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Artificial Intelligence

Made In India: This Indian AI surpasses trained experts in MIT’s data analysis benchmark test, achieving a remarkable 97.04%.

Also beating ChatGPT and Google, this is a groundbreaking achievement by a small, bootstrapped team based in Bangalore.

As a proud Made In India AI company, GlazeGPT has beaten Open AI and Google on Massachusetts Institute of Technology’s SQL generation benchmark test, achieving a remarkable 97.04% accuracy. GPT-4 only scored 54.89% while Google’s PaLM 2 only scored 33.04%. GlazeGPT attained this remarkable feat by leveraging its proprietary deep tech platform, which combines LLMs, custom models, and a range of machine learning techniques, all rigorously tested on sample data. The new India is already catching up to the world. 🚀

Companies all across the world use SQL to get critical information. But writing SQL is complex, and the process of getting insights from your own company’s data hasn’t really changed in decades.  According to a Gartner report, $379 billion in operating costs can be saved if real-time data analytics were fully implemented in companies. 70% of companies surveyed say they want to integrate real-time analytics using AI but haven’t been able to do so, leading to huge business losses.

What if all employees had an AI model like ChatGPT that understands all their company’s databases and business glossary just like Alexa understands your personal preferences?

As aptly stated by CEO Karan Doshi, “In an age where promptness is prized, can we truly afford to make decision-makers wait for insights?” This question led to GlazeGPT’s genesis.

 How it all started

GlazeGPT started a few months ago, and companies from countries like Singapore, the US, and the Middle East have already integrated millions of rows of their data in a private, secure, and compliant manner. Co-founder and CEO Karan came up with this idea, after becoming one of the youngest product managers at Flipkart’s supply chain team. While building cutting-edge supply chain products, he saw non-technical managers struggling to find real-time data for questions involving daily business operations. With his experience building data products and leading machine learning-oriented growth hack teams, and with the rise of LLMs, he knew it was finally possible to build a solution.

GlazeGPT is not just another BI tool tailored for data aficionados; it’s a tool for everyone. With seamless integrations across platforms like Slack, WhatsApp, and Google Chat, and compatibility with diverse databases like Postgres, MySQL, Snowflake, etc, with GlazeGPT, companies will never have to write SQL again.

 Meet the Founders

Karan Doshi, an alumnus of prominent tech giants and an IIT graduate, is no stranger to the realm of data. His entrepreneurial journey has been marked by innovations, evident from his prior successful ventures in the data analytics domain. Partnering him is his college friend from IIT, Atishay Jain. An expert in data engineering from his stint at the American investment bank Goldman Sachs, he had a passion for NLP and AI since his college years. He created an ETL company for the modern data stack, and using this experience built the technology backbone for GlazeGPT.

Atishay Jain elucidates, “The future of data-driven businesses won’t be dictated solely by data science prowess but by effective and swift data dissemination, fostering rapid decisions and diminishing corporate inertia.”

A purpose drive mission of building AI from India for the world

GlazeGPT’s mission is to enable every knowledge worker with a personal AI data analyst who is there with them 24*7, works with their company’s messy database, and saves them countless hours every week.

The modern company is data-rich but insight-poor, facing an overwhelming amount of data but lacking the tools to interpret it quickly. Traditional data analytics tools are hard to use for non-technical members on the team. Every company should have an AI that lets them catch up to the Fortune 500. Smaller logistics, fintech, and retail companies can integrate GlazeGPT into their daily data tasks and help them increase efficiency by more than 30%, saving tens of thousands of dollars in the process.

Customer Embrace

Pioneering data democratization, GlazeGPT boasts an impressive clientele, including unicorns. Their solution is undergoing extensive testing with global organizations, a testament to its promise and potential. GlazeGPT has already partnered with industry heavy-weights such as XpressBees, Manafa | منافع, TreeDots, etc. to help them save operations productivity.

With a cutting-edge text-to-SQL AI tool, GlazeGPT looks to take India’s AI prowess global. To check out their free demo or to have a call with their founders, check out their website: https://rebrand.ly/glazegpt-site

by Team SNFYI

Facebook is testing a new feature that invites some users—mainly in the US and Canada—to let Meta AI access parts of their phone’s camera roll. This opt-in “cloud processing” option uploads recent photos and videos to Meta’s servers so the AI can offer personalized suggestions, such as creating collages, highlight reels, or themed memories like birthdays and graduations. It can also generate AI-based edits or restyles of those images. Meta says this is optional and assures users that the uploaded media won’t be used for advertising. However, to enable this, people must agree to let Meta analyze faces, objects, and metadata like time and location. Currently, the company claims these photos won’t be used to train its AI models—but they haven’t completely ruled that out for the future. Typically, only the last 30 days of photos get uploaded, though special or older images might stay on Meta’s servers longer for specific features. Users have the option to disable the feature anytime, which prompts Meta to delete the stored media after 30 days. Privacy experts are concerned that this expands Meta’s reach into private, unpublished images and could eventually feed future AI training. Unlike Google Photos, which explicitly states that user photos won’t train its AI, Meta hasn’t made that commitment yet. For now, this is still a test run for a limited group of people, but it highlights the tension between AI-powered personalization and the need to protect personal data.

