the file you would like to convert and the path to an output file. I know that the project is simple but it is effective and I plan on adding more features to it in the future. Target audience: Anyone who needs encrypting/decrypting services. Comparison to other tools: Right now the tool is similar to a few out there but