Andrea

ReactFlow is not so good. Just asked to Cursor to create an open-source library for network graphs. I will release it on @github

Working on something of mine. Finally. #antigravity

So true.

So true.

A few days in #London talking about new AI capabilities from #GoogleCloud.

Actions speak louder than words

Download 244-page PDF “Introduction to #NeuralNetworks” Go to dkriesel.com/en/science/neu… ———— #BigData #DataScience #AI #Algorithms #MachineLearning #DeepLearning #Mathematics #Calculus #DataScientists

“DoctorGPT is an LLM that can pass the US Medical Licensing Exam. It works offline, it's cross-platform, & your health data stays private” Working on a new local model of this that will use telemetry from 16 human sensors to create a daily health check. github.com/llSourcell/Doc…

Download 348-page PDF eBook >> #MachineLearning for Scientists and Engineers: smlbook.org/book/sml-book-… ———— #DataScience #DataScientists #DeepLearning #Algorithms #AI #Mathematics

A cheat sheet of various databases in cloud services, along with their corresponding open-source/3rd-party options. Choosing the right database for your project is a complex task. The multitude of database options, each suited to distinct use cases, can quickly lead to decision fatigue. We hope this cheat sheet provides the high level direction to pinpoint the right service that aligns with your project's needs and avoid potential pitfalls. Note: Google has limited documentation for their database use cases. Even though we did our best to look at what was available and arrived at the best option, some of the entries may be not accurate. Over to you: Which database have you used in the past, and for what use cases? – Subscribe to our weekly newsletter to get a Free System Design PDF (158 pages): bit.ly/3KCnWXq

ChatGPT costs OpenAI $700,000 per day. There’s a prediction it may go bankrupt by 2024. Whatever happens in the future, this prediction is a sign that you’ll benefit from learning how to use other chatbots (if your country has access), such as Bard and Claude 2.

🚨 JUST IN: Microsoft launches Azure ChatGPT. The open-source ChatGPT tailored for enterprises. Unlike ChaGPT, this version was built to protect against disclosing intellectual property or data and features: ▸ Privacy. Your data is private and fully isolated from OpenAI. ▸ Control. Network traffic can be fully isolated to your network. Run from your local machine. ▸ Integration. Connects with your own data services and sources.

'Custom Instructions' are also now available for all ChatGPT users outside EU and UK, including free tier. Previously limited to ChatGPT Plus subscribers, this feature allows customization of instructions for more in-depth responses.

The @OpenAI cookbook is one of the most underrated and underused developer resources available today ⭐️ Here are 7 notebooks you should know about 🧵

Free AI courses for beginners: elementsofai.com - Introduction to AI learnprompting.org - learn prompting cloudskillsboost.google/journeys/118 - 9 free AI courses on AI from Google deeplearning.ai/courses/ai-for… - AI for everyone (a must watch for everyone, short course) Share free courses you took on AI

🔴 Finally! NVIDIA has finally made the code for Neuralangelo public! It has the ability to transform any video into a highly detailed 3D environment, and it's a technology related to but DIFFERENT from NeRF. 💡 Here's how it works: It takes a 2D video as input, showing an object, monument, building, landscape, etc., from various perspectives and analyzes details such as depth, size, and the shapes of objects. From this, the AI sketches an initial 3D model, similar to how an artist molds a figure. This representation is then refined to highlight more details, just as an artist would make the final touches when sculpting. The result is a 3D environment/model, perfect for use in any environment. Imagine the applications it will have for video games, cinema, virtual environments, VR, and more! 📽️🎮 💡 More details: A year ago, an article was presented on a groundbreaking technique called NVIDIA's Instant NeRF. This technique turns images into stunning 3D scenes in a short time, ideal for creating realistic models for video games and other applications. Although Instant NeRF had a lot of potential, the generated models were not perfect and often lacked detailed structures, appearing somewhat cartoonish. A year on, NVIDIA releases a new technique based on Instant NeRF, named Neuralangelo. This enhances the fidelity of surface structures. While NeRF reconstructs real objects in virtual environments from images or videos, Instant NeRF speeds up this process, and Neuralangelo further improves the quality, making the generated objects appear even more realistic when examined up close. Neuralangelo improves Instant NeRF's approach in two key ways related to the hash grid encoding technique: 1⃣ Numerical gradients have been used to compute higher-order derivatives as a smoothing operation. This optimizes the "hash grid" encoding using numerical rather than analytical gradients, providing a smoother input to the network that produces the 3D model. 2⃣ A "coarse-to-fine" optimization has been implemented in the hash grids to control different levels of detail. That is, they first focus on a smoothed version of the scene, and then refine it with more detailed updates. Well, as Arthur C. Clarke said, "Any sufficiently advanced technology is indistinguishable from magic."

Instant Voice Cloning 3 seconds of audio is all you need. Text-to-voice AI generated voices with <1 second latency. 🧵 A thread

New AI features to write research reports faster! 🚀

Very nice product.

this genre of bait