by Team SNFYI

News Update Bymridul     |    March 14, 2024 Meesho, an online shopping platform based in Bengaluru, has announced its largest Employee Stock Ownership Plan (ESOP) buyback pool to date, totaling Rs 200 crore. This buyback initiative extends to both current and former employees, providing wealth creation opportunities for approximately 1,700 individuals. Ashish Kumar Singh, Meesho’s Chief Human Resources Officer, emphasized the company’s commitment to rewarding its teams, stating, “At Meesho, our employees are the driving force behind our success.” Singh further highlighted the company’s dedication to providing opportunities for wealth creation despite prevailing macroeconomic conditions. This marks the fourth wealth generation opportunity at Meesho, with the size of the buyback program increasing each year. In previous years, Meesho conducted buybacks worth over Rs 8.2 crore in February 2020, Rs 41.4 crore in November 2020, and Rs 45.5 crore in October 2021. Meesho’s profitability journey began in July 2023, making it the first horizontal Indian e-commerce company to achieve profitability. Despite turning profitable, Meesho continues to maintain positive cash flow and focuses on enhancing efficiencies across various cost items. The company’s revenue from operations for FY 2022-23 witnessed a remarkable growth of 77% over the previous year, amounting to Rs 5,735 crore. This growth can be attributed to Meesho’s leadership position as the most downloaded shopping app in India in both 2022 and 2023, increased transaction frequency among existing customers, and a diversified category mix. Additionally, Meesho’s focus on improving monetization through value-added seller services contributed to its revenue growth. Meesho also disclosed its audited performance for the first half of FY 2023-24, reporting consolidated revenues from operations of Rs 3,521 crore, marking a 37% year-over-year increase. The company achieved profitability in Q2 FY24, with a significant reduction in losses compared to the previous year. Furthermore, Meesho recorded impressive app download numbers, reaching 145 million downloads in India in 2023 and surpassing 500 million downloads in H1 FY 2023-24. Follow Startup Story Source link

by Team SNFYI

You might’ve heard of Grok, X’s answer to OpenAI’s ChatGPT. It’s a chatbot, and, in that sense, behaves as as you’d expect — answering questions about current events, pop culture and so on. But unlike other chatbots, Grok has “a bit of wit,” as X owner Elon Musk puts it, and “a rebellious streak.” Long story short, Grok is willing to speak to topics that are usually off limits to other chatbots, like polarizing political theories and conspiracies. And it’ll use less-than-polite language while doing so — for example, responding to the question “When is it appropriate to listen to Christmas music?” with “Whenever the hell you want.” But Grok’s ostensible biggest selling point is its ability to access real-time X data — an ability no other chatbots have, thanks to X’s decision to gatekeep that data. Ask it “What’s happening in AI today?” and Grok will piece together a response from very recent headlines, while ChatGPT, by contrast, will provide only vague answers that reflect the limits of its training data (and filters on its web access). Earlier this week, Musk pledged that he would open source Grok, without revealing precisely what that meant. So, you’re probably wondering: How does Grok work? What can it do? And how can I access it? You’ve come to the right place. We’ve put together this handy guide to help explain all things Grok. We’ll keep it up to date as Grok changes and evolves. How does Grok work? Grok is the invention of xAI, Elon Musk’s AI startup — a startup reportedly in the process of raising billions in venture capital. (Developing AI’s expensive.) Underpinning Grok is a generative AI model called Grok-1, developed over the course of months on a cluster of “tens of thousands” of GPUs (according to an xAI blog post). To train it, xAI sourced data both from the web (dated up to Q3 2023) and feedback from human assistants that xAI refers to as “AI tutors.” On popular benchmarks, Grok-1 is about as capable as Meta’s open source Llama 2 chatbot model and surpasses OpenAI’s GPT-3.5, xAI claims. Image Credits: xAI Human-guided feedback, or reinforcement learning from human feedback (RLHF), is the way most AI-powered chatbots are fine-tuned these days. RLHF involves training a generative model, then gathering additional information to train a “reward” model and fine-tuning the generative model with the reward model via reinforcement learning. RLHF is quite good at “teaching” models to follow instructions — but not perfect. Like other models, Grok is prone to hallucinating, sometimes offering misinformation and false timelines when asked about news. And these can be severe — like wrongly claiming that the Israel–Palestine conflict reached a ceasefire when it hadn’t. For questions that stretch beyond its knowledge base, Grok leverages “real-time access” to info on X (and from Tesla, according to Bloomberg). And, similar to ChatGPT, the model has internet browsing capabilities, enabling it to search the web for up-to-date information about topics. Musk has promised improvements with the …