Nvidia just launched Chat with RTX! Nvidia's Chat with RTX is a demo app that allows users to create personalized chatbots trained on their own data. This means you can have a chatbot that can answer questions and complete tasks based on your specific information and preferences. Here are some of Chat with RTX's capabilities: 1. Personalized training: Train the chatbot on your documents, notes, videos, and other data. 2. Fast and secure: Runs locally on your RTX PC or workstation for fast and secure results. 3. Supports various file formats: Handles text, PDF, DOC/DOCX, and XML files. 4. Processes video transcripts: Use YouTube playlist URLs to incorporate video content into the training data. 5. Contextually relevant answers: Leverages retrieval-augmented generation (RAG) for informative responses. 6. TensorRT-LLM optimization: Utilizes TensorRT for efficient large language model inference. 7. RTX acceleration: Takes advantage of RTX hardware for faster performance.

Anyone interested in learning ML, Data engineering? Wana have a community on data and ML benders. Let's have fun, learning and building stuff!

Can't wait to see and test this thing!

GSMArena.com

Samsung's upcoming Galaxy Ring won't be compatible with iOS devices

It will work with non-Samsung phones eventually, though. During a roundtable discussion at this year's MWC with Samsung's VP, Hon Pak, he...

Use ChatGPT on Telegram using Heypat AI. With Heypat AI, you can easily chat with ChatGPT directly on your Telegram and WhatsApp. Easy, fast, secure! heypat.ai Here's how to use it: 1. Visit heypat.ai 2. Click on Telegram and say "Hey Pat" Or text PAT to 1-844-2HEYPAT 3. Start chatting! You can Chat with PAT Now in 3 different ways: 1. Chat on Web 2. Chat on Telegram 3. Chat on WhatsApp Best Feature: 1. Pat is your go-to, happy-go-lucky pal with knowledge. 2. Pat stands out by offering real-time data. 3. Get the latest info, trends, and insights on various topics from Pat - breaking news, market updates, culinary trends, and travel advisories. heypat.ai/chat Credits: Hasan Toor

Nvidia is now worth more than Saudi Aramco company to become the 3rd largest company in the world! Nvidia's rise to the 3rd largest company by market cap highlights the growing importance of LLM, AI and the chips that powers them. Nvidia's GPUs are particularly well-suited for AI applications, and the company has been a leader in developing AI hardware and software. Intel, the traditional leader in the chip industry, is playing still catch-up in AI. Though, they are making significant investments in AI development, and they recently announced their own line of AI chips. But the competition between Nvidia and Intel is likely to heat up in the coming years, as both companies vie for dominance in the AI market. This competition will ultimately benefit consumers, as it will lead to more innovation and lower prices for AI products and services.

Bitcoin is the 9th largest asset in the world: 1. Gold = $13.7T 2. Microsoft = $3T 3. Apple = $2.8T 4. Saudi Aramco = $2T 5. NVIDIA = $1.9T 6. Amazon = $1.8T 7. Alphabet = $1.7T 8. Silver = $1.27T 9. Bitcoin = $1.25T 10. Meta = $1.24T Source: Documenting Bitcoin

Just past 9 am, tuning into Equalizer 3 on Netflix before delving into publishing my project on Recommendation System and my new venture into Flutter! Hey #Flutter devs, diving in to learn the basics for implementing data collection in a Flutter app. 🎬💻 #coding #movies

Good morning #Nostr

Edward Snowden: A government will be exposed for buying #Bitcoin under the radar this year.

#Bitcoin Bulls Target $69K Lifetime Highs Ahead of Halving (Coindesk).

$60k soon. 👀

The Evolution of Data Analysts and Data Engineers: A Timeline: 1. In the 1970s, data analysts started to use SQL and relational databases to manage and analyze data more efficiently. 2. In the 1980s, data engineers emerged as a new role to design and build data warehouses that supported data analysts' reporting, analysis, and business intelligence needs. 3. In the 1990s, data analysts adopted data mining techniques to perform more advanced data analysis & prediction, while data engineers developed new skills to handle larger & more complex data sets. 4. In the 2000s, data engineers leveraged Google's innovations in web search and MapReduce to process massive amounts of data in distributed systems, while data analysts explored new ways to extract value from web data. 5. In the 2010s, data engineers and data analysts both benefited from the availability and affordability of cloud services that enabled them to work with Big Data and machine learning at scale. #DataScience #DataAnalytics #data #Engineering

Data analysts use SQL to query, manipulate, and analyze data from relational databases, while data engineers use SQL to create and maintain database schemas, tables, and views. #DataBytes #DataAnalyst #DataEngineer

To become the best we can be, we need to face challenges, make mistakes, and learn from them. That is how we grow up to be strong, wise, and ready to live to the fullest. Good morning! 🌞

Lust can feel like love, until it's time to make sacrifices..👀

#Bitcoin mining rate hits all-time high amid record-breaking prediction.

There are now over 10,000 different cryptocurrencies in existence. 🙂

I'm not saying I'm a crypto expert, but I can tell you the difference between a lambo and a #Bitcoin.

The only thing standing between you and your #Bitcoin goals is a little HODL and a lot of learn.

FUN FACT: 13 years ago today, the #Bitcoin    price was $0.90 ✨ Source: Bitcoin Magazine