Krutrim: The Indian AI Unicorn

Boost Your Productivity: Master the ChatGPT Prompt Builder

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Hello Productive Minds!

Welcome aboard our latest journey into innovation! 🚀 In this edition, we're taking you through India's thrilling AI leap, featuring Krutrim's monumental rise to unicorn glory and the vibrant world of Indic LLMs. Imagine, amidst the tech giants' ambitious plans, there's a place where technology sips chai with tradition. Intrigued? Let's unravel these stories together, sharing insights and laughs, as we delve into how India is not just stepping but leaping forward in the global AI scene. Ready for this adventure? Let's dive in, friend!

Ida Khanna,
Founder ProductiveAI Club

Today’s Menu

  • India's AI Rise: Krutrim Achieves Unicorn Status

  • Expert Guide: How to Create Powerful Prompts for ChatGPT

  • India's IT Giants: Pioneering the GenAI Transformation for the Future

  • Unveiling Indic LLMs: Shattering Expectations and Redefining Excellence

  • Multi-Prompt Techniques in Midjourney: A Guide to Advanced Creativity

India's AI Ascent: Krutrim Joins the Unicorn Club

In a groundbreaking development that marks a significant milestone for the Indian AI landscape, Krutrim, an AI startup spearheaded by the visionary entrepreneur Bhavish Aggarwal, has catapulted into the unicorn club. With a fresh infusion of $50 million from heavyweight investors including Matrix Partners India, Krutrim not only boasts a billion-dollar valuation but also the distinction of being the first Indian AI startup to achieve this feat just a month after unveiling a large language model.

Krutrim: A Beacon of Innovation

Named after the Sanskrit word for "artificial," Krutrim is at the forefront of a transformative journey, developing data centers with an ambitious vision to craft servers and supercomputers tailored for the AI ecosystem. This strategic move underscores India's proactive stance in fostering a self-reliant AI infrastructure, mirroring global endeavors to cultivate indigenous AI capabilities as seen with France's Mistral AI and the UAE's Falcon model.

The Rise of Indic LLMs

Following the global buzz generated by OpenAI's ChatGPT, a surge of Indian startups and academic cohorts are diligently working towards crafting large language models in Indian languages, dubbed Indic LLMs. These initiatives are pivotal in India's quest to create smaller, more cost-efficient AI systems that resonate with its vast linguistic diversity.

Among these trailblazers is Sarvam, a generative AI startup that recently launched OpenHathi, the first open-source Hindi LLM, hot on the heels of securing $41 million from Lightspeed Venture Partners, Vinod Khosla, and other luminaries. This underscores a burgeoning ecosystem fervently pursuing the development of bespoke AI solutions that cater to India's unique cultural and linguistic landscape.

A Visionary's Call to Action

Bhavish Aggarwal, also known for founding the Indian ride-hailing giant Ola, passionately advocates for India's imperative to carve its niche in the global AI domain. "India has to build its own AI," he asserts, committing to the monumental task of establishing the country's premier comprehensive AI computing stack.

A Quirky Note to Ponder

As we marvel at India's stride towards AI independence, it's amusing to consider that in a world where machines are learning languages, perhaps the next frontier is teaching them to appreciate a good chai. Imagine an AI that not only converses in fluent Hindi but also debates the merits of masala chai over coffee!

Mastering ChatGPT: A Step-by-Step Guide to Crafting Effective Prompts

If you’re new to ChatGPT and not sure how to create the right prompt, follow the process below to create prompts that get the job done:

  • Go to ChatGPT prompt builder.

  • Provide all the required details and specify the desired outcome.

  • Once a comprehensive prompt is created based on these details, it will be shared.

  • The prompt can then be copied and pasted back into ChatGPT for further action.

For those interested in exploring prompt creation further, consider following our guide below:

Indian IT's GenAI Revolution: Training Titans for Tomorrow

In the tech world's fast lane, Indian IT giants like TCS, Infosys, HCLTech, and Wipro are gearing up for the future by massively investing in generative AI (GenAI) training for their workforce. While they shy away from boasting about GenAI's direct revenue impacts, their actions speak volumes about their strategic vision.

A Future Forged in Training

With Infosys aiming to train 100,000 employees and TCS not far behind with 150,000, the scale of their ambition is clear. But as these companies arm their employees with GenAI knowledge, one wonders: Are they preparing for a technological revolution or merely playing catch-up with the West?

The Innovation Imperative

Despite their substantial training efforts, a critical question remains: Are these tech behemoths maximizing their workforce's potential? The contrast with foundational model builders like OpenAI and Google, who, despite smaller teams, lead in innovation, is stark. Could Indian IT's focus on operational excellence be overshadowing the need for innovation?

Are Indian IT giants too focused on training numbers rather than innovation outcomes?

The Road Ahead

As these firms navigate the GenAI wave, they face a pivotal choice: Continue as service providers or evolve into front-line innovators? The potential for Indian IT to lead in the GenAI space is immense, but realizing it requires more than just skill development—it demands a culture of innovation.

Can they shift from being global service hubs to becoming leaders in GenAI-driven solutions

The Dawn of Indic LLMs: Breaking Barriers and Setting New Benchmarks

In an inspiring display of ingenuity and determination, the Indian tech community has embarked on a fascinating journey to challenge the status quo of language model development. At the heart of this adventure is the creation of Indic Large Language Models (LLMs), a bold retort to the skepticism surrounding the feasibility of such ambitious projects.

Challenge Accepted

The story of the Telugu SLM AI Chandamama Kathalu's inception is a testament to the spirit of innovation that drives the Indian tech scene. Chokkareddy and his team embarked on this venture to prove a point - that the perceived impossibilities of Sam Altman, a prominent figure in AI, were, in fact, achievable milestones. "We did it just to show that, Hey look! We can collect the data, we can build the model and others can also use it,” Chokkareddy remarked, underscoring a significant leap forward for Indic LLMs.

This pioneering project paves the way for a future where multiple Indic LLMs flourish, challenging perceptions and expanding the horizons of what's possible within India's vibrant technological landscape. From Tech Mahindra’s Project Indus to Ola’s Krutrim and Sarvam AI, the focus is increasingly on nurturing LLMs that resonate with India's rich linguistic diversity.

Project Indus: A Beacon of Innovation

In a similar vein, Project Indus emerged as a formidable contender in the realm of Indic LLMs, spurred into action by CP Gurnani's resolve to transcend the limitations highlighted by Altman. Tech Mahindra's ambitious endeavor is set to unveil a model boasting 539 million parameters and 10 billion Hindi+ dialect tokens by April, marking a significant milestone in the development of localized AI solutions.

Ozonetel's Indic Ingenuity

Not to be outdone, Ozonetel steps into the fray with its series of Indic LLMs, leveraging the prowess of GPT-4 and other advanced models. These specialized LLMs are designed to cater to the nuanced needs of enterprise applications, showcasing the versatility and potential of Indic LLMs in transforming the business landscape.

As we venture into a new AI era, it's fascinating to ponder its cultural adaptability. Could AI soon grasp our languages and the nuanced cultural intricacies that shape us? Imagine AI mastering the art of Indian negotiation, where every conversation is a chance for a shrewd bargain.

Humor and Art in the World of AI

Multi-prompting in Midjourney

Source: @nickfloats on X

